COBISS Co-operative Online Bibliographic system & services COBISS
PhD Sašo Džeroski [11130]
Personal bibliography for the period 1989-2021
ARTICLES AND OTHER COMPONENT PARTS
1.01 Original scientific article
1.
PILTAVER, Rok, LUŠTREK, Mitja, DŽEROSKI, Sašo, GJORESKI, Martin, GAMS, Matjaž. Learning
comprehensible and accurate hybrid trees.
Expert systems with applications. [Print ed.]. 2021, vol. 164, str. 113980-1-113980-11. ISSN 0957-4174. DOI:
10.1016/j.eswa.2020.113980. [COBISS.SI-ID
29771011]
2.
RATAJC, Urška, BRESKVAR, Martin, DŽEROSKI, Sašo, VREZEC, Al. Differential responses
of coexisting owls to annual small mammal population fluctuations in temperate mixed
forest.
Ibis. 2021, str. 1-17, ilustr. ISSN 1474-919X.
https://onlinelibrary.wiley.com/doi/10.1111/ibi.13029, DOI:
10-1111/ibi.13029. [COBISS.SI-ID
86789379]
3.
BRESKVAR, Martin, DŽEROSKI, Sašo. Multi-target regression rules with random output
selections.
IEEE access. 2021, vol. 9, str. 10509-10522. ISSN 2169-3536. DOI:
10.1109/ACCESS.2021.3051185. [COBISS.SI-ID
48192515]
4.
PETKOVIĆ, Matej, KOCEV, Dragi, ŠKRLJ, Blaž, DŽEROSKI, Sašo. Ensemble- and distance-based
feature ranking for unsupervised learning.
International journal of intelligent systems. [Print ed.]. [in press] 2021, 21 str. ISSN 0884-8173. DOI:
10.1002/int.22390. [COBISS.SI-ID
50534659]
5.
RADINJA, Matej, ŠKERJANEC, Mateja, ŠRAJ, Mojca, DŽEROSKI, Sašo, TODOROVSKI, Ljupčo,
ATANASOVA, Nataša. Automated modelling of urban runoff based on domain knowledge and
equation discovery.
Journal of Hydrology. [Print ed.]. dec. 2021, letn. 603 (part c), [12] str., ilustr. ISSN 0022-1694.
https://doi.org/10.1016/j.jhydrol.2021.127077,
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=133029, DOI:
10.1016/j.jhydrol.2021.127077. [COBISS.SI-ID
83909123]
financier: ARRS, P2-0180, SI, Vodarstvo in geotehnika: orodja in metode za analize
in simulacije procesov ter razvoj tehnologij
6.
BRENCE, Jure, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo. Probabilistic grammars for equation
discovery.
Knowledge-based systems. [Print ed.]. 2021, vol. 224, str. 107077-1-107077-12. ISSN 0950-7051. DOI:
10.1016/j.knosys.2021.107077. [COBISS.SI-ID
61709059]
7.
RADINJA, Matej, ŠKERJANEC, Mateja, DŽEROSKI, Sašo, TODOROVSKI, Ljupčo, ATANASOVA,
Nataša. Design and simulation of stormwater control measures using automated modeling.
Water. 2021, vol. 13, no. 16, [26] str., graf. prikazi, tabele. ISSN 2073-4441.
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=131838,
https://www.mdpi.com/2073-4441/13/16/2268/htm, DOI:
10.3390/w13162268. [COBISS.SI-ID
73739779]
financier: ARRS, P2-0180, Vodarstvo in geotehnika: orodja in metode za analize in
simulacije procesov ter razvoj tehnologij; ARRS, P2-0103, SI, Tehnologije znanja;
ARRS, P5-0093, SI, Razvoj sistema učinkovite in uspešne javne uprave; ARRS, N2-0128,
SI, Avtomatizirana sinteza in analiza znanstvenih modelov
8.
STEPIŠNIK, Tomaž, KOCEV, Dragi, DŽEROSKI, Sašo. Option predictive clustering trees
for multilabel classification.
Acta polytechnica Hungarica. 2020, vol. 17, no. 10, str. 109-128. ISSN 1785-8860. DOI:
10.12700/APH.17.10.2020.10.7. [COBISS.SI-ID
45649667]
9.
PETKOVIĆ, Matej, DŽEROSKI, Sašo, KOCEV, Dragi. Feature ranking for hierarchical multi-label
classification with tree ensemble methods.
Acta polytechnica Hungarica. 2020, vol. 17, no. 10, str. 129-148. ISSN 1785-8860. DOI:
10.12700/APH.17.10.2020.10.8. [COBISS.SI-ID
45647619]
10.
VERDEL, Nina, TANEVSKI, Jovan, DŽEROSKI, Sašo, MAJARON, Boris. Predictive model for
quantitative analysis of human skin using photothermal radiometry and diffuse reflectance
spectroscopy.
Biomedical optics express. 2020, vol. 11, no. 3, str.1679-1696. ISSN 2156-7085. DOI:
10.1364/BOE.384982. [COBISS.SI-ID
33232423]
11.
STEPIŠNIK, Tomaž, OSOJNIK, Aljaž, DŽEROSKI, Sašo, KOCEV, Dragi. Option predictive
clustering trees for multi-target regression.
Computer science and information systems. [Print ed.]. 2020, vol. 17, no. 2, str. 459-486. ISSN 1820-0214. DOI:
10.2298/CSIS190928006S. [COBISS.SI-ID
22122499]
12.
PETKOVIĆ, Matej, SLAVKOV, Ivica, KOCEV, Dragi, DŽEROSKI, Sašo. Biomarker discovery
by feature ranking : evaluation on a case study of embryonal tumors.
Computers in Biology and Medicine. [Print ed.]. [in press] 2020, 36 str. ISSN 0010-4825. DOI:
10.1016/j.compbiomed.2020.104143. [COBISS.SI-ID
41313539]
13.
NIKOLOSKI, Stevanche, KOCEV, Dragi, LEVATIĆ, Jurica, WALL, David P., DŽEROSKI, Sašo.
Exploiting partially-labeled data in learning predictive clustering trees for multi-target
regression : a case study of water quality assessment in Ireland.
Ecological informatics. [in press] 2020, 42 str. ISSN 1574-9541. DOI:
10.1016/j.ecoinf.2020.101161. [COBISS.SI-ID
31038211]
14.
TANEVSKI, Jovan, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo. Combinatorial search for selecting
the structure of models of dynamical systems with equation discovery.
Engineering applications of artificial intelligence. [Print ed.]. 2020, vol. 89, str. 103423-1-103423-14. ISSN 0952-1976. DOI:
10.1016/j.engappai.2019.103423. [COBISS.SI-ID
32975911]
15.
LEVATIĆ, Jurica, CECI, Michelangelo, STEPIŠNIK, Tomaž, DŽEROSKI, Sašo, KOCEV, Dragi.
Semi-supervised regression trees with application to QSAR modelling.
Expert systems with applications. [Print ed.]. 2020, vol. 158, str. 113569-1-113569-12. ISSN 0957-4174. DOI:
10.1016/j.eswa.2020.113569. [COBISS.SI-ID
17623811]
16.
MAHNIČ, Aleksander, BRESKVAR, Martin, DŽEROSKI, Sašo, SKOK, Pavel, PINTAR, Špela,
RUPNIK, Maja. Distinct types of gut microbiota dysbiosis in hospitalized gastroenterological
patients are disease non-related and characterized with the predominance of either
Enterobacteriaceae or Enterococcus.
Frontiers in microbiology. Feb. 2020, vol. 11, str. 1-10, ilustr. ISSN 1664-302X.
https://www.frontiersin.org/articles/10.3389/fmicb.2020.00120/full, DOI:
10.3389/fmicb.2020.00120. [COBISS.SI-ID
33165351]
17.
SIMIDJIEVSKI, Nikola, TODOROVSKI, Ljupčo, KOCIJAN, Juš, DŽEROSKI, Sašo. Equation discovery
for nonlinear systemi dentification.
IEEE access. 2020, vol. 8, str. 29930-29943. ISSN 2169-3536. DOI:
10.1109/ACCESS.2020.2972076. [COBISS.SI-ID
33208103]
18.
PETKOVIĆ, Matej, DŽEROSKI, Sašo, KOCEV, Dragi. Multi-label feature ranking with ensemble
methods.
Machine learning. [Print ed.]. [in press] 2020, 19 str. ISSN 0885-6125. DOI:
10.1007/s10994-020-05908-1. [COBISS.SI-ID
32478211]
19.
PETKOVIĆ, Matej, KOCEV, Dragi, DŽEROSKI, Sašo. Feature ranking for multi-target regression.
Machine learning. [Print ed.]. 2020, vol. 109, no. 6, str. 1179-1204. ISSN 0885-6125. DOI:
10.1007/s10994-019-05829-8. [COBISS.SI-ID
32601383]
20.
OSOJNIK, Aljaž, PANOV, Panče, DŽEROSKI, Sašo. Incremental predictive clustering trees
for online semi-supervised multi-target regression.
Machine learning. [Print ed.]. 2020, vol. 109, no. 11, str. 2121-2139. ISSN 0885-6125. DOI:
10.1007/s10994-020-05918-z. [COBISS.SI-ID
37128707]
21.
SLAVKOV, Ivica, PETKOVIĆ, Matej, GEURTS, Pierre, KOCEV, Dragi, DŽEROSKI, Sašo. Error
curves for evaluating the quality offeature rankings.
PeerJ computer science. [in press] 2020, 39 str. ISSN 2376-5992. DOI:
10.7717/peerj-cs.310. [COBISS.SI-ID
41311235]
22.
SOMRAK, Maja, DŽEROSKI, Sašo, KOKALJ, Žiga. Learning to classify structures in ALS-derived
visualizations of ancient Maya settlements with CNN.
Remote sensing. 2020, 12, [issue] 14, 20 str., ilustr. ISSN 2072-4292.
https://www.mdpi.com/2072-4292/12/14/2215, DOI:
10.3390/rs12142215. [COBISS.SI-ID
23613443]
23.
MIGNONE, Paolo, PIO, Gianvito, DŽEROSKI, Sašo, CECI, Michelangelo. Multi-task learning
for the simultaneous reconstruction of the human and mouse gene regulatory networks.
Scientific reports. 2020, vol. 10, str. 22295-1-22295-15. ISSN 2045-2322. DOI:
10.1038/s41598-020-78033-7. [COBISS.SI-ID
59581187]
24.
LJONCHEVA, Milka, STEPIŠNIK, Tomaž, DŽEROSKI, Sašo, KOSJEK, Tina. Cheminformatics
in MS-based environmental exposomics : current achievements and future directions.
Trends in environmental analytical chemistry. [in press] 2020, 33 str. ISSN 2214-1588. DOI:
10.1016/j.teac.2020.e00099. [COBISS.SI-ID
24705283]
25.
ZHOU, Naihu, VIDULIN, Vedrana, DŽEROSKI, Sašo, VIDULIN, Vedrana, et al. The CAFA challenge
reports improved protein function prediction and new functional annotations for hundreds
of genes through experimental screen.
Genome biology. [Print ed.]. 2019, vol. 20, str. 244-1-244-23. ISSN 1474-7596. DOI:
10.1186/s13059-019-1835-8. [COBISS.SI-ID
32894503]
26.
PARRALES BRAVO, Franklin, DEL BARRIO GARCÍA, Franco, GAGO VEIGA, Ana Beatriz, DE LA
SACRISTANA, María Mercedes Gallego, RUIZ PIÑERO, Marina, GUERRERO PERAL, Angel, DŽEROSKI,
Sašo, AYALA, José L. SMURF : systematic methodology for unveiling relevant factors
in retrospective data on chronic disease treatments.
IEEE access. 2019, vol. 7, str. 92598-92614. ISSN 2169-3536. DOI:
10.1109/ACCESS.2019.2927429. [COBISS.SI-ID
32884007]
27.
NIKOLOSKI, Stevanche, KOCEV, Dragi, DŽEROSKI, Sašo. Data-driven structuring of the
output space improves the performance of multi-target regressors.
IEEE access. 2019, vol. 7, str. 145177-145198. ISSN 2169-3536. DOI:
10.1109/ACCESS.2019.2945084. [COBISS.SI-ID
32772903]
28.
LUKŠIČ, Žiga, TANEVSKI, Jovan, DŽEROSKI, Sašo, TODOROVSKI, Ljupčo. Meta-model framework
for surrogate-basedparameter estimation in dynamical systems.
IEEE access. 2019, vol. 7, str. 181829 -181841. ISSN 2169-3536. DOI:
10.1109/ACCESS.2019.2959846. [COBISS.SI-ID
33102631]
29.
PETKOVIĆ, Matej, BOUMGHAR, Redouane, BRESKVAR, Martin, DŽEROSKI, Sašo, KOCEV, Dragi,
LEVATIĆ, Jurica, LUCAS, Luke, OSOJNIK, Aljaž, ŽENKO, Bernard, SIMIDJIEVSKI, Nikola.
Machine learning for predicting thermal power consumption of the Mars Express spacecraft.
IEEE aerospace and electronic systems magazine. 2019, vol. 34, no. 7, str. 46-60. ISSN 0885-8985. DOI:
10.1109/MAES.2019.2915456. [COBISS.SI-ID
32561703]
30.
NIKOLOSKI, Stevanche, MURPHY, Philip, KOCEV, Dragi, DŽEROSKI, Sašo, WALL, David. Using
machine learning to estimate herbage production and nutrient uptake on Irish dairy
farms.
Journal of dairy science. 2019, vol. 102, no. 11, str. 10639-10656. ISSN 0022-0302. DOI:
10.3168/jds.2019-16575. [COBISS.SI-ID
32594983]
31.
JURCA, Aleš, ŽABKAR, Jure, DŽEROSKI, Sašo. Analysis of 1.2 million foot scans from
North America, Europe and Asia.
Scientific reports. 2019, vol. 9, str. 1-10, ilustr. ISSN 2045-2322.
https://www.nature.com/articles/s41598-019-55432-z, DOI:
10.1038/s41598-019-55432-z. [COBISS.SI-ID
32981799]
32.
SLAVKOV, Ivica, KARCHESKA, Jana, KOCEV, Dragi, DŽEROSKI, Sašo. HMC-ReliefF : feature
ranking for hierarchical multi-label classification.
Computer science and information systems. [Print ed.]. 2018, vol. 15, no. 1, str. 187-209. ISSN 1820-0214. DOI:
10.2298/CSIS170115043S. [COBISS.SI-ID
30893607]
34.
TRAJANOV, Aneta, KUZMANOVSKI, Vladimir, RÉAL, Benoît, MARKS PERREAU, Jonathan, DŽEROSKI,
Sašo, DEBELJAK, Marko. Modeling the risk of water pollution by pesticides from imbalanced
data.
Environmental science and pollution research international. [Print ed.]. 2018, vol. 25, no. 19, str. 18781-18792. ISSN 0944-1344. DOI:
10.1007/s11356-018-2099-7. [COBISS.SI-ID
31356967]
35.
JEVŠENAK, Jernej, DŽEROSKI, Sašo, LEVANIČ, Tom. Predicting the vessel lumen area tree-ring
parameter of Quercus robur with linear and nonlinear machine learning algorithms.
Geochronometria. 2018, vol. 45, iss. 1, str. 211-222, ilustr. ISSN 1897-1695.
http://dx.doi.org/10.1515/geochr-2015-0097, DOI:
10.1515/geochr-2015-0097. [COBISS.SI-ID
5223846]
36.
KUZMANOVSKI, Vladimir, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo. Extensive evaluation of
the generalized relevance network approach to inferring gene regulatory networks.
GigaScience. 2018, vol. 7, no. 11, str. 1-22. ISSN 2047-217X. DOI:
10.1093/gigascience/giy118. [COBISS.SI-ID
31698727]
37.
SLAVKOV, Ivica, PETKOVIĆ, Matej, KOCEV, Dragi, DŽEROSKI, Sašo. Quantitative score
for assessing the quality of feature rankings.
Informatica : an international journal of computing and informatics. [Tiskana izd.]. Mar. 2018, vol. 42, no. 1, str. 43-52. ISSN 0350-5596. [COBISS.SI-ID
31329063]
38.
LEVATIĆ, Jurica, KOCEV, Dragi, CECI, Michelangelo, DŽEROSKI, Sašo. Semi-supervised
trees for multi-target regression.
Information sciences. [Print ed.]. 2018, vol. 450, str. 109-127. ISSN 0020-0255. DOI:
10.1016/j.ins.2018.03.033. [COBISS.SI-ID
31275815]
39.
VIDAK, Marko, JOVCHEVSKA, Ivana, ŠAMEC, Neja, ZOTTEL, Alja, LIOVIĆ, Mirjana, ROZMAN,
Damjana, DŽEROSKI, Sašo, JUVAN, Peter, KOMEL, Radovan. Meta-analysis and experimental
validation identified FREM2 and SPRY1 as new glioblastoma marker candidates.
International journal of molecular sciences. May 2018, vol. 19, iss. 5, str. 1-24, ilustr. ISSN 1422-0067.
http://www.mdpi.com/1422-0067/19/5/1369, DOI:
10.3390/ijms19051369. [COBISS.SI-ID
33752793]
40.
MIHELČIĆ, Matej, DŽEROSKI, Sašo, LAVRAČ, Nada, ŠMUC, Tomislav. Redescription mining
augmented with random forest of multi-target predictive clustering trees.
Journal of intelligent information systems. 2018, vol. 50, no. 1, str. 63-96. ISSN 0925-9902. DOI:
10.1007/s10844-017-0448-5. [COBISS.SI-ID
30245671]
41.
OSOJNIK, Aljaž, PANOV, Panče, DŽEROSKI, Sašo. Tree-based methods for online multi-target
regression.
Journal of intelligent information systems. 2018, vol. 50, no. 2, str. 315-339. ISSN 0925-9902. DOI:
10.1007/s10844-017-0462-7. [COBISS.SI-ID
30463783]
42.
BRESKVAR, Martin, KOCEV, Dragi, DŽEROSKI, Sašo. Ensembles for multi-target regression
with random output selections.
Machine learning. [Print ed.]. 2018, vol. 107, no. 11, str. 1673-1709. ISSN 0885-6125. DOI:
10.1007/s10994-018-5744-y. [COBISS.SI-ID
31606055]
43.
VIDULIN, Vedrana, ŠMUC, Tomislav, DŽEROSKI, Sašo, SUPEK, Fran. The evolutionary signal
in metagenome phyletic profiles predicts many gene functions.
Microbiome. 2018, vol. 6, str. 129-1-219-21. ISSN 2049-2618. DOI:
10.1186/s40168-018-0506-4. [COBISS.SI-ID
31621927]
44.
KORBEE, Cornelis, KOCEV, Dragi, DŽEROSKI, Sašo, et al. Combined chemical genetics
and data-driven bioinformatics approach identifies receptor tyrosine kinase inhibitors
as host-directed antimicrobials.
Nature communications. 2018, vol. 9, str. 358-1-358-14. ISSN 2041-1723. DOI:
10.1038/s41467-017-02777-6. [COBISS.SI-ID
31152935]
45.
SIMIDJIEVSKI, Nikola, TANEVSKI, Jovan, ŽENKO, Bernard, LEVNAJIĆ, Zoran, TODOROVSKI,
Ljupčo, DŽEROSKI, Sašo. Decoupling approximation robustly reconstructs directed dynamical
networks.
New journal of physics. [Online ed.]. [in press] 2018, 29 str. ISSN 1367-2630. DOI:
10.1088/1367-2630/aae941. [COBISS.SI-ID
31814439]
46.
JEVŠENAK, Jernej, DŽEROSKI, Sašo, ZAVADLAV, Saša, LEVANIČ, Tom. A machine learning
approach to analyzing the relationship between temperatures and multi-proxy tree-ring
records.
Tree-ring research. [Tiskana izd.]. Jul. 2018, vol. 74, iss. 2, str. 210-224, graf. prikazi, zvd. ISSN
1536-1098.
https://doi.org/10.3959/1536-1098-74.2.210, DOI:
10.3959/1536-1098-74.2.210. [COBISS.SI-ID
5155750]
47.
JEVŠENAK, Jernej, DŽEROSKI, Sašo, LEVANIČ, Tom. Uporaba metod strojnega učenja za
preučevanje odnosov med značilnostmi branik in okoljem = On the use of machine learning
methods to study the relationships between tree-ring characteristics and the environment.
Acta Silvae et Ligni. [Tiskana izd.]. dec. 2017, [št.] 114, str. 21-29, ilustr. ISSN 2335-3112.
https://doi.org/10.20315/ASetL.114.2,
http://dirros.openscience.si/IzpisGradiva.php?id=8175, DOI:
10.20315/ASetL.114.2. [COBISS.SI-ID
4998310]
48.
MIHELČIĆ, Matej, DŽEROSKI, Sašo, LAVRAČ, Nada, ŠMUC, Tomislav. A framework for redescription
set construction.
Expert systems with applications. [Print ed.]. 2017, vol. 68, str. 196-215. ISSN 0957-4174. DOI:
10.1016/j.eswa.2016.10.012. [COBISS.SI-ID
29905191]
49.
LEVATIĆ, Jurica, CECI, Michelangelo, KOCEV, Dragi, DŽEROSKI, Sašo. Semi-supervised
classification trees.
Journal of intelligent information systems. 2017, vol. 49, no. 3, str. 461-486. ISSN 0925-9902. DOI:
10.1007/s10844-017-0457-4. [COBISS.SI-ID
30539559]
50.
LEVATIĆ, Jurica, CECI, Michelangelo, KOCEV, Dragi, DŽEROSKI, Sašo. Self-training for
multi-target regression with tree ensembles.
Knowledge-based systems. [Print ed.]. 2017, vol. 123, str. 41-60. ISSN 0950-7051. DOI:
10.1016/j.knosys.2017.02.014. [COBISS.SI-ID
30498855]
51.
MIHELČIČ, Matej, ŠIMIĆ, Goran, BABIĆ LEKO, Mirjana, LAVRAČ, Nada, DŽEROSKI, Sašo,
ŠMUC, Tomislav. Using redescription mining to relate clinical and biological characteristics
of cognitively impaired and Alzheimer's disease patients.
PloS one. 2017, vol. 12, no. 10, str. 0187364 -1- 0187364 -35. ISSN 1932-6203. DOI:
10.1371/journal.pone.0187364. [COBISS.SI-ID
30880295]
52.
HORVAT, Sabina, MAHNIČ, Aleksander, BRESKVAR, Martin, DŽEROSKI, Sašo, RUPNIK, Maja.
Evaluating the effect of Clostridium difficile conditioned medium on fecal microbiota
community structure.
Scientific reports. 2017, vol. 7, 11 str. ISSN 2045-2322.
http://www.nature.com/articles/s41598-017-15434-1.pdf, DOI:
10.1038/s41598-017-15434-1. [COBISS.SI-ID
512751416]
53.
TANEVSKI, Jovan, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo. Learning stochastic process-based
models of dynamical systems from knowledge and data.
BMC systems biology. 2016, vol. 10, str. 30-1-30-17. ISSN 1752-0509. DOI:
10.1186/s12918-016-0273-4. [COBISS.SI-ID
29374503]
54.
KRSTANOSKI, Zoran, KOKALJ-VOKAČ, Nadja, ZAGORAC, Andreja, POSPIHALJ, Boris, MUNDA,
Miha, DŽEROSKI, Sašo, GOLOUH, Rastko. TMPRSS2:ERG gene aberrations may provide insight
into pT stage in prostate cancer.
BMC urology. 2016, vol. 16, str. 1-6, ilustr. ISSN 1471-2490.
https://bmcurol.biomedcentral.com/articles/10.1186/s12894-016-0160-8, DOI:
10.1186/s12894-016-0160-8. [COBISS.SI-ID
29626407]
55.
OSOJNIK, Aljaž, PANOV, Panče, DŽEROSKI, Sašo. Modeling dynamical systems with data
stream mining.
Computer science and information systems. [Print ed.]. 2016, vol. 13, no. 2, str. 453-473. ISSN 1820-0214. DOI:
10.2298/CSIS150518009O. [COBISS.SI-ID
29617959]
56.
PETKOVIĆ, Matej, PANOV, Panče, DŽEROSKI, Sašo. A comparison of different data transformation
approaches in the feature ranking context. In: CALDERS, Toon (ed.), MALERBA, Donato
(ed.), CECI, Michelangelo (ed.).
Discovery science : 19th International Conference, DS 2016 Bari, Italy, October 19-21,
2016 : proceedings. Cham [etc.]: Springer, 2016. Vol. 9956, str. 310-324. Lecture notes in computer
science, Lecture notes in artificial intelligence, LNCS 9956. ISBN 978-3-319-46306-3.
ISSN 0302-9743. [COBISS.SI-ID
29855527]
57.
SIMIDJIEVSKI, Nikola, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo. Learning ensembles of process-based
models by bagging of random library samples. In: CALDERS, Toon (ed.), MALERBA, Donato
(ed.), CECI, Michelangelo (ed.).
Discovery science : 19th International Conference, DS 2016 Bari, Italy, October 19-21,
2016 : proceedings. Cham [etc.]: Springer, 2016. Vol. 9956, str. 245-260. Lecture notes in computer
science, Lecture notes in artificial intelligence, LNCS 9956. ISBN 978-3-319-46306-3.
ISSN 0302-9743. [COBISS.SI-ID
29855271]
58.
OSOJNIK, Aljaž, DŽEROSKI, Sašo, KOCEV, Dragi. Option predictive clustering trees for
multi-target regression. In: CALDERS, Toon (ed.), MALERBA, Donato (ed.), CECI, Michelangelo
(ed.).
Discovery science : 19th International Conference, DS 2016 Bari, Italy, October 19-21,
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LAVRAČ, Nada, DŽEROSKI, Sašo, NUMAO, Masayuki. Inductive logic programming for relational
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New generation computing. 1999, vol. 17, str. 3-23. ISSN 0288-3635. [COBISS.SI-ID
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218.
DIMEC, Jure, DŽEROSKI, Sašo, TODOROVSKI, Ljupčo, HRISTOVSKI, Dimitar. WWW search engine
for Slovenian and English medical documents.
Studies in health technology and informatics. letn. 68, str. 547-552. ISSN 0926-9630. [COBISS.SI-ID
14399783]
219.
DŽEROSKI, Sašo, SCHULZE-KREMER, Steffen, HEIDTKE, Karsten R., SIEMS, Karsten, WETTSCHERECK,
Dietrich, BLOCKEEL, Hendrik. Diterpene structure elucidation from [sup]13C NMR spectra
with inductive logic programming.
Applied artificial intelligence. 1998, vol. 12, str. 363-383. ISSN 0883-9514. [COBISS.SI-ID
13278759]
220.
ZUPAN, Blaž, DŽEROSKI, Sašo. Acquiring background knowledge for machine learning using
function decomposition : a case stusdy in rheumatology.
Artificial intelligence in medicine. [Print ed.]. 1998, vol. 14, str. 101-117. ISSN 0933-3657. [COBISS.SI-ID
13773863]
221.
TODOROVSKI, Ljupčo, DŽEROSKI, Sašo, KOMPARE, Boris. Modelling and prediction of phytoplankton
growth with equation discovery.
Ecological modelling. [Print ed.]. 1998, letn. 113, str. 71-81. ISSN 0304-3800. [COBISS.SI-ID
9343961]
222.
DŽEROSKI, Sašo, ERJAVEC, Tomaž. Inductive learning of multilingual morphology.
Elektrotehniški vestnik. [Slovenska tiskana izd.]. 1998, let. 65, št. 5, str. 296-302. ISSN 0013-5852. [COBISS.SI-ID
1262676]
223.
DŽEROSKI, Sašo, GRBOVIĆ, Jasna, WALLEY, William J., KOMPARE, Boris. Using machine
learning techniques in the construction of models. 2, Data analysis with rule induction.
Ecological modelling. [Print ed.]. 1997, let. 95, št. 1, str. 95-111. ISSN 0304-3800. [COBISS.SI-ID
205153]
224.
DŽEROSKI, Sašo, LAVRAČ, Nada. Rule induction and instance-based learning applied in
medical diagnosis.
Technology and health care. 1996, 4, str. 203-221. ISSN 0928-7329. [COBISS.SI-ID
2604054]
225.
KRIŽMAN, Viljem, DŽEROSKI, Sašo, KOMPARE, Boris. Discovering dynamics from measured
data.
Elektrotehniški vestnik. [Slovenska tiskana izd.]. 1995, let. 62, št. št.3/4, str. 191-198, ilustr. ISSN
0013-5852. [COBISS.SI-ID
202337]
226.
DŽEROSKI, Sašo, TODOROVSKI, Ljupčo. Discovering dynamics : from inductive logic programming
to machine discovery.
Journal of intelligent information systems. 1995, vol. 4, str. 89-108. ISSN 0925-9902. [COBISS.SI-ID
9114407]
227.
BRATKO, Ivan, DŽEROSKI, Sašo. Engineering applications of ILP.
New generation computing. 1995, let. 13, str. 313-333. ISSN 0288-3635. [COBISS.SI-ID
603476]
228.
RAEDT, Luc de, DŽEROSKI, Sašo. First-order jk-clasual theories are PAC-learnable.
Artificial intelligence. [Print ed.]. 1994, vol. 70, str. 375-392. ISSN 0004-3702. [COBISS.SI-ID
9114663]
229.
KOMPARE, Boris, BRATKO, Ivan, STEINMAN, Franci, DŽEROSKI, Sašo. Using machine learning
techniques in the construction of models. Part 1, Introduction.
Ecological modelling. [Print ed.]. 1994, vol. 75/76, str. 617-628, ilustr. ISSN 0304-3800. [COBISS.SI-ID
9215783]
230.
LAVRAČ, Nada, DŽEROSKI, Sašo. Weakening the language bias in LINUS.
Journal of experimental & theoretical artificial intelligence. [Print ed.]. 1994, 6, str. 95-119. ISSN 0952-813X. [COBISS.SI-ID
2679830]
231.
KIETZ, J. U., DŽEROSKI, Sašo. Inductive logic programming and learnbility.
SIGART bulletin. 1994, vol. 5, str. 22-32. ISSN 1053-4830. [COBISS.SI-ID
9215527]
232.
LAVRAČ, Nada, DŽEROSKI, Sašo, PIRNAT, Vladimir, KRIŽMAN, Viljem. The utility of background
knowledge in learning medical diagnostic rules.
Applied artificial intelligence. Jul.-Sept. 1993, vol. 7, no. 3, str. 273-293. ISSN 0883-9514. [COBISS.SI-ID
2677014]
233.
DŽEROSKI, Sašo, CESTNIK, Bojan, PETROVSKI, I. Using the m-estimate in rule induction.
CIT : journal of computing and information technology. 1993, vol. 1, str. 37-46. ISSN 1330-1136. [COBISS.SI-ID
5897255]
234.
DŽEROSKI, Sašo, LAVRAČ, Nada. Inductive learning in deductive databases.
IEEE transactions on knowledge and data engineering. [Print ed.]. 1993, vol. 5, no. 6, str. 939-949. ISSN 1041-4347. [COBISS.SI-ID
2694422]
235.
DŽEROSKI, Sašo. Learning qualitative models with inductive logic programming.
Informatica : an international journal of computing and informatics. [Tiskana izd.]. 1992, vol. 16, str. 30-41. ISSN 0350-5596. [COBISS.SI-ID
5601575]
1.02 Review article
236.
LAVRAČ, Nada, WEBER, I., ZUPANIČ, Darko, KAZAKOV, D., ŠTEPANKOVA, O., DŽEROSKI, Sašo.
ILPNET repositories on WWW : inductive logic programming systems, datasets and bibliography.
AI communications : The European journal on artificial intelligence. 1996, vol. 9, str. 155-234. ISSN 0921-7126. [COBISS.SI-ID
12509223]
1.04 Professional article
237.
VERDEV, Milan, BOHANEC, Marko, DŽEROSKI, Sašo. Podpora odločanju pri sistemu ravnanja
z odpadno električno in elektronsko opremo.
Gospodarjenje z odpadki : Revija za varovanje okolja. 2007, letn. 16, št. 63, str. 2-7. ISSN 1318-0673. [COBISS.SI-ID
21112615]
238.
KOBAL, Alfred Bogomir, HORVAT, Milena, PREZELJ, Marija, SEŠEK-BRIŠKI, Alenka, KRSNIK,
Mladen, DIZDAREVIČ, Tatjana, MAZEJ, Darja, FALNOGA, Ingrid, STIBILJ, Vekoslava, ARNERIĆ,
Niko, KOBAL GRUM, Darja, KNAP, Črt, POMPE-KIRN, Vera, ZADNIK, Vesna, ŽENKO, Bernard,
DŽEROSKI, Sašo, OSREDKAR, Joško. Vpliv elementarnega živega srebra na peroksidacijo
lipidov in funkcijsko sposobnost posameznih tarčnih organov pri prebivalcih mesta
Idrija in delavcih rudnika : zaključno poročilo raziskovalnega projekta (skrajšana
verzija) (2004).
Idrijski razgledi. 2005, letn. 50, št. 1, str. 20-30. ISSN 0019-1523. [COBISS.SI-ID
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239.
BRATKO, Ivan, DŽEROSKI, Sašo, KOMPARE, Boris. Analiza ekoloških podatkov z metodami
strojnega učenja - načrtujmo zakonitosti, predvidevajmo posledice.
Okolje : slovenski ekološki glasnik. 1997, vol. 5, str. 26. ISSN 1318-0908. [COBISS.SI-ID
12764967]
240.
TODOROVSKI, Ljupčo, DŽEROSKI, Sašo. Modeliranje dinamičnih sistemov z avtomatskim
odkrivanjem zakonitosti.
Elektrotehniški vestnik. [Slovenska tiskana izd.]. 1994, 61, št. 1/2, str. [55]-[64], ilustr. ISSN 0013-5852.
[COBISS.SI-ID
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241.
DŽEROSKI, Sašo. Report : AAAI`93, 11-15 July, Washington, D.C., USA.
Informatica : an international journal of computing and informatics. [Tiskana izd.]. 1993, vol. 17, str. 200-201. ISSN 0350-5596. [COBISS.SI-ID
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242.
DŽEROSKI, Sašo. Report : ML`93, 27 June - 1 July, Amherst, MA, USA.
Informatica : an international journal of computing and informatics. [Tiskana izd.]. 1993, vol. 17, str. 202-203. ISSN 0350-5596. [COBISS.SI-ID
5894695]
1.05 Popular article
243.
DŽEROSKI, Sašo, DEBELJAK, Marko, ŽENKO, Bernard. Četrta evropska konferenca o ekološkem
modeliranju (The Fourth European Conference on Ecological Modelling [ECEM 2004] in
četrta mednarodna delavnica o uporabi stojnega učenja za analizo podatkov o okolju
[Fourth International Workshop on Environmental Applications of Machine Learning [AML
2004]].
Novice IJS. [Tiskana izd.]. 2004, št. 115, str. 6-10. ISSN 1581-2707. [COBISS.SI-ID
18714407]
244.
DŽEROSKI, Sašo. Uporabno odkrivanje znanja iz kopice podatkov.
Delo. [Tiskana izd.]. 23. jun. 1999, leto 41, št. 143, str. 15. ISSN 0350-7521. [COBISS.SI-ID
100749568]
1.06 Published scientific conference contribution (invited lecture)
245.
DŽEROSKI, Sašo. Inductive databases and constraint-based data mining. In: VALTCHEV,
Petko (ed.), JÄSCHKE, Robert (ed.).
Formal concept analysis : proceedings. 9th International Conference, ICFCA 2011, May 2-6, 2011, Nicosia, Cyprus. Heidelberg
[etc.]: Springer, cop. 2011. Str. 1-17. Lecture note in computer science, Lecture
notes in artificial intelligence, vol. 6628. ISBN 978-3-642-20513-2. ISSN 0302-9743.
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246.
DŽEROSKI, Sašo. Inductive process modeling for systems biology. In: BRIDEWELL, Will
(ed.), et al.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
in Databases, ECML/PKDD 2008 : proceedings of Induction of process models, IPM'08,
15 September, 2008, Antwerp, Belgium. [S. l.: s. n.], 2008. Str. 3-4. [COBISS.SI-ID
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247.
DŽEROSKI, Sašo. Machine learning and ecological modelling : successes and chalenges.
In:
Challenges for ecological modelling in a changing world: global changes, sustainability
and ecosystem based management : conference proceedings. The 6th European conference on Ecological Modelling, ECEM '07, Trieste, November
27-30,2007. [S. l.: s. n.], 2007. Str. 10-11. [COBISS.SI-ID
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248.
DŽEROSKI, Sašo. From inductive logic programming to relational data mining. In:
Logics in artificial intelligence : 10th European conference, JELIA 2006, Liverpool,
UK, September 13-15, 2006 : proceedings. Berlin; Heildeberg; New York: Springer, 2006. Str. 1-14. Lecture notes in computer
science, Lecture notes in artifical intelligence, vol. 4160. ISBN 3-540-39625-X, ISBN
978-3-540-39625-3. ISSN 0302-9743. [COBISS.SI-ID
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249.
DŽEROSKI, Sašo. Language resources and machine learning. In: KON-POPOVSKA, Margita
(ed.), ZDRAVKOVA, Katerina (ed.).
BCI2005 : proceedings of the 2nd Balkan Conference in Informatics, 17-19 November,
2005, Ohrid. Skopje: Faculty of Natural Sciences and Mathematics, 2005. Str. 1-12. ISBN 9989-668-49-3.
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250.
DŽEROSKI, Sašo, TODOROVSKI, Ljupčo, LJUBIČ, Peter. Inductive queries on polynomial
equations. In: BOULICAUT, Jean-François (ed.), RAEDT, Luc de (ed.), MANNILA, Heikki
(ed.).
Constraint-based mining and inductive databases : European Workshop on Inductive Databases
and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004 : revised selected
papers. Berlin; New York: Springer, 2005. Str. 127-154. Lecture notes in computer science,
Lecture notes in artificial intelligence, vol. 3848. ISBN 3-540-31331-1, ISBN 978-3-540-31331-1.
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251.
DŽEROSKI, Sašo. Data mining and its environmental applications. In: STANKOVSKI, Mile
J. (ed.).
ETAI 2005 : proceedings of VII National Conference with international participation
: 21-24 September 2005, Ohrid, Republic of Macedonia. [S.l.]: Society for Electronics, Telecommunications, Automatics and Informatics
of the Republic of Macedonia, 2005. [COBISS.SI-ID
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252.
DŽEROSKI, Sašo. Learning in rich representations : inductive logic programming and
computational scientific discovery. In: MATWIN, Stan (ed.), SAMMUT, Claude (ed.).
Inductive logic programming : 12th international conference, ILP 2002, Sydney, Australia,
July 9-11, 2002 : revised papers. Berlin; Heidelberg; New York: Springer, cop. 2003. Str. 346-349. Lecture notes in
computer science, 2583, Lecture notes in artificial intelligence. ISBN 3-540-00567-6.
ISSN 0302-9743. DOI:
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253.
DŽEROSKI, Sašo. Computational scientific discovery and inductive databases. In:
ICDM '02, the 2002 IEEE International Conference on Data Mining : proceedings [of]
International Workshop on Active Mining (AM-2002), Maebashi City, Japan, December
9, 2002. [S.l.]: IEEE Computer Society, 2002. Str. 4-15. [COBISS.SI-ID
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254.
DŽEROSKI, Sašo. Learning in rich representation : inductive logic programming and
computational scientific discovery. In: SAMMUT, Claude (ed.), HOFFMANN, Achim (ed.).
Machine learning : proceedings of the Nineteenth International Conference (ICML 2002),
University of New South Wales, Sydney, Australia, July 8-12, 2002. San Francisco: Morgan Kaufmann, 2002. Str. 701-702. The Morgan Kaufmann series in
machine learning. ISBN 1-55860-873-7. ISSN 1049-1910. [COBISS.SI-ID
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255.
DŽEROSKI, Sašo. relational reinforcement learning for agents with objects. In:
Proceedings of the AISB'02 Symposium on Adaptive Agents and Multi-Agent Systems :
3rd-5th April, 2002, Imperial College of Science, Technology and Medicine University
of London. [S.l.]: The Society for the Study of Artificial Intelligence and Simulation of Behaviour,
2002. Str. 1-8. ISBN 1-902956-28-0. [COBISS.SI-ID
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256.
HRISTOVSKI, Dimitar, PETERLIN, Borut, DŽEROSKI, Sašo. Discovery support system for
medicine and genetics. In: GLAVAČ, Damjan (ed.), RAVNIK-GLAVAČ, Metka (ed.).
Congress proceedings. 2nd Congress of Genetic Society of Slovenia with International Participation, Bled,
September 13 - 17, 2000. Ljubljana: Slovensko genetsko društvo: = Genetic Society
Slovenia, 2000. Str. 231-232. ISBN 961-90534-2-7. [COBISS.SI-ID
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257.
BRATKO, Ivan, DŽEROSKI, Sašo. New AI techniques applied to modelling. In: JEZERNIK,
Anton (ed.), DOLŠAK, Bojan (ed.).
Proceedings. International Conference Design to Manufacture in Modern Industry, Bled, Slovenia,
29-30 May 1995. Maribor: Faculty of Mechanical Engineering, 1995. Str. 359-372, ilustr.
ISBN 86-435-0108-5. [COBISS.SI-ID
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258.
LAVRAČ, Nada, DŽEROSKI, Sašo. Background knowledge and declarative bias in inductive
concept learning. In: JANTKE, Klaus P. (ed.).
Analogical and inductive inference : international workshop AII '92, Dagstuhl Castle,
Germany, October 5-9, 1992 : proceedings. International Workshop AII '92, Dagstuhl Castle, Germany, October 1992. Berlin [etc.]:
Springer-Verlag, 1992. Str. 51-71. Lecture notes in computer science, Lecture notes
in artificial intelligence, 642. ISBN 3-540-56004-1, ISBN 0-387-56004-1. [COBISS.SI-ID
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1.08 Published scientific conference contribution
259.
KOSTOVSKA, Ana, VERMETTEN, Diederick, DOERR, Carola, DŽEROSKI, Sašo, PANOV, Panče,
EFTIMOV, Tome. OPTION : optimization algorithm benchmarking ontology. In: CHICANO,
Francisco (ed.).
GECCO '21, Proceedings of the Genetic and Evolutionary Computation Conference Companion,
10 July - 14 July, 2021, Lille, France. New York: ACM = Association for Computing Machinery, 2021. Str. 239-240. ISBN 978-1-4503-8350-9.
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260.
POPOV, Stefan, BRESKVAR, Martin, SNOJ TRATNIK, Janja, MAZEJ, Darja, HORVAT, Milena,
DŽEROSKI, Sašo. Relating prenatal Hg exposure and neurological development in children
with machine learning. In: SKALA, Karolj (ed.).
MIPRO 2021 : 44th International Convention, September 27 - October 1, 2021, Opatija,
Croatia : proceedings. Rijeka: Croatian Society for Information and Communication Technology, Electronics
and Microelectronics - MIPRO, cop. 2021. Str. 418-423. MIPRO ... ISSN 1847-3946. [COBISS.SI-ID
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261.
POPOV, Stefan, KAVKLER, Katja, DŽEROSKI, Sašo. Using machine learning to identify
factors contributing to mould in the Celje ceiling painting. In: SKALA, Karolj (ed.).
MIPRO 2021 : 44th International Convention, September 27 - October 1, 2021, Opatija,
Croatia : proceedings. Rijeka: Croatian Society for Information and Communication Technology, Electronics
and Microelectronics - MIPRO, cop. 2021. Str. 243-248. MIPRO ... ISSN 1847-3946. [COBISS.SI-ID
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262.
KOSTOVSKA, Ana, PETKOVIĆ, Matej, STEPIŠNIK, Tomaž, PANOV, Panče, DŽEROSKI, Sašo, SIMIDJIEVSKI,
Nikola, KOCEV, Dragi, et al. GalaxAI : machine learning toolbox for interpretable
analysis of spacecraft telemetry data. In:
Proceedings : 8th IEEE International Conference on Space Mission Challenges for Information
Technology, 26-30 July, 2021 : online event. Str. 44-52. ISBN 978-1-7281-8560-6. [COBISS.SI-ID
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263.
PETKOVIĆ, Matej, STEPIŠNIK, Tomaž, LUCAS, Luke, DŽEROSKI, Sašo, PANOV, Panče, SIMIDJIEVSKI,
Nikola, KOCEV, Dragi. Data frugal machine learning for simplifying spacecraft mission
planning. In:
SPACEOPS 2021, virtual edition. [S. l.]: SANSA = South African National Space Agency. 3 str.
https://spaceops.iafastro.directory/a/paper/id/841/abstract-pdf/SpaceOps-2020,13,5,4,x841.brief.pdf?2019-11-14.10:11:08. [COBISS.SI-ID
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264.
VIDULIN, Vedrana, DŽEROSKI, Sašo. Hierarchy decomposition pipeline : a toolbox for
comparison of model induction algorithms on hierarchical multi-label classification
problems. In: APPICE, Annalisa (ed.).
Discovery Science : 23rd International Conference, DS 2020, Thessaloniki, Greece,
October 19-21, 2020, Proceedings. Cham: Springer, 2020. Lncs 12323, str. 486-501. Lecture notes in computer science,
12323. ISBN 978-3-030-61526-0, ISBN 978-3-030-61527-7. ISSN 0302-9743. [COBISS.SI-ID
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265.
BRENCE, Jure, TANEVSKI, Jovan, ADAMS, Jennifer, MALINA, Edward, DŽEROSKI, Sašo. Learning
surrogates of a radiative transfer model for the sentinel 5P satellite. In: APPICE,
Annalisa (ed.).
Discovery Science : 23rd International Conference, DS 2020, Thessaloniki, Greece,
October 19-21, 2020, Proceedings. Cham: Springer, 2020. Lncs 12323, str. 217-230. Lecture notes in computer science,
12323. ISBN 978-3-030-61526-0, ISBN 978-3-030-61527-7. ISSN 0302-9743. [COBISS.SI-ID
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266.
TOLOVSKI, Ilin, DŽEROSKI, Sašo, PANOV, Panče. Semantic annotation of predictive modelling
experiments. In: APPICE, Annalisa (ed.).
Discovery Science : 23rd International Conference, DS 2020, Thessaloniki, Greece,
October 19-21, 2020, Proceedings. Cham: Springer, 2020. Lncs 12323, str. 124-139. Lecture notes in computer science,
12323. ISBN 978-3-030-61526-0, ISBN 978-3-030-61527-7. ISSN 0302-9743. [COBISS.SI-ID
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267.
KOSTOVSKA, Ana, DŽEROSKI, Sašo, PANOV, Panče. Semantic description of data mining
datasets: an ontology-based annotation schema. In: APPICE, Annalisa (ed.).
Discovery Science : 23rd International Conference, DS 2020, Thessaloniki, Greece,
October 19-21, 2020, Proceedings. Cham: Springer, 2020. Lncs 12323, str. 140-155. Lecture notes in computer science,
12323. ISBN 978-3-030-61526-0, ISBN 978-3-030-61527-7. ISSN 0302-9743. [COBISS.SI-ID
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268.
PETKOVIĆ, Matej, CECI, Michelangelo, KERSTING, Kristian, DŽEROSKI, Sašo. Estimating
the importance of relational features by using gradient boosting. In:
Foundations of Intelligent Systems : 25th International Symposium [on Methodologies
for Intelligent Systems], ISMIS 2020, Graz, Austria, September 23-25, 2020 : proceedings. Cham: Springer, 2020. Str. 362-371. Lecture notes in computer science, Lecture notes
in artificial intelligence, Vol. 12117. ISBN 978-3-030-59490-9, ISBN 978-3-030-59491-6.
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269.
BRESKVAR, Martin, DŽEROSKI, Sašo. Predicting Associations Between Proteins and multiple
diseases. In:
Foundations of Intelligent Systems : 25th International Symposium [on Methodologies
for Intelligent Systems], ISMIS 2020, Graz, Austria, September 23-25, 2020 : proceedings. Cham: Springer, 2020. Str. 383-392. Lecture notes in computer science, Lecture notes
in artificial intelligence, Vol. 12117. ISBN 978-3-030-59490-9, ISBN 978-3-030-59491-6.
ISSN 0302-9743.
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271.
SZLUPOWICZ, Michał Artur, BRENCE, Jure, ADAMS, Jennifer, MALINA, Edward, DŽEROSKI,
Sašo. Machine learning of surrogate models with an application to sentinel 5P. In:
LUŠTREK, Mitja (ed.), GAMS, Matjaž (ed.), PILTAVER, Rok (ed.).
Slovenska konferenca o umetni inteligenci = Slovenian Conference on Artificial Intelligence
: 6.-7. oktober 2020, 6-7 October 2020, Ljubljana, Slovenia : Informacijska družba
- IS 2020 = Information Society - IS 2020 : zbornik 23. mednarodne multikonference
= proceedings of the 23rd innternational multiconference : zvezek A = volume A. Ljubljana: Institut "Jožef Stefan", 2020. Str. 104-107. Informacijska družba. ISBN
978-961-264-202-0, ISBN 978-961-264-203-7. ISSN 2630-371X.
http://library.ijs.si/Stacks/Proceedings/InformationSociety/2020/IS2020_Volume_A%20-%20SLAIS.pdf. [COBISS.SI-ID
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272.
NOVAK, Rok, KOCMAN, David, ROBINSON, Johanna A., KANDUČ, Tjaša, SARIGIANNIS, Denis,
DŽEROSKI, Sašo, HORVAT, Milena. Low-cost environmental and motion sensor data for
complex activity recognition : proof of concept. In:
Special Issue "Selected Papers from the 7th International Electronic Conference on
Sensors and Applications", 15-30 November 2020 : webinar. Vol. 2, no. 1, str. 54-1-54-6. Engineering proceedings, Vol. 54, no. 2, 2020. ISSN
2673-4591. DOI:
10.3390/ecsa-7-08194. [COBISS.SI-ID
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273.
PANOV, Panče, KOSTOVSKA, Ana, TOLOVSKI, Ilin, DŽEROSKI, Sašo. Semantic annotation
of data on neurodegenerative diseases in patients using ontologies. In:
Abstract book. 2nd HBP Student Conference - Transdisciplinary Research Linking Neuroscience, Brain
Medicine and Computer Science, 14-16 February 2018, Ljubljana, Slovenia. [S. l.]:
Frontiers Media SA, 2019. Str. 48-50. Human brain project education programme. ISBN
978-2-88945-588-1. [COBISS.SI-ID
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274.
PETKOVIĆ, Matej, DŽEROSKI, Sašo, KOCEV, Dragi. Ensemble-based feature ranking for
semi-supervised classification. In: KRALJ NOVAK, Petra (ed.), ŠMUC, Tomislav (ed.),
DŽEROSKI, Sašo (ed.).
Discovery Science : 22nd International Conference, DS 2019, Split, Croatia, October
28-30, 2019, : proceedings. Cham: Springer, 2019. Lncs 11828, str. 290-303. Lecture notes in computer science,
Lecture notes in artificial intelligence, 11828. ISBN 978-3-030-33778-0, ISBN 978-3-030-33778-0.
ISSN 0302-9743.
https://link.springer.com/content/pdf/10.1007%2F978-3-030-33778-0_23.pdf. [COBISS.SI-ID
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275.
STEVANOSKI, Bozhidar, KOCEV, Dragi, OSOJNIK, Aljaž, DIMITROVSKI, Ivica, DŽEROSKI,
Sašo. Predicting thermal power consumption of the Mars express satellite with data
stream mining. In: KRALJ NOVAK, Petra (ed.), ŠMUC, Tomislav (ed.), DŽEROSKI, Sašo
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October 1998. Ljubljana: Institut Jožef Stefan, 1998. Str. 43-48. ISBN 961-6303-00-7.
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490.
DŽEROSKI, Sašo, JACOBS, Nico, MOLINA, Martin, MOURE, Carlos. ILP experiments in detecting
traffic problems. In: NÉDELLEC, Claire (ed.), ROUVEIROL, Céline (ed.).
Machine learning: ECML-98 : proceedings. 10th European Conference on Machine Learning, Chemnitz, Germany, April 21-23, 1998.
Berlin [etc.]: Springer, 1998. Str. 61-66. Lecture notes in computer science, 1398,
Lecture notes in artificial intelligence. ISBN 3-540-64417-2. ISSN 0302-9743. [COBISS.SI-ID
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491.
LAER, Wim Van, RAEDT, Luc De, DŽEROSKI, Sašo. On multi-class problem and discretization
in inductive logic programming. In: RAŚ, Zbigniew W. (ed.), SKOWRON, Andrzej (ed.).
Foundations of intelligent systems : 10th international symposium, ISMIS'97, Charlotte,
North Carolina, USA, October 15-18, 1997 : proceedings. International Symposium on Methodologies for Intelligent Systems. Berlin [etc.]:
Springer, 1997. Str. 277-286. Lecture notes in computer science, 1325, Lecture notes
in artificial intelligence. ISBN 3-540-63614-5. ISSN 0302-9743. [COBISS.SI-ID
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492.
DIMOPOULOS, Yannis (artist), DŽEROSKI, Sašo, KAKAS, Antonis. Integrating explanatory
and descriptive learning in ILP. In: MELLISH, Chris S. (ed.).
IJCAI-97 : proceedings of the fiftheenth International joint conference on artificial
intelligence, Nagiya, Japan August 23-29, 1997. Volume 2. [S.l.]: International joint conference on artificial intelligence, 1997. Str. 900-906.
ISBN 1-55860-480-4. [COBISS.SI-ID
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493.
DŽEROSKI, Sašo, ERJAVEC, Tomaž. Induction of Slovene nominal paradigms. In: LAVRAČ,
Nada (ed.), DŽEROSKI, Sašo (ed.).
Inductive logic programming : proceedings. 7th International Workshop, ILP-97, Prague, Czech Republic, September 1997. Berlin
[etc.]: Springer, 1997. Str. 141-148. Lecture notes in computer science, Lecture notes
in artificial inteligence, 1297. ISBN 3-540-63514-9. ISSN 0302-9743. [COBISS.SI-ID
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494.
TODOROVSKI, Ljupčo, DŽEROSKI, Sašo. Declarative bias in equation discovery. In: FISHER,
Douglas H. (ed.).
Machine Learning : proceedings of the Fourteenth International Conference (ICML'97),
Nashville, Tennessee, July 8-12, 1997. San Francisco: Morgan Kaufmann. 1997, str. 376-384. ISBN 1-55860-486-3. [COBISS.SI-ID
12766503]
495.
ZUPAN, Blaž, DŽEROSKI, Sašo. Acquiring and validating background knowledge for machine
learning using function decomposition. In: KERAVNOU, Elpida (ed.).
Proceedings : Artificial intelligence in medicine. 6th Conference on Artificial Intelligence in Medicine Europe, AIME'97, Grenoble,
France, March 1997. Berlin [etc.]: Springer, 1997. Str. 86-97. Lecture notes in computer
science, 1211, Lecture notes in artificial intelligence. ISBN 3-540-62709-X. ISSN
0302-9743. [COBISS.SI-ID
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496.
DŽEROSKI, Sašo, POTAMIAS, Giorgos, MOUSTAKIS, Vassilis, CHARISSIS, Giorgos. Automated
revision of expert rules for treating acute abdominal pain in children. In: KERAVNOU,
Elpida (ed.).
Proceedings : Artificial intelligence in medicine. 6th Conference on Artificial Intelligence in Medicine Europe, AIME'97, Grenoble,
France, March 1997. Berlin [etc.]: Springer, 1997. Str. 98-109. Lecture notes in computer
science, 1211, Lecture notes in artificial intelligence. ISBN 3-540-62709-X. ISSN
0302-9743. [COBISS.SI-ID
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497.
KONTIĆ, Branko, DŽEROSKI, Sašo. Perspective of machine learning in epidemiological
studies. In: CIZNAR, Ivan (ed.).
Proceedings of the International Symposium on Environmental Epidemiology in Central
and Eastern Europe: critical issues for improving health : September 24-27, 1997,
Smolenice, Slovak Republic. [S.l.]: International Society for Environmental Epidemiology, 1997. Str. 27. [COBISS.SI-ID
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498.
DŽEROSKI, Sašo, ERJAVEC, Tomaž. Learning Slovene declensions with FOIDL. [COBISS.SI-ID
12574759]
499.
DŽEROSKI, Sašo, GRBOVIĆ, Jasna, WALLEY, William J., DEMŠAR, Damjan. A computer based
reappraisal of bioindicator zone preferences and weights within the Saprobic Index
using data from river quality surveys in Slovenia. [COBISS.SI-ID
3854375]
500.
KOMPARE, Boris, DŽEROSKI, Sašo, KARALIČ, Aram. Identification of the Lake of Bled
ecosystem with the artificial intelligence tolls M5 and FORS. [COBISS.SI-ID
3854631]
501.
KOMPARE, Boris, DŽEROSKI, Sašo, KRIŽMAN, Viljem. Modelling the growth of algae in
the Lagoon of Venice with the artificial intelligence tool GoldHorn. [COBISS.SI-ID
3854887]
502.
TODOROVSKI, Ljupčo, DŽEROSKI, Sašo, KOMPARE, Boris. Automated modeling of phytoplankton
growth using ecological domain knowledge. In: RAJAR, Rudolf (ed.), BREBBIA, C. A.
(ed.).
Water Pollution IV : Modelling, Measuring and Prediction. Fourth International Conference on Water Pollution, Bled, Slovenia, June 1997. Southampton;
Boston: Computational Mechanics Publications, cop. 1997. Str. 533-542, ilustr. ISBN
1-85312-470-2. [COBISS.SI-ID
203873]
503.
KOMPARE, Boris, STEINMAN, Franci, CERAR, Uroš, DŽEROSKI, Sašo. Napovedovanje padavinskega
odtoka iz povodja s pomočjo analize podatkov z metodami strojnega učenja iz orodjarne
umetne inteligence. In: MIKOŠ, Matjaž (ed.).
Zbornik referatov 16. Goljevščkovega spominskega dne, 13. marec 1997 = Proceedings
of the 16th Goljevšček Memorial Day. Ljubljana: Hidrotehnična smer FGG, 1997. Str. 79-94, ilustr. Acta hydrotechnica,
letn. 15, št. 17. ISBN 961-6167-16-2. ISSN 0352-3551. [COBISS.SI-ID
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504.
DŽEROSKI, Sašo, DEMŠAR, Damjan, GRBOVIĆ, Jasna, WALLEY, William J. Learning to infer
chemical parameters of river water quality from bioindicator data. In: ZAJC, Baldomir
(ed.).
Zbornik šeste Elektrotehniške in računalniške konference ERK '97, 25. - 27. september
1997, Portorož, Slovenija. Ljubljana: IEEE Region 8, Slovenska sekcija IEEE, 1997. Str. 129-132. ISBN 961-6062-11-5,
ISBN 961-6062-12-3. [COBISS.SI-ID
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505.
WALLEY, W. J., DŽEROSKI, Sašo. Biological monitoring : a comparison between Bayesian,
neural and machine learning methods of water quality classification. In: DENZER, Ralf
(ed.), SCHIMAK, Gerald (ed.), RUSSELL, David (ed.).
Environmental Software Systems : [proceedings of the International Symposium on Environmental
Software Systems, 1995, held at Penn State Great Valley, Malvern, Usa]. London [etc.]: Chapman & Hall, 1996. Str. 229-240. ISBN 0-412-73730-2. [COBISS.SI-ID
12767271]
506.
DŽEROSKI, Sašo, SCHULZE-KREMER, S., HEIDTKE, K., SIEMS, K., WETTSCHERECK, D. Applying
ILP to diterpene structure elucidation from 13C NMR spectra. In: MUGGLETON, Stephen
(ed.).
Inductive Logic Programming : proceedings. 6th International Workshop, ILP-96, Stockholm, Sweden, August 1996, Selected papers.
Berlin... [etc.]: Springer, cop. 1997. Str. 41-54. Lecture notes in computer science,
Lecture notes in artificial inteligence, 1314. ISBN 3-540-63494-0. ISSN 0302-9743.
[COBISS.SI-ID
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507.
LAVRAČ, Nada, GAMBERGER, Dragan, DŽEROSKI, Sašo. Noise elimination applied in early
diagnosis of rheumatic diseases. In: LAVRAČ, Nada (ed.).
Inteligent data analysis in medicine and pharmacology. 12th European Conference on Artificial Intelligence and 1st International Workshop
on IDAMAP, Budapest, 11-16 August, 1996. Budapest: ECCAI, 1996. Str. 56-63. [COBISS.SI-ID
2729238]
508.
GAMBERGER, Dragan, LAVRAČ, Nada, DŽEROSKI, Sašo. Noise elimination in inductive concept
learning : a case study in medical diagnosis. In: ARIKAWA, Setsuo (ed.).
Proceedings : algorithmic learning theory. 7th International Workshop, ALT '96, Sydney, Australia, October 1996. Berlin [etc.]:
Springer, 1996. Str. 199-212. Lecture notes in computer science, 1160, Lecture notes
in artificial intelligence. ISBN 3-540-61863-5. ISSN 0302-9743. [COBISS.SI-ID
2672662]
509.
DŽEROSKI, Sašo. Learing first-order clausal theories in the presence of noise. In:
AAMODT, A. (ed.), KOMOROWSKI, J. (ed.).
Fifth Scandinavian conference on artificial intelligence, SCAI-95 : Trondheim, Norway,
May 1995. Amsterdam [etc.]: IOS Press, 1995. Str. 51-60. Frontiers in artificial intelligence
and applications. ISSN 0922-6389. [COBISS.SI-ID
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510.
KRIŽMAN, Viljem, DŽEROSKI, Sašo. Discovering dynamics from measured data. In: LAVRAČ,
Nada (ed.), WROBEL, Stefan (ed.).
Machine learning: ECML-95 : proceedings. 8th European Conference on machine learning, Heraclion, Crete, Greece, April 25-27,
1995. Berlin [etc.]: Springer-Verlag, 1995. Str. 169-174. Lecture notes in computer
science, Lecture notes in artificial intelligence, 912. ISBN 3-540-59286-5. [COBISS.SI-ID
13527079]
511.
DŽEROSKI, Sašo, TODOROVSKI, Ljupčo, URBANČIČ, Tanja. Handling real numbers in ILP
: a step towards better behavioural clones. In: LAVRAČ, Nada (ed.), WROBEL, Stefan
(ed.).
Machine learning: ECML-95 : proceedings. 8th European Conference on machine learning, Heraclion, Crete, Greece, April 25-27,
1995. Berlin [etc.]: Springer-Verlag, 1995. Str. 283-286. Lecture notes in computer
science, Lecture notes in artificial intelligence, 912. ISBN 3-540-59286-5. [COBISS.SI-ID
11862567]
512.
LAVRAČ, Nada, GAMBERGER, Dragan, DŽEROSKI, Sašo. An approach to dimensionality reduction
in learning from deductive databases. In: DE RAEDT, Luc (ed.).
Proceedings of the 5th international workshop on inductive logic programming, September
1995, Leuven. [s. l.]: [s. n.], 1995. Str. 337-354. [COBISS.SI-ID
2717206]
513.
KOMPARE, Boris, DŽEROSKI, Sašo. Getting more out of data : automated modelling of
algal growth with machine learning. In:
Proceedings of the International symposium on coastal ocean space utilisation : COSU
'95 : May 30 - June 2, 1995, Yokohama, Japan. S. l.: s. n., [1995]. Str. 209-220. [COBISS.SI-ID
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514.
DŽEROSKI, Sašo, GRBOVIĆ, Jasna. Knowledge discovery in a water quality database. In:
FAYYAD, Usama M. (ed.), UTHURUSAMY, Ramasamy (ed.).
Proceedings. The First International Conference on Knowledge Discovery and Data Mining, [August
20-21, 1995, Montréal, Québec, Canada]. Menlo Park: AAAI Press, cop. 1995. Str. 81-86.
ISBN 0-929280-82-2. [COBISS.SI-ID
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515.
DŽEROSKI, Sašo, DEPHASE, L., RUCK, B. M., WALLEY, W. J. Classification of river water
quality using machine learning. In: ZANNETTI, P. (ed.).
Computer techniques in environmental studies V : [fifth International conference on
the development and application of computer techniques to environmental studies] :
[Environsoft/94]. vol. 1, pollution modelling. Southampton; Boston: Computational Mechanics Publications, [1994]. Str. 129-137.
ISBN 1-85312-370-6, ISBN 1-56252-294-9, ISBN 1-85312-272-6, ISBN 1-56252-196-9. [COBISS.SI-ID
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516.
KOMPARE, Boris, DŽEROSKI, Sašo. Two artificial intelligence methods for knowledge
synthesis from environmental data. In: ZANNETTI, P. (ed.).
Computer techniques in environmental studies V : [fifth International conference on
the development and application of computer techniques to environmental studies] :
[Environsoft/94]. vol. 2, environmental systems. Southampton; Boston: Computational Mechanics Publications, [1994]. Str. 265-272,
ilustr. ISBN 1-85312-371-4, ISBN 1-56252-295-7, ISBN 1-85312-272-6, ISBN 1-56252-196-9.
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517.
DŽEROSKI, Sašo, PETROVSKI, I. Discovering dynamics with genetic programming. In: BERGADANO,
Francesco.
Machine learning: ECML-94 : proceedings. Berlin [etc.]: Springer-Verlag, 1994. Str. 347-350. Lecture notes in computer science,
Lecture notes in computer intelligence, 784. ISBN 3-540-57868-4, ISBN 0-387-57868-4.
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518.
DŽEROSKI, Sašo, GRBOVIĆ, Jasna, LIČAN-MILOŠEVIČ, Doris. Analiza podatkov o kakovosti
voda z avtomatskim učenjem. In: SOLINA, Franc (ed.), ZAJC, Baldomir (ed.).
Zbornik tretje Elektrotehniške in računalniške konference ERK '94, 26. - 28. september
1994, Portorož, Slovenija. Ljubljana: Slovenska sekcija IEEE, 1994. Str. 175-178. ISBN 961-6062-03-4, ISBN
961-6062-04-2. [COBISS.SI-ID
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519.
DŽEROSKI, Sašo, TODOROVSKI, Ljupčo. Handling real numbers in inductive logic programming.
In: SOLINA, Franc (ed.), ZAJC, Baldomir (ed.).
Zbornik tretje Elektrotehniške in računalniške konference ERK '94, 26. - 28. september
1994, Portorož, Slovenija. Ljubljana: Slovenska sekcija IEEE, 1994. Str. 143-146. ISBN 961-6062-03-4, ISBN
961-6062-04-2. [COBISS.SI-ID
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520.
DŽEROSKI, Sašo, TODOROVSKI, Ljupčo. Discovering dynamics. In:
Machine learning : proceedings of the Tenth International Conference, University of
Massachusetts, Amherst, June 27-29, 1993. San Mateo (Calif.): Morgan Kaufmann, cop. 1993. Str. 97-103. ISBN 1-55860-307-7.
[COBISS.SI-ID
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521.
DŽEROSKI, Sašo, TODOROVSKI, Ljupčo. Discovering dynamics : form inductive logic programming
to machine discovery. In: PIATETSKY-SHAPIRO, Gregory (ed.).
Proceedings of AAAI-93 Workshop on Knowledge Discovery in Databases : Washington,
D.C., July 11-12, 1993. Washington: American Association for Artificial Intelligence, 1993. Str. 125-137.
[COBISS.SI-ID
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522.
DE RAEDT, Luc, LAVRAČ, Nada, DŽEROSKI, Sašo. Multiple predicate learning. In: MUGGLETON,
Stephen (ed.).
Proceedings of the Third International Workshop on Inductive Logic Programming [being
also] ILP'93 : April 1-3, 1993, Bled Slovenija. Ljubljana: J. Stefan Institute, 1993. Str. 221-240. [COBISS.SI-ID
2718230]
523.
DE RAEDT, Luc, LAVRAČ, Nada, DŽEROSKI, Sašo. Multiple predicate learning. In: BAJCSY,
Ruzena (ed.).
Proceedings of the Thirteenth international joint conference on artificial intelligence,
Chambéry, France, August 28 - September 3, 1993. San Mateo: Morgan Kaufmann Publishers, 1993. Str. 2/1037-1042. [IJCAI]. ISBN 1-55860-300-X.
ISSN 1045-0823. [COBISS.SI-ID
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524.
DŽEROSKI, Sašo. Handling imperfect data in inductive logic programming. In: SANDEWALL,
Erik (ed.), JANSSON, Carl Gustaf (ed.).
Scandinavian Conference on Artificial Intelligence-93 : proceedings of the Fourth
Scandinavian Conference on Artificial Intelligence Electrum, Stockholm, Sweden, May
4-7, 1993. Amsterdam [etc.]: IOS Press, 1993. Str. 111-125. Frontiers in artificial intelligence
and applications. ISBN 90-5199-134-7. ISSN 0922-6389. [COBISS.SI-ID
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525.
DŽEROSKI, Sašo, TODOROVSKI, Ljupčo. Modeliranje dinamičnih sistemov z avtomatskim
odkrivanjem zakonitosti. In: SOLINA, Franc (ed.), ZAJC, Baldomir (ed.).
Zbornik druge Elektrotehniške in računalniške konference ERK '93, 27. - 29. september
1993, Portorož, Slovenija. Ljubljana: Slovenska sekcija IEEE, 1993. Zv. b, str. 209-212, ilustr. ISBN 961-6062-00-X,
ISBN 961-6062-01-8. [COBISS.SI-ID
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526.
DŽEROSKI, Sašo, LIČAN, Doris. Modeliranje rasti alg v Beneški laguni z regresijskimi
drevesi. In: SOLINA, Franc (ed.), ZAJC, Baldomir (ed.).
Zbornik druge Elektrotehniške in računalniške konference ERK '93, 27. - 29. september
1993, Portorož, Slovenija. Ljubljana: Slovenska sekcija IEEE, 1993. Zv. b, str. 205-208, ilustr. ISBN 961-6062-00-X,
ISBN 961-6062-01-8. [COBISS.SI-ID
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527.
LAVRAČ, Nada, CESTNIK, Bojan, DŽEROSKI, Sašo. Use of heuristics in empirical inductive
logic programming. In:
Proceedings. International workshop on Inductive Logic Programming, (ILP92), June 6-7, 1992,
Tokyo, Japan. [s. l.]: [s. n.], 1992. [COBISS.SI-ID
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528.
LAVRAČ, Nada, CESTNIK, Bojan, DŽEROSKI, Sašo. Use of heuristics in empirical inductive
logic programming. In:
Proceedings. International workshop on Inductive Logic Programming, (ILP92), June 6-7, 1992,
Tokyo, Japan. [s. l.]: [s. n.], 1992. [17] str. [COBISS.SI-ID
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529.
LAVRAČ, Nada, DŽEROSKI, Sašo, GROBELNIK, Marko. Learning nonrecursive definitions
of relations with LINUS. In: KODRATOFF, Yves.
Machine learning - EWSL-91 : European working session on learning, Porto, Portugal,
March 6-8, 1991 : proceedings. Berlin [etc.]: Springer-Verlag, 1991. Str. 265-281. Lecture notes in computer science,
Lecture notes in artificial intelligence, 482. ISBN 3-540-53816-X, ISBN 0-387-53816-X.
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530.
DŽEROSKI, Sašo, LAVRAČ, Nada. Learning relations from noisy examples : an empirical
comparison of LINUS and FOIL. In: BIRNBAUM, Lawrence A. (ed.), COLLINS, Gregg C. (ed.).
Machine Learning : Proceedings of the Eighth International Conference, Evanston, Illinois,
June, 1991. San Mateo: Morgan Kaufmann Publishers, 1991. Str. 399-402. ISBN 1-55860-200-3. [COBISS.SI-ID
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531.
LAVRAČ, Nada, DŽEROSKI, Sašo, PIRNAT, Vladimir, KRIŽMAN, Viljem. Learning rules for
early diagnosis of rheumatic diseases. In:
Scandinavian conference on artificial intelligence - 91 : proceedings of the SCAI
'91, Roskilde, Denmark, 21-24 May 1991. Amsterdam; Washington; Tokyo: IOS Press, 1991. Str. 138-149. Frontiers in artificial
intelligence and applications. ISSN 0922-6389. [COBISS.SI-ID
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532.
DŽEROSKI, Sašo, DOLŠAK, B. Primerjava algoritmov za avtomatsko učenje relacij na problemu
načrtovanja mrež končnih elementov. In:
Zbornik radova XXXV Jugoslovenske konferencije o elektronici, telekomunikacijama,
automatizaciji i nuklearnoj tehnici, Ohrid, 3-7.06.1991. Sveska/Part IX = Proceedings
of the XXXVth conference of electronics, telecommunications, automation and nuclear
engineering, Ohrid, 3-7.06.1991. Sveska/Part IX. Beograd: Jugoslovenski savez za elektroniku, telekomunikacije, automatizaciju i
nuklearnu tehniku, 1991. Str. 313-320. ISBN 86-80509-03-5. [COBISS.SI-ID
5493031]
1.09 Published professional conference contribution
533.
MAKSIMOVIĆ, Daniela, KOBLER, Andrej, DŽEROSKI, Sašo. A qualitative decision support
system for evaluating forest models. In: MEDVED, Mirko (ed.).
Small scale forestry in a changing world : opportunities and challenges and the role
of extension and technology transfer : proceedings of the conference. Ljubljana: Slovenian Forestry Institute: Slovenia Forest Service, 2010. Str. 717-725,
ilustr. ISBN 978-961-6425-53-7. [COBISS.SI-ID
3013286]
534.
SLAVKOV, Ivica, DŽEROSKI, Sašo, PETERLIN, Borut, LOVREČIĆ, Luca. Analysis of gene
expression profiles for Huntington's disease patients with predictive clustering trees.
In:
Zdravje na informacijski poti : zbornik kongresa Slovenskega društva za medicinsko
informatiko, Zreče, 9.-11. april 2006. Kongres Slovenskega društva za medicinsko informatiko, Zreče, 9.-11. april 2006.
Ljubljana: Slovensko društvo za medicinsko informatiko, 2006. Str. 164-175. ISBN 961-90394-2-4.
[COBISS.SI-ID
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535.
ATANASOVA, Nataša, KOMPARE, Boris, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo, REMEC-REKAR,
Špela. Modelna knjižnica in avtomatska simulacija jezerskih ekosistemov. In:
Zbornik referatov. 16. Mišičev vodarski dan 2005, Maribor, 9. december. Maribor: Vodnogospodarski biro,
2005. Str. 206-215, graf. prikazi. Mišičev vodarski dan, 16. ISSN 1318-2226. [COBISS.SI-ID
2960737]
536.
HRISTOVSKI, Dimitar, STARE, Janez, PETERLIN, Borut, DŽEROSKI, Sašo. Sistem za podporo
odkrivanju biomedicinskega znanja = Biomedical discovery support system. In:
Seminar Informatika v zdravstvu, Cankarjev dom, 25. oktober 2001 : delovno gradivo. [Ljubljana: s. n.], 2001. [str. 1-5]. [COBISS.SI-ID
13940185]
1.10 Published scientific conference contribution abstract (invited lecture)
537.
DŽEROSKI, Sašo. Mining big and complex data. In: KOTEVSKI, Miroslav (ed.).
ETAI 2018 : zbornik na apstrakti na trudovi = ETAI 2018 : proceedings of abstracts. Skopje: Fakultet za elektronika i informaciski tehnologii: = Faculty of Electrical
Engineering and Information Technology, 2018. Str. 18. ETAI Megunarodna Konferencija
(USB). ISBN 978-9989-630-89-7. ISSN 2545-4889. [COBISS.SI-ID
31719719]
538.
DŽEROSKI, Sašo. Mining big data and complex data. In: CECI, Michelangelo (ed.).
Foundations of Intelligent Systems : 24th International Symposium, ISMIS 2018, Limassol,
Cyprus, October 29-31, 2018 : proceedings. Cham: Springer, 2018. Str. xiii. Lecture notes in artificial intelligence, LNAI
11177. ISBN 978-3-030-01850-4, ISBN 978-3-030-01851-1. ISSN 0302-9743. [COBISS.SI-ID
31941927]
539.
DŽEROSKI, Sašo. Mining big and complex data. In: LONČARIĆ, Sven (ed.), ŠMUC, Tomislav
(ed.).
Abstracts book. Second International Workshop on Data Science, IWDS 2017, 30 November 2017, Zagreb.
[Zagreb]: Centre of Research Excellence for Data Science and Cooperative Systems,
2017. Str. 12. [COBISS.SI-ID
30978855]
541.
DŽEROSKI, Sašo. Learning from massive, incompletely annotated & structured data. In:
EGC 2016. 16ème Conférence Internationale Francophone sur lʼExtraction et la Gestion des Connaissances,
18-22 Janvier 2016, Reims, France. Reims: Institut Universitaire Technologique, 2016.
Str. 7.
https://cremilleux.users.greyc.fr/tmp/actesEGC16.pdf. [COBISS.SI-ID
29200935]
542.
DŽEROSKI, Sašo. Learning from complex data : methods and biological applications.
In:
IEEE BIBE 2015. 15th IEEE International Conference on BioInformaticsa nd BioEngineering, November
02-04, 2015, Belgrade, Serbia. [S. l.: s. n.], 2015. Str. 34. [COBISS.SI-ID
29232935]
543.
DŽEROSKI, Sašo. The art of science : keep it simple; make connections. In: HOLLMÉN,
Jaakko (ed.), PAPAPETROU, Panagiotis (ed.).
Proceedings of the ECMLPKDD 2015, [European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Database], September 7- 11, 2015, Porto, Portugal. Aalto: Aalto University, 2015. Str. 9-10. Aalto University publication series, 12/2015.
ISBN 978-952-60-6443-7. ISSN 1799-490X.
https://aaltodoc.aalto.fi/bitstream/handle/123456789/18224/isbn9789526064437.pdf?sequence=1&isAllowed=y. [COBISS.SI-ID
29382183]
544.
KOCEV, Dragi, KORBEE, Cornelis, HAKS, Marielle, OTTENHOFF, Tom, DŽEROSKI, Sašo. Finding
drug targets for Tuberculosis and Salmonella by analyzing data from compounds screens
and public biological databases. In: AČIMOVIČ, Jure (ed.), PROSENC ZMRZLJAK, Uršula
(ed.), JUVAN, Peter (ed.).
Book of abstracts. Casym Training Event Systems Medicine of Multifactorial Disorders Workshop & Tutorial
and 8th CFGBC Symposium, Ljubljana, 12-15 June 2013. Ljubljana: Faculty of Medicine,
2013. Str. 4. ISBN 978-961-267-060-3. [COBISS.SI-ID
26817063]
545.
LEVATIĆ, Jurica, RAMŠAK, Živa, STARE, Tjaša, KOCEV, Dragi, GRUDEN, Kristina, DŽEROSKI,
Sašo. Network reconstruction and gene function prediction from time-series gene expression
data about potato defence response. In: AČIMOVIČ, Jure (ed.), PROSENC ZMRZLJAK, Uršula
(ed.), JUVAN, Peter (ed.).
Book of abstracts. Casym Training Event Systems Medicine of Multifactorial Disorders Workshop & Tutorial
and 8th CFGBC Symposium, Ljubljana, 12-15 June 2013. Ljubljana: Faculty of Medicine,
2013. Str. 3. ISBN 978-961-267-060-3. [COBISS.SI-ID
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DŽEROSKI, Sašo. Equation discovery for systems biology. In:
Pre workshop proceedings. LDSSB'12, ECML-PKDD 2012, Workshop on Learning and Discovery in Symbolic Systems
Biology, in collaboration with the European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Databases, September 24, 2012 Bristol, UK.
[S. l.: s. n.], 2012. Str. 1.
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SCHWARTZ, Christophe, CHENOT, Elodie-Denise, CORTET, Jérôme, DEBELJAK, Marko, DŽEROSKI,
Sašo, DOUAY, Francis, DUMAT, Camille, KOCEV, Dragi, PERNIN, Céline, POURRUT, Bertrand.
Which strategy for a survey of garden soils?. In: MAGGY, Aulon (ed.).
The 6th International Conference on Soils of Urban, Industrial, Traffic, Mining and
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DŽEROSKI, Sašo. Machine leraning and systems biology. In: JANEŽIČ, Sandra (ed.), et
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Abstract book. 9th Congress of the Slovenian Biochemical Society [also] 5th Congress of the Slovenian
Microbiological Society with International Participation [also] 3rd CEFORM (Central
European Forum for Microbiology), Maribor, 12th - 15th October 2011. Maribor: Zavod
za zdravstveno varstvo, 2011. Str. 108. ISBN 978-961-90895-5-2. [COBISS.SI-ID
25547559]
549.
DŽEROSKI, Sašo. Estimating the risk of fire outbreaks in the natural environment by
using data mining. In:
Advanced design toward low-carbon science and industry : proceedings. Joint Meeting of the 14th SANKEN International Symposium 2011 and the 9th SANKEN
Nanotechnology Symposium 2011, January 25-26, 2011, Otsu, Japan. [S. l.: s. n.], 2011.
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DŽEROSKI, Sašo. An ontology of data mining. In: APPICE, Annalisa (ed.).
Proceedings of the Workshop on Mining Complex Patterns. 12th International Conference, 15-17 September 2011, Palermo, Italy. [S. l.]: Italian
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DŽEROSKI, Sašo. Machine learning for systems biology. In:
Program and Abstracts : System Biology: From Molecules to Function. FEBS & System X Advanced Lecture Course, Innsbruck, 26 February - 4 March 2011.
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552.
NOVAK, Rok, KOCMAN, David, ROBINSON, Johanna A., KANDUČ, Tjaša, SARIGIANNIS, Dimosthenis,
DŽEROSKI, Sašo, HORVAT, Milena. Improving exposure assessment by using data from low-cost
wearable airborne. In:
ISES 2021 virtual experience, August 30 - September 2, 2021. [S. l.]: International Society of Exposure Science, 2021.
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NOVAK, Rok, KOCMAN, David, ROBINSON, Johanna A., KANDUČ, Tjaša, SARIGIANNIS, Denis,
DŽEROSKI, Sašo, HORVAT, Milena. Complex activity recognition usingclassification methods
onlow-cost portable ambient and activity sensor data. In: NAGODE, Klara (ed.), et
al.
Throughout knowledge towards a green new world : 13. Študentska konferenca Mednarodne
podiplomske šole Jožefa Stefana in 15. dan mladih raziskovalcev (Konferenca KMBO),
27-28 maj 2021, Ljubljana, Slovenija : knjiga povzetkov = 13th Jožef Stefan International
Postgraduate School Students' Conference and 15th Young Researchers' Day of Chemistry,
material science, biochemistry and environment, (CMBE day), 27th-28th May 2021, online
: book of abstracts. 13. študentska konferenca Mednarodne podiplomske šole Jožefa Stefana in 15. dan
mladih raziskovalcev (Konferenca KMBO), 27-28 maj 2021, Ljubljana, Slovenija = 13th
Jožef Stefan International Postgraduate School Students' Conference and 15th Young
Researchers' Day, 27th-28th May 2021. Ljubljana: Mednarodna podiplomska šola Jožefa
Stefana: = Jožef Stefan International Postgraduate School: Inštitut Jožef Stefan:
= Jožef Stefan Institute, 2021. Str. 22-23.
http://ipssc.mps.si/bookOfAbstracts/Book_of_abstracts_v04.pdf. [COBISS.SI-ID
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RADINJA, Matej, ŠKERJANEC, Mateja, DŽEROSKI, Sašo, TODOROVSKI, Ljupčo, ATANASOVA,
Nataša. Automatization of urban drainage modelling by hybridising domain knowledge
and equation discovery. In:
Book of abstracts. Brusseles: International Environmental Modelling and Software Society, 2020. 1 spletni
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POPOV, Stefan, KAVKLER, Katja, DŽEROSKI, Sašo. Analysis of data on the presence of
Mould in the Celje ceiling paintings. In: JOVIČEVIĆ KLUG, Patricia (ed.), et al.
Knjiga povzetkov = Book of abstracts. 12. študentska konferenca Mednarodne podiplomske šole Jožefa Stefana in 14. dan
mladih raziskovalcev (Konferenca KMBO) = 12th Jožef Stefan International Postgraduate
School Students' Conference and 14th Young Researchers' Day, 15th May 2020. Ljubljana:
Mednarodna podiplomska šola Jožefa Stefana: = Jožef Stefan International Postgraduate
School: Inštitut Jožef Stefan: = Jožef Stefan Institute, 2020. Str. 32.
http://ipssc.mps.si/BookOfAbstracts.pdf. [COBISS.SI-ID
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557.
LJONCHEVA, Milka, HEATH, Ester, DŽEROSKI, Sašo, KOSJEK, Tina, KOS, Janko, JEWETT,
Anahid. GC-MS analysis of contaminants of emerging concern. In: JOVIČEVIĆ KLUG, Patricia
(ed.), et al.
Knjiga povzetkov = Book of abstracts. 12. študentska konferenca Mednarodne podiplomske šole Jožefa Stefana in 14. dan
mladih raziskovalcev (Konferenca KMBO) = 12th Jožef Stefan International Postgraduate
School Students' Conference and 14th Young Researchers' Day, 15th May 2020. Ljubljana:
Mednarodna podiplomska šola Jožefa Stefana: = Jožef Stefan International Postgraduate
School: Inštitut Jožef Stefan: = Jožef Stefan Institute, 2020. Str. 22.
http://ipssc.mps.si/BookOfAbstracts.pdf. [COBISS.SI-ID
20857347]
558.
KIKAJ, Dafina, DŽEROSKI, Sašo, VAUPOTIČ, Janja, CHAMBERS, Scott D. Radon-based atmospheric
mixing classification : identifying uncertainties by application of machine learning
methods. In: KOVÁCS, Tibor (ed.), TÓTH-BODROG, Edit (ed.), BÁTOR, Gergő (ed.).
VII. Terrestrial Radioisotopes in Environment International Conference on Environmental
Protection. [S. l.]: Social Organizatin for Radioecological Cleanliness, 2020. ISBN 978-615-81632-0-0.
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27883523]
559.
VERDEL, Nina, TANEVSKI, Jovan, DŽEROSKI, Sašo, MAJARON, Boris. Hybrid technique for
characterization of human skin by combining machine learning and inverse Monte Carlo
approach. In: PUNGERČIČ, Anže (ed.), et al.
Zbornik povzetkov, predstavljenih na srečanju v Gozdu Martuljku, 30. 5. 2019. 16. Slovensko srečanje o uporabi fizike. 1. izd. Ljubljana: Inštitut "Jožef Stefan",
2020. Str. 19. ISBN 978-961-264-181-8.
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560.
PETKOVIĆ, Matej, LUCAS, Luke, KOCEV, Dragi, DŽEROSKI, Sašo, BOUMGHAR, Redouane, SIMIDJIEVSKI,
Nikola. Quantifying the effects of gyroless flying of the Mars Espress Spacecraft
with machine learning. In:
Book of abstracts. OSE5, 5th Optimization in Space Engineering Workshop [and UTOPIE Global Virtual
Workshop], Ljubljana, 21-22 November 2019. [S. l.: S. n.], 2019. Str. 7. [COBISS.SI-ID
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VIDAK, Marko, JOVCHEVSKA, Ivana, ŠAMEC, Neja, ZOTTEL, Alja, LIOVIĆ, Mirjana, ROZMAN,
Damjana, DŽEROSKI, Sašo, JUVAN, Peter, KOMEL, Radovan. Meta-analysis and experimental
validation identified FREM2 and SPRY1 as new glioblastoma marker candidates. In:
EASyM Europe 2018 : abstracts. New Rochelle (NY): Mary Ann Liebert, 2019. Str. a-13. Systems medicine, #vol. #2,
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STEPIŠNIK, Tomaž, KOCEV, Dragi, DŽEROSKI, Sašo. Discovering new protein inhibitors.
In:
SMiLe'18, Spring Workshop on Mining and Learning, 7-9 March 2018, Titisee, [Germany]. [S. l.: s. n.], 2018. [COBISS.SI-ID
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PETKOVIĆ, Matej, KOCEV, Dragi, DŽEROSKI, Sašo. Feature ranking for multi-target regression
with Relief. In:
SMiLe'18, Spring Workshop on Mining and Learning, 7-9 March 2018, Titisee, [Germany]. [S. l.: s. n.], 2018. [COBISS.SI-ID
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DŽEROSKI, Sašo. Machine learning for systems science. In:
SMiLe'18, Spring Workshop on Mining and Learning, 7-9 March 2018, Titisee, [Germany]. [S. l.: s. n.], 2018. [COBISS.SI-ID
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JEVŠENAK, Jernej, LEVANIČ, Tom, DŽEROSKI, Sašo. Comparison of linear and nonlinear
machine learning methods for the analysis of statistical relationships between tree-rings
and climate. In: HARVEY, Jill (ed.).
TRACE 2018 : tree rings in archaeology, climatology and ecology, 24-27 April 2018,
Greifswald, Germany : book of abstract. Greifswald: [s. n.], 2018. Str. 31. [COBISS.SI-ID
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SIMIDJIEVSKI, Nikola, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo, KOCIJAN, Juš. Nonlinear
system identification with equation discovery. In:
Workshop on Nonlinear System Identification Benchmarks, April 11-13, 2018, Liège,
Belgium. [S. l.: s. n.], 2018. Str. 24.
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567.
KOSTOVSKA, Ana, PANOV, Panče, MOSER, Maximilian, DŽEROSKI, Sašo. Blood pressure prediction
using data mining algorithms. In: DEŽMAN, Miha (ed.), et al.
Zbornik = Proceedings. 10. študentska konferenca Mednarodne podiplomske šole Jožefa Stefana in 12. dneva
mladih raziskovalcev (Konferenca KMBO), 10. in 11. maj 2018, Ljubljana, Slovenija
= 10th Jožef Stefan International Postgraduate School Students' Conference and 12th
Young Researchers' Day 10th and 11th May 2018, Piran, Slovenia. Ljubljana: Mednarodna
podiplomska šola Jožefa Stefana: = Jožef Stefan International Postgraduate School:
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568.
TOLOVSKI, Ilin, ŽENKO, Bernard, TRAVEN, Gregor, ZWITTER, Tomaž, PANOV, Panče, DŽEROSKI,
Sašo. Classification of stellar types based on RAVE stellar spectra morphology. In:
DEŽMAN, Miha (ed.), et al.
Zbornik = Proceedings. 10. študentska konferenca Mednarodne podiplomske šole Jožefa Stefana in 12. dneva
mladih raziskovalcev (Konferenca KMBO), 10. in 11. maj 2018, Ljubljana, Slovenija
= 10th Jožef Stefan International Postgraduate School Students' Conference and 12th
Young Researchers' Day 10th and 11th May 2018, Piran, Slovenia. Ljubljana: Mednarodna
podiplomska šola Jožefa Stefana: = Jožef Stefan International Postgraduate School:
Inštitut Jožef Stefan: = Jožef Stefan Institute, 2018. Str. 30.
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569.
LJONCHEVA, Milka, HEATH, Ester, DŽEROSKI, Sašo, KOSJEK, Tina. Generation of a test
dataset for machine learning-assisted identification of contaminantsof emergingconcern.
In: DEŽMAN, Miha (ed.), et al.
Zbornik = Proceedings. 10. študentska konferenca Mednarodne podiplomske šole Jožefa Stefana in 12. dneva
mladih raziskovalcev (Konferenca KMBO), 10. in 11. maj 2018, Ljubljana, Slovenija
= 10th Jožef Stefan International Postgraduate School Students' Conference and 12th
Young Researchers' Day 10th and 11th May 2018, Piran, Slovenia. Ljubljana: Mednarodna
podiplomska šola Jožefa Stefana: = Jožef Stefan International Postgraduate School:
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PEEV, Gjorgi, SIMIDJIEVSKI, Nikola, DŽEROSKI, Sašo. Identification of a nonlinear
dynamical benchmark system using process - based model ing. In: DEŽMAN, Miha (ed.),
et al.
Zbornik = Proceedings. 10. študentska konferenca Mednarodne podiplomske šole Jožefa Stefana in 12. dneva
mladih raziskovalcev (Konferenca KMBO), 10. in 11. maj 2018, Ljubljana, Slovenija
= 10th Jožef Stefan International Postgraduate School Students' Conference and 12th
Young Researchers' Day 10th and 11th May 2018, Piran, Slovenia. Ljubljana: Mednarodna
podiplomska šola Jožefa Stefana: = Jožef Stefan International Postgraduate School:
Inštitut Jožef Stefan: = Jožef Stefan Institute, 2018. Str. 36.
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BOGATINOVSKI, Jasmin, KOCEV, Dragi, DŽEROSKI, Sašo. Meta learning for multi target
regression. In: DEŽMAN, Miha (ed.), et al.
Zbornik = Proceedings. 10. študentska konferenca Mednarodne podiplomske šole Jožefa Stefana in 12. dneva
mladih raziskovalcev (Konferenca KMBO), 10. in 11. maj 2018, Ljubljana, Slovenija
= 10th Jožef Stefan International Postgraduate School Students' Conference and 12th
Young Researchers' Day 10th and 11th May 2018, Piran, Slovenia. Ljubljana: Mednarodna
podiplomska šola Jožefa Stefana: = Jožef Stefan International Postgraduate School:
Inštitut Jožef Stefan: = Jožef Stefan Institute, 2018. Str. 31.
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PANOV, Panče, KOSTOVSKA, Ana, TOLOVSKI, Ilin, DŽEROSKI, Sašo. Neurodegenerative diseases
data ontology. In: DEŽMAN, Miha (ed.), et al.
Zbornik = Proceedings. 10. študentska konferenca Mednarodne podiplomske šole Jožefa Stefana in 12. dneva
mladih raziskovalcev (Konferenca KMBO), 10. in 11. maj 2018, Ljubljana, Slovenija
= 10th Jožef Stefan International Postgraduate School Students' Conference and 12th
Young Researchers' Day 10th and 11th May 2018, Piran, Slovenia. Ljubljana: Mednarodna
podiplomska šola Jožefa Stefana: = Jožef Stefan International Postgraduate School:
Inštitut Jožef Stefan: = Jožef Stefan Institute, 2018. Str. 29.
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NIKOLOSKI, Stevanche, DEBELJAK, Marko, CREAMER, Rachel, WALL, David, DŽEROSKI, Sašo,
TRAJANOV, Aneta. Prediction of mineralizable nitrogen (N) in soils using ensembles
of regression models. In:
Abstract book Pedometrics 2017, Wageningen, 26 June - 1 July 2017. Wageningen: s. n., 2017. Str. 174.
https://static1.squarespace.com/static/5653202ee4b037d305e7fd3e/t/594a53f7e4fcb553cd43b9c0/1498043388899/Abstract+Book+Pedometrics+2017.pdf. [COBISS.SI-ID
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574.
VIDAK, Marko, LIOVIĆ, Mirjana, JOVCHEVSKA, Ivana, ROZMAN, Damjana, DŽEROSKI, Sašo,
KOMEL, Radovan. Bioinformatic identification and experimental validation of new glioblastoma
stem cell marker candidates. In: GORIČAR, Katja (ed.), HUDLER, Petra (ed.).
Book of abstracts = Zbornik povzetkov. 12th Meeting of the Slovenian Biochemical Society with International Participation
= 12. srečanje Slovenskega biokemijskega društva z mednarodno udeležbo, Bled 20 -
23 september 2017. Ljubljana: Slovenian Biochemical Society, 2017. Str. 179. ISBN
978-961-93879-4-8. [COBISS.SI-ID
33513177]
575.
VIDAK, Marko, LIOVIĆ, Mirjana, DŽEROSKI, Sašo, ROZMAN, Damjana, KOMEL, Radovan. Discovery
of new glioblastoma stem cell marker candidates by analyzing mRNA microarray data
from NCBI GEO database. In: LAH TURNŠEK, Tamara (ed.), et al.
Book of abstracts. 8th Conference on Experimental and Translational Oncology, Portorož, Slovenia, April,
19-23, 2017. 1st ed. Ljubljana: Association of Radiology and Oncology, 2017. Str.
139. ISBN 978-961-91302-5-4. [COBISS.SI-ID
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576.
DŽEROSKI, Sašo. MAESTRA : learning from massive, incompletely annotated and structure
data. In: KRALJ NOVAK, Petra (ed.).
Collection of abstracts : ECML PKDD 2017, The European Conference on Machine Learning
& Principles and Practice of Knowledge Discovery in Database, September 18-22, 2017,
Skopje, Macedonia. [S. l.: s. n.], 2017. Str. 13. EU project forum.
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PEEV, Gjorgi, SIMIDJIEVSKI, Nikola, DŽEROSKI, Sašo. Data - driven modeling of nonlinear
dynamic systems. In: PAVLIN, Majda (ed.), et al.
Zbornik = Proceedings. 9. študentska konferenca Mednarodne podiplomske šole Jožefa Stefana in 11. dan mladih
raziskovalcev (Konferenca KMBO) = 9th Jožef Stefan International Postgraduate School
Students' Conference and 11th Young researchers' Day, [19.-20. 4. 2017, Ljubljana,
Slovenija]. Ljubljana: Mednarodna podiplomska šola Jožefa Stefana: = Jožef Stefan
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2017. Str. 86. [COBISS.SI-ID
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578.
MILESKI, Vanja, KOCEV, Dragi, DŽEROSKI, Sašo. Tree methods for hierarchical multivariate
regression. In: PAVLIN, Majda (ed.), et al.
Zbornik = Proceedings. 9. študentska konferenca Mednarodne podiplomske šole Jožefa Stefana in 11. dan mladih
raziskovalcev (Konferenca KMBO) = 9th Jožef Stefan International Postgraduate School
Students' Conference and 11th Young researchers' Day, [19.-20. 4. 2017, Ljubljana,
Slovenija]. Ljubljana: Mednarodna podiplomska šola Jožefa Stefana: = Jožef Stefan
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SIMIDJIEVSKI, Nikola, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo. Constructing a library of
domain knowledge for process-based modeling of neurons using the Hodgkin-Huxley formalism.
In: AČIMOVIČ, Jure (ed.), et al.
Book af abstracts. 10th CFGBC Symposium with ISBE and CASyM workshops From functional genomics to systems
biology and systems medicine & Hands-on tutorial systems biology/medicine, Ljubljana,
June 30 - July 3, 2015. Ljubljana: Faculty of Medicine, 2015. Str. 32. ISBN 978-961-267-093-1.
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TANEVSKI, Jovan, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo. Process-based design of synthetic
biological systems. In: AČIMOVIČ, Jure (ed.), et al.
Book af abstracts. 10th CFGBC Symposium with ISBE and CASyM workshops From functional genomics to systems
biology and systems medicine & Hands-on tutorial systems biology/medicine, Ljubljana,
June 30 - July 3, 2015. Ljubljana: Faculty of Medicine, 2015. Str. 33. ISBN 978-961-267-093-1.
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581.
MIHELČIČ, Matej, LAVRAČ, Nada, DŽEROSKI, Sašo, ŽENKO, Bernard, ŠMUC, Tomislav. Redescription
mining from biological and clinical descriptions of patients with different levels
of dementia. In:
Brain informatics & health : type II paper : proceedings. The International Conference on Brain Informatics and Health, London, UK, August
30 - September 2, 2015. [S. l.: s. n.], 2015. Str. 41-42. [COBISS.SI-ID
28852007]
582.
TRAJANOV, Aneta, KUZMANOVSKI, Vladimir, RÉAL, Benoît, MARKS PERREAU, Jonathan, DŽEROSKI,
Sašo, DEBELJAK, Marko. Assessing the risk of tile-drained water pollution with pesticides.
In: JANSEN, Boris (ed.).
Soil science in a changing world : Wageningen Soil Conference 2015, 23-27 August 2015
Wageningen, The Netherlands : book of abstracts. [S. l.: s. n.], 2015. Str. 75. [COBISS.SI-ID
28853543]
583.
DŽEROSKI, Sašo, KOCEV, Dragi, DIMITROVSKI, Ivica, ŠMUC, Tomislav, CECI, Michelangelo,
GAMA, João. MAESTRA : learning from massive, incompletely annotated, and structured
data. In:
Discovery science : book of abstracts. [S. l.: s. n.], 2014. 1 str.
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585.
TRAJANOV, Aneta, KUZMANOVSKI, Vladimir, LEPRINCE, Florence, RÉAL, Benoît, DUTERTRE,
Alain, MAILLET-MEZERAY, Julie, DŽEROSKI, Sašo, DEBELJAK, Marko. Studying the drainage
periods for agricultural fields with data mining : La Jaillière case study. In:
Discovery science : book of abstracts. [S. l.: s. n.], 2014. 1 str.
http://ds2014.ijs.si/lbp/DS2014_LBP_complete.pdf. [COBISS.SI-ID
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SIMIDJIEVSKI, Nikola, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo. Automated modeling of system
dynamics and its applications. In:
Human brain project : 1st HBP Educational Workshop, New Frontiers in Neuroscience
and Methods of Transdisciplinary Education, 18th - 20th June 2014, Tel Aviv Israel
: abstract collection. Tel Aviv: Tel Aviv University, Sagol School of Neuroscience, 2014. Str. 10.
https://www.dropbox.com/s/3t9q4tld1o6r3a6/HBP_WorkShop2014TelAviv.pdf. [COBISS.SI-ID
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SIMIDJIEVSKI, Nikola, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo. Constructing a library of
domain knowledge for process - based modeling of neurons using the Hodgkin-Huxley
formalism. In:
Human brain project : 1st HBP School, 8th - 14th September 2014, Alpbach, Austria
: abstract collection students. [S. l.]: European Commission. Str. 25.
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589.
LEVATIĆ, Jurica, ALEKSOVSKI, Darko, DEBELJAK, Marko, KOCEV, Dragi, DŽEROSKI, Sašo.
Exploiting taxonomic rank for habitat modelling with predictive-clustering trees.
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DEBELJAK, Marko, TRAJANOV, Aneta, DŽEROSKI, Sašo, MEIER-BETHKE, Sara, SCHIEMANN, Joachim.
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NEWELL, Graeme R., WHITE, Matt D., GRIFFIOEN, Peter, KOCEV, Dragi, DŽEROSKI, Sašo.
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MAKSIMOVIĆ, Daniela, DEBELJAK, Marko, CECI, Michelangelo, APPICE, Annalisa, MALERBA,
Donato, DŽEROSKI, Sašo. Dealing with spatial autocorrelation in gene flow modeling.
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Models of the ecological hierarchy : from molecules to the ecosphere. [S. l.]: Elsevier, 2012. Str. 35-49. ISBN 978-0-44459-396-2, ISBN 0-44459-396-9.
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PANOV, Panče, SOLDATOVA, Larisa N., DŽEROSKI, Sašo. Representing entities in the OntoDM
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STRUYF, Jan, DŽEROSKI, Sašo. Constrained predictive clustering. In: DŽEROSKI, Sašo
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VENS, Celine, SCHIETGAT, Leander, STRUYF, Jan, BLOCKEEL, Hendrik, KOCEV, Dragi, DŽEROSKI,
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SLAVKOV, Ivica, DŽEROSKI, Sašo. Analyzing gene expression data with predictive clustering
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TODOROVSKI, Ljupčo, WEBER, Irene, LAVRAČ, Nada, STĚPÁNKOVA, Olga, DŽEROSKI, Sašo,
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DŽEROSKI, Sašo, TODOROVSKI, Ljupčo. Modeling the dynamics of biological networks from
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DŽEROSKI, Sašo. Machine learning aplications in habitat suitability modeling. In:
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DEBELJAK, Marko, DŽEROSKI, Sašo. Applications of data mining in ecological modelling.
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DŽEROSKI, Sašo, GRBOVIĆ, Jasna, WALLEY, William J. Machine learning applications in
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LAVRAČ, Nada, GAMBERGER, Dragan, DŽEROSKI, Sašo. Noise elimination applied to early
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DŽEROSKI, Sašo, SCHULZE-KREMER, Steffen, HEIDTKE, Karsten R., SIEMS, Karsten, WETTSCHERECK,
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769.
LAVRAČ, Nada (interviewee), DŽEROSKI, Sašo (interviewee). Obetaven razvoj računalniške
diagnostike : megaprojekt človeški možgani.
Delo,
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LAVRAČ, Nada (interviewee), MLADENIĆ, Dunja (interviewee), JERMOL, Mitja (interviewee),
DŽEROSKI, Sašo (interviewee), ERJAVEC, Tomaž (interviewee), BOHANEC, Marko (interviewee),
GROBELNIK, Marko (interviewee). Svetovni splet se spreminja v semantični splet.
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KOBLER, Andrej, PFEIFER, Norbert, OGRINC, Peter, TODOROVSKI, Ljupčo, OŠTIR, Krištof,
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DŽEROSKI, Sašo, ŽENKO, Bernard, DEBELJAK, Mitja. A report on the Fourth International
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2.01 Scientific monograph
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ATANASOVA, Nataša, BRATKO, Ivan, DEBELJAK, Marko, DŽEROSKI, Sašo, KOBLER, Andrej,
KOMPARE, Boris, TODOROVSKI, Ljupčo, ŽENKO, Bernard.
Analysis of environmental data with machine learning methods : Ljubljana, May 4-8,
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KOMPARE, Boris, TODOROVSKI, Ljupčo, ŽENKO, Bernard.
Analysis of environmental data with machine learning methods : Ljubljana, May 4-8,
2009. Part 2. Ljubljana: Jožef Stefan Institute, Center for Knowledge Transper in Information
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TODOROVSKI, Ljupčo, ŽENKO, Bernard.
Analysis of environmental data with machine learning methods : Ljubljana, May 4-8,
2009. Part 3. Ljubljana: Jožef Stefan Institute, Center for Knowledge Transper in Information
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DŽEROSKI, Sašo.
Knowledge discovery in data with applications in agriculture & forestry : Novi Sad,
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785.
DŽEROSKI, Sašo, DEBELJAK, Marko.
Machine learning in ecological modelling : tutotial at the Conference ISEM 2009, Ecological
Modelling for Enhanced Sustainability in Management, October 5, 2009, Québec, Canada.
Vol. 1. Ljubljana: Jožef Stefan Institute, Department of Knowledge Technologies: Jožef Stefan
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786.
DŽEROSKI, Sašo, DEBELJAK, Marko.
Machine learning in ecological modelling : tutotial at the Conference ISEM 2009, Ecological
Modelling for Enhanced Sustainability in Management, October 5, 2009, Québec, Canada.
Vol. 2. Ljubljana: Jožef Stefan Institute, Department of Knowledge Technologies: Jožef Stefan
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BRATKO, Ivan, DŽEROSKI, Sašo.
Analysis of environmental data with machine learning methods : Ljubljana, March 17-21,
2008. Part 1. Ljubljana: Jožef Stefan Institute, Center for Knowledge Transfer in Information
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Analysis of environmental data with machine learning methods : Ljubljana, March 17-21,
2008. Part 2. Ljubljana: Jožef Stefan Institute, Center for Knowledge Transper in Information
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ATANASOVA, Nataša, DEBELJAK, Marko, DŽEROSKI, Sašo, KOBLER, Andrej, KOMPARE, Boris,
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Analysis of environmental data with machine learning methods : Ljubljana, March 17-21,
2008. Part 3. Ljubljana: Jožef Stefan Institute, Center for Knowledge Transper in Information
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DŽEROSKI, Sašo.
Relational data mining and relational reinforcement learning : lecture notes of a
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BRATKO, Ivan, DŽEROSKI, Sašo, KOMPARE, Boris.
Analysis of environmental data with machine learning methods : Ljubljana, February
27 - March 2, 2006. Part 1. Ljubljana: Jožef Stefan Institute, Center for Knowledge Transper in Information
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Analysis of environmental data with machine learning methods : Ljubljana, February
27 - March 2, 2006. Part 2. Ljubljana: Jožef Stefan Institute, Center for Knowledge Transper in Information
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DŽEROSKI, Sašo.
Knowledge discovery from environmental data : Ecotechnology program : lecture notes. Ljubljana: Jožef Stefan International Postgraduate School, 2006. 1 zv. (loč. pag.).
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DŽEROSKI, Sašo.
Relational data mining : lecture notes of a PhD-level course. Trento: Universita degli studi di Trento, 2006. 1 zv. (loč. pag.). [COBISS.SI-ID
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795.
DŽEROSKI, Sašo.
Selected topics from new media and eScience : part of "New media and e-science" MSc
programme : lecture notes, 2005/2006. Ljubljana: Jozef Stefan International Postgraduate School, 2006. 1 zv. (loč. pag.),
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796.
DŽEROSKI, Sašo, BOHANEC, Marko.
Data mining and decision support for environmental applications : introductory couse
for SIGMEA partners : lecture notes. Ljubljana: Jožef Stefan Institute, Department of Intelligent Systems, 2005. loč.
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Knowledge discovert from environmental data : Ecotechnology programme : lecture notes. Ljubljana: Jozef Stefan International Postgraduate School, 2005. loč. pag., ilustr.
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DŽEROSKI, Sašo, ERJAVEC, Tomaž, ŽGANEC GROS, Jerneja.
New media and language technologies : lecture notes : part of "New media and e-science"
MSc programme, 2004/2005. Ljubljana: Jozef Stefan International Postgraduate School, 2005. loč. pag., ilustr.
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Relational data mining and ILP : course notes, June 27 - July 5,2005, Ljubljana. Ljubljana: Institut Jožef Stefan, 2005. 25 str., ilustr. Advanced course on knowledge
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Selected topics from New media and e-science : part of "New media and e-science" MSc
programme and "Statistics" MSc programme : fall semester 2004/2005. Ljubljana: Jozef Stefan International Postgraduate School, 2005. loč. pag., ilustr.
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801.
BRATKO, Ivan, DŽEROSKI, Sašo, KOMPARE, Boris.
Analysis of environmental data with machine learning methods : Ljubljana, 4-7 October
2004. I. Ljubljana: Jožef Stefan Institute, Center for Knowledge Transper in Information Technology,
2004. 1 zv. (loč. pag.). [COBISS.SI-ID
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802.
BRATKO, Ivan, DŽEROSKI, Sašo, KOMPARE, Boris.
Analysis of environmental data with machine learning methods : Ljubljana, 4-7 October
2004. II. Ljubljana: Jožef Stefan Institute, Center for Knowledge Transper in Information Technology,
2004. 1 zv. (loč. pag.). [COBISS.SI-ID
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BRATKO, Ivan, DŽEROSKI, Sašo, KOMPARE, Boris.
Analysis of environmental data with machine learning methods. I. : Ljubljana, 26-29
May 2003. Ljubljana: Jozef Stefan Institute, Center for Knowledge Transfer in Information
Technologies, 2003. loč. pag., ilustr., graf. prikazi. [COBISS.SI-ID
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804.
BRATKO, Ivan, DŽEROSKI, Sašo, KOMPARE, Boris.
Analysis of environmental data with machine learning methods. II. : Ljubljana, 26-29
May 2003. Ljubljana: Jozef Stefan Institute, Center for Knowledge Transfer in Information
Technologies, 2003. loč. pag., ilustr., graf. prikazi. [COBISS.SI-ID
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805.
DŽEROSKI, Sašo, BOHANEC, Marko, ZUPAN, Blaž.
Data mining and decision support for environmental applications : lecture notes. Ljubljana: Jožef Stefan Institute, Department of Intelligent Systems, 2003. loč.
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806.
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of a PhD-level course. Trento: Universita degli Studi di Trento, 2003. loč. pag. [COBISS.SI-ID
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807.
BRODLEY, Carla E., DŽEROSKI, Sašo, et al., SRIKANT, Ramakrishnan (editor), The Ninth
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August
24-27, 2003, Washington, DC, USA.
KDD 2003 tutorial notes. New York: The Association for Computing Machinery, 2003. loč. pag., ilustr. [COBISS.SI-ID
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Relational data mining : lecture notes of a PhD-level course. Pisa: Universita degli Studi di Pisa, Dipartimento di Informatica, 2003. loč. pag.
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KAMATH, Chandrika, HANCOCK F., Monte, DŽEROSKI, Sašo, ANKERST, Mihael, KEIM, Daniel
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Tutorial notes of the Third SIAM International Conference on Data Mining : SDM 2003,
May 1-3, 2003, cathedral Hill Hotel, San Francisco, CA. Chicago: AHPCRC, University of Illinois, 2003. loč. pag. [COBISS.SI-ID
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GROBELNIK, Marko, LAVRAČ, Nada, MLADENIĆ, Dunja, MOHORČIČ, Mihael, CESTNIK, Bojan,
DŽEROSKI, Sašo.
Uspešno prijavljanje projektov v 6. okvirnem programu EU. Ljubljana: Institut Jožef Stefan, Center za prenos znanja na področju informacijskih
tehnologij, 2003. loč. pag. [COBISS.SI-ID
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BRATKO, Ivan, DŽEROSKI, Sašo, KOMPARE, Boris.
Analysis of environmental data with machine learning methods. I. Ljubljana: Jozef Stefan Institut, Center for Knowledge Transfer in Information Technologies,
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BRATKO, Ivan, DŽEROSKI, Sašo, KOMPARE, Boris.
Analysis of environmental data with machine learning methods. II. Ljubljana: Jozef Stefan Institut, Center for Knowledge Transfer in Information Technologies,
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813.
DŽEROSKI, Sašo.
Relational data mining : ICDM-2002 tutorial. Maebashi City, Japan: IEEE, 2002. [COBISS.SI-ID
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814.
LAVRAČ, Nada, DŽEROSKI, Sašo, DŽEROSKI, Sašo (editor), ŽENKO, Bernard (editor).
Summer school on relational data mining : lecture notes : Helsinki, Finland, 17-18
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815.
BRATKO, Ivan, DŽEROSKI, Sašo, KOMPARE, Boris, URBANČIČ, Tanja.
Analysis of environmental data with machine learning methods. I. Ljubljana: Jozef Stefan Institute, Center for Knowledge Transfer in Information Technologies,
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BRATKO, Ivan, DŽEROSKI, Sašo, KOMPARE, Boris, URBANČIČ, Tanja.
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817.
DŽEROSKI, Sašo, HRISTOVSKI, Dimitar, KING, Ross, SRINIVASAN, Ashwin, ZUPAN, Blaž.
Data analysis in life sciences. I. Ljubljana: Jozef Stefan Institute: Center for Knowledge Transfer in Information Technogies,
2000. loč. pag., ilustr. [COBISS.SI-ID
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818.
DŽEROSKI, Sašo, HRISTOVSKI, Dimitar, KING, Ross, SRINIVASAN, Ashwin, ZUPAN, Blaž.
Data analysis in life sciences. II. Ljubljana: Jozef Stefan Institute: Center for Knowledge Transfer in Information Technogies,
2000. loč. pag., ilustr. [COBISS.SI-ID
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819.
BRATKO, Ivan, DŽEROSKI, Sašo, KOMPARE, Boris, WALLEY, William J.
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Analysis of environmental data with machine learning methods. II. Ljubljana: Jozef Stefan Institute, Center for Knowledge Transfer in Information Technologies,
1999. loč. pag., ilustr., graf. prikazi. [COBISS.SI-ID
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821.
JØRGENSEN, Sven Erik, DŽEROSKI, Sašo, DEBELJAK, Marko (author, editor), KOBLER, Andrej.
Klasično in avtomatizirano ekološko modeliranje. Ljubljana: Biotehniška fakulteta, Oddelek za gozdarstvo in obnovljive gozdne vire,
1999. 125 str. loč. pag., ilustr. [COBISS.SI-ID
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822.
DŽEROSKI, Sašo.
Odkrivanje znanja iz podatkov = Data mining and knowledge discovery : seminar, Bled
12-13 maj 1999. Ljubljana: Institut Jožef Stefan, Odsek za inteligentne sisteme: Center za prenos
znanja na področju informacijskih tehnologij, 1998. loč. pag., ilustr. [COBISS.SI-ID
15304487]
823.
BRAZDIL, Pavel B., SRINIVASAN, Ashwin, JORGE, Alípio, KNOBBE, Arno, DŽEROSKI, Sašo,
PUTTEN, Peter van der.
International Summer School on Knowledge Discovery in Databases and Data Mining: Methods
and Applications. Vol. III. : Caminha, Portugal, 28 September - 4 October 1998. Portugal: EAIA-98 of APPIA, 1998. loč. pag., ilustr. [COBISS.SI-ID
17890087]
824.
BRATKO, Ivan, DŽEROSKI, Sašo.
Odkrivanje znanja iz podatkov : seminar, 16. junij 1998, Izobraževalni center za jedrsko
tehnologijo Milana Čopiča, Podgorica pri Ljubljani. Ljubljana: Institut Jožef Stefan, Odsek za inteligentne sisteme: Center za prenos
znanja na področju informacijskih tehnologij, 1998. loč. pag., ilustr. [COBISS.SI-ID
15304231]
825.
DŽEROSKI, Sašo, LAVRAČ, Nada (scribe), STEPANKOVA, Olga, KAZAKOV, Dimitar.
ILP & KDD : International Summer School on Inductive Logic Programming and Knowledge
Discovery in Databases : lecture notes. Ljubljana: Jožef Stefan Institute; Prague: Czech Technical Univeristy, 1997. loč.
pag., ilustr. [COBISS.SI-ID
19421223]
826.
BRATKO, Ivan, DŽEROSKI, Sašo, KOMPARE, Boris.
Analiza ekoloških podatkov z metodami strojnega učenja. Ljubljana: Institut Jožef Stefan, 1996. [152] str., ilustr. [COBISS.SI-ID
208481]
827.
LAVRAČ, Nada, DŽEROSKI, Sašo.
Inductive logic programming : Tutorial 4th Scandinavian Conference on Artificial Intelligence,
SCAI'93, Stockholm. 1993. [COBISS.SI-ID
5840423]
2.08 Doctoral dissertation
828.
DŽEROSKI, Sašo.
Numerical constraints and learnability in inductive logic programming : thesis. Ljubljana: [S. Džeroski], 1995. XV, 180 str., graf. prikazi. [COBISS.SI-ID
54559744]
2.09 Master's thesis
829.
DŽEROSKI, Sašo.
Handling noise in inductive logic programming : M.Sc. Thesis. Ljubljana: [S. Džeroski], 1991. [5], VII, 65 f., ilustr. [COBISS.SI-ID
1058900]
2.11 Undergraduate thesis
830.
DŽEROSKI, Sašo.
Upravljanje inverznega nihala : diplomska naloga. Ljubljana: [S. Džeroski], 1989. 73 f., ilustr. [COBISS.SI-ID
64654083]
2.12 Final research report
831.
JANŽA, Mitja, KOBLER, Andrej, MAKSIMOVIĆ, Daniela, DŽEROSKI, Sašo, MARSETIČ, Aleš,
OŠTIR, Krištof, KOMAC, Marko, JEMEC AUFLIČ, Mateja, GOSAR, Andrej.
Metodologija izdelave podrobne digitalne karte višine in gostote vegetacijskega pokrova
: končno poročilo raziskovalnega projekta M1-0137, v okviru Ciljnega raziskovalnega
programa "Znanje in varnost in mir 2006-2010". Ljubljana: Geološki zavod Slovenije, 2008. 37 str., pril., ilustr. [COBISS.SI-ID
1588309]
832.
JURC, Maja, JURC, Dušan, PIŠKUR, Barbara, OGRIS, Nikica, KRČ, Janez, UREK, Gregor,
DŽEROSKI, Sašo, BERGANT, Klemen.
Škodljivi dejavniki za gozd v sodobnem času : metode spremljanja, ekološko modeliranje,
vpliv gospodarjenja ter načini ukrepanja : zaključno poročilo o rezultatih opravljenega
raziskovalnega dela na projektu v okviru raziskovalnega programa (CRP) "Konkurenčnost
Slovenije 2006-2013". Ljubljana: Biotehniška fakulteta, 2008. 15 str. [COBISS.SI-ID
2264230]
2.13 Treatise, preliminary study, study
833.
KOSTOVSKA, Ana, DŽEROSKI, Sašo, PANOV, Panče.
A system for semantic annotation, storing and querying of data mining datasets. 2020. IJS delovno poročilo, 13154. [COBISS.SI-ID
15955459]
834.
KOSTOVSKA, Ana, TOLOVSKI, Ilin, SIMIDJIEVSKI, Nikola, TODOROVSKI, Ljupčo, DŽEROSKI,
Sašo, PANOV, Panče.
Process-based modelling of dynamical systems : an ontology of core entities. 2020. IJS delovno poročilo, 13150. [COBISS.SI-ID
15961347]
835.
KOSTOVSKA, Ana, BOGATINOVSKI, Jasmin, DŽEROSKI, Sašo, KOCEV, Dragi, PANOV, Panče.
Semantic annotation and querying of datasets for multi-label classification. 2020. IJS delovno poročilo, 13156. [COBISS.SI-ID
16060163]
836.
TOLOVSKI, Ilin, BOGATINOVSKI, Jasmin, DŽEROSKI, Sašo, KOCEV, Dragi, PANOV, Panče.
Semantic annotation of multi-label classification experiments. 2020. IJS delovno poročilo, 13157. [COBISS.SI-ID
16059395]
837.
TOLOVSKI, Ilin, DŽEROSKI, Sašo, PANOV, Panče.
Semantic annotation of predictive modelling experiments. 2020. IJS delovno poročilo, 13155. [COBISS.SI-ID
16061955]
838.
KOSTOVSKA, Ana, DŽEROSKI, Sašo, PANOV, Panče.
Semantic description of data mining datasets : an ontology-based annotation schema. 2020. IJS delovno poročilo, 13153. [COBISS.SI-ID
15958019]
839.
KOSTOVSKA, Ana, TOLOVSKI, Ilin, DŽEROSKI, Sašo, PANOV, Panče.
A system for semantic annotation and querying of datasets, models and experiments
in the domain of process-based modelling of dynamical systems. 2020. IJS delovno poročilo, 13151. [COBISS.SI-ID
15962883]
840.
SABY, N. P. A., CSORBA, A., SZEGI, T., MICHELI, E., TRAJANOV, Aneta, DEBELJAK, Marko,
DŽEROSKI, Sašo, BAMPA, Francesca, VREBOS, D., CREAMER, Rachel.
Second annual review data management plan : deliverable D 2.1. [S. l.]: Landmark, 2018. 29 str., tabele. Data collation and harmonisation, WP2.
[COBISS.SI-ID
31512359]
841.
KRANJC, Janez, ŽENKO, Bernard, KOCEV, Dragi, OSOJNIK, Aljaž, VAVPETIČ, Anže, KRALJ,
Jan, LAVRAČ, Nada, DŽEROSKI, Sašo.
ClowdFlows platform for big data analytics : preliminary version. 2014. IJS delovno poročilo, 11701. [COBISS.SI-ID
27985959]
842.
ČEREPNALKOSKI, Darko, DŽEROSKI, Sašo.
Constructing N-way alignments using multiple pair-wise alignments. 2010. IJS delovno poročilo, 10540. [COBISS.SI-ID
23896871]
843.
GJORGJIOSKI, Valentin, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo.
A parallel implementation of the LAGRAMGE approach to process-based modeling. 2010. IJS delovno poročilo, 10452. [COBISS.SI-ID
23556647]
844.
TAŠKOVA, Katerina, DŽEROSKI, Sašo.
Parameter estimation in nonlinear ODE models by using two optimization algorithms
: ALG717 and SNOBFIT. 2010. IJS delovno poročilo, 10453. [COBISS.SI-ID
23554087]
845.
ČEREPNALKOSKI, Darko, DŽEROSKI, Sašo.
Stochastic beam search in LAGRAMGE. 2010. IJS delovno poročilo, 10451. [COBISS.SI-ID
23551783]
846.
GJORGJIOSKI, Valentin, DŽEROSKI, Sašo, WHITE, Matt D.
Clustering analysis of vegetation data. 2008. IJS delovno poročilo, 10065. [COBISS.SI-ID
22196775]
847.
GJORGJIOSKI, Valentin, DŽEROSKI, Sašo.
Stochastic propositionalization of relational data using aggregates. 2008. IJS delovno poročilo, 10064. [COBISS.SI-ID
22197031]
848.
KROGH, Paul Henning, BOHANEC, Marko, DŽEROSKI, Sašo, et al.
Collaborative systems for EU research projects : dissemination. 2007, March 2007. ECOGEN, issue 1. [COBISS.SI-ID
20716583]
849.
DEMŠAR, Damjan, DŽEROSKI, Sašo, LARSEN, Thomas, HENNING KROGH, Paul.
Modelling microathropods and identifying the most important agricultural factors for
the soil community of microathropods. 2003. IJS delovno poročilo, 8893. [COBISS.SI-ID
17952807]
850.
ŽENKO, Bernard, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo.
Experiments with heterogeneous meta decision trees. 2002. IJS delovno poročilo, 8638. [COBISS.SI-ID
17006119]
851.
DŽEROSKI, Sašo, BLOCKEEL, Hendrik, TODOROVSKI, Ljupčo.
Relational ranking with predictive clustering trees. 2002. IJS delovno poročilo, 8639. [COBISS.SI-ID
17006887]
852.
BLOCKEEL, Hendrik, DŽEROSKI, Sašo, GRBOVIĆ, Jasna.
Experiments with TILDE in the river water quality domain. 1999. IJS delovno poročilo, DP-8089. [COBISS.SI-ID
14165543]
853.
DŽEROSKI, Sašo, ERJAVEC, Tomaž, ZAVREL, Jakub.
Morphosyntactic tagging of Slovene : evaluating PoS taggers and tagsets. 1999. IJS delovno poročilo, 8018. [COBISS.SI-ID
14103079]
854.
LAVRAČ, Nada, WEBER, Irene, ZUPANIČ, Darko, KAZAKOV, D., ŠTEPANKOVA, O., DŽEROSKI,
Sašo.
ILPNET repositories on WWW : Inductive logic programming systems, datasets and bibliography
: PECO 92 contract No. CIPA3510OCT920044. Ljubljana, 1996. [COBISS.SI-ID
12256295]
855.
LAVRAČ, Nada, DŽEROSKI, Sašo, BRATKO, Ivan.
Advances in imperfect data handling and aplications of ILP : Final Report ESPRIT III,
project 6020 on ILP. Leuven: Katholieke Universiteit, 1995. [COBISS.SI-ID
11891239]
856.
DŽEROSKI, Sašo, LAVRAČ, Nada.
Learning relations from imperfect data. 1991. IJS delovno poročilo, 6163. [COBISS.SI-ID
5194023]
857.
LAVRAČ, Nada, DŽEROSKI, Sašo, GROBELNIK, Marko.
Experiments in learning nonrecursive definitions of relations with LINUS. 1990. IJS delovno poročilo, 5863. [COBISS.SI-ID
8025383]
858.
LAVRAČ, Nada, DŽEROSKI, Sašo, PIRNAT, V.
Learning rules for early diagnosis of rheumatic dieases. 1990. IJS delovno poročilo, 5979. [COBISS.SI-ID
8025639]
859.
DŽEROSKI, Sašo, LAVRAČ, Nada.
Refinement graphs for foil and linus. 1990. IJS delovno poročilo, 5958. [COBISS.SI-ID
8024871]
2.21 Software
860.
RADINJA, Matej, ŠKERJANEC, Mateja, ŠRAJ, Mojca, DŽEROSKI, Sašo, TODOROVSKI, Ljupčo,
ATANASOVA, Nataša.
Automated modelling of urban rainfall-runoff: knowledge library, conceptual model
and data set : published 26 August 2021, version 1. [S. l.]: Mendeley Data; Ljubljana: Univerza v Ljubljani: Institut Jožef Stefan,
cop. 2021. 1 spletni vir, ilustr.
https://data.mendeley.com/datasets/4hfhn3nf3n/1, DOI:
10.17632/4hfhn3nf3n.1. [COBISS.SI-ID
82221571]
financier: ARRS, P2-0180, SI, Vodarstvo in geotehnika: orodja in metode za analize
in simulacije procesov ter razvoj tehnologij
2.23 Patent application
861.
KHIARI, Jihed, MOREIRA-MATIAS, Luis, DŽEROSKI, Sašo, ŽENKO, Bernard.
Method for robust model integration in ensemble learning : patentna prijava US 2019/0303795
A1. [S. l.]: US Patent Office, 3 Oct. 2019. [COBISS.SI-ID
31853095]
PERFORMED WORKS (EVENTS)
3.13 Organizing scientific and professional meetings
862.
URBANČIČ, Tanja, DŽEROSKI, Sašo, WEISS, Renata.
Analysis of Environmental Data with Machine Learning Methods, International Seminar,
Ljubljana, 11-14 Dec. 2000. 2000. [COBISS.SI-ID
15615271]
863.
URBANČIČ, Tanja, DŽEROSKI, Sašo.
Data Analysis in Life Sciences, International Seminar, Ljubljana, 18-19 May, 2000. 2000. [COBISS.SI-ID
15614759]
864.
URBANČIČ, Tanja, DŽEROSKI, Sašo.
Analysis of environmental data with machine learning methods, International Seminar,
8-11 November 1999, Ljubljana. 1999. [COBISS.SI-ID
16462887]
865.
CUSSENS, J., DŽEROSKI, Sašo.
The First International Workshop on Learning Language in Logic (LLL'99), June 30,
1999, Bled. 1999. [COBISS.SI-ID
16394023]
866.
DŽEROSKI, Sašo, FLACH, P., URBANČIČ, Tanja.
The Ninth International Workshop on Inductive Logic Programming (ILP'99), June 24-27,
1999, Bled. 1999. [COBISS.SI-ID
16393767]
867.
ŽERKO, Irena, URBANČIČ, Tanja, DŽEROSKI, Sašo.
Odkrivanje znanja iz podatkov = Data mining and knowledge discovery : 12-13 maj 1999,
Bled, SRC, d.o.o. in Institut "Jožef Stefan" Ljubljana. 1999. [COBISS.SI-ID
16464167]
868.
BRATKO, Ivan, DŽEROSKI, Sašo, URBANČIČ, Tanja.
The Sixteenth International Conference on Machine Learning (ICML'99), June 27-30,
1999, Bled. 1999. [COBISS.SI-ID
16393511]
869.
URBANČIČ, Tanja, DŽEROSKI, Sašo, WEISS, Renata.
Analysis of environmental data with machine learning methods, International Seminar,
17-20 March 1998, Ljubljana. 1998. [COBISS.SI-ID
16463399]
870.
URBANČIČ, Tanja, DŽEROSKI, Sašo, WEISS, Renata.
Odkrivanje znanja iz podatkov, 16 junij 1998, Izobraževalni center za jedrsko tehnologijo
Milana Čopiča, Podgorica pri Ljubljani. 1998. [COBISS.SI-ID
16463911]
871.
URBANČIČ, Tanja, DŽEROSKI, Sašo, WEISS, Renata.
Analiza ekoloških podatkov z metodami strojnega učenja, 5-6 februar 1997, Ljubljana. 1997. [COBISS.SI-ID
16463143]
872.
URBANČIČ, Tanja, DŽEROSKI, Sašo, WEISS, Renata.
Analiza ekoloških podatkov z metodami strojnega učenja, 27-28 november 1996, Ljubljana. 1996. [COBISS.SI-ID
16463655]
3.14 Invited lecture at foreign university
873.
DŽEROSKI, Sašo.
Mining big and complex data : invited talk, Telecom ParisTech, 23 March 2016 Paris,
France. [COBISS.SI-ID
30340135]
874.
DŽEROSKI, Sašo.
Mining big and complex data, ontologies of data mining and modeling dynamic system
: invited talk, Stanford Medical Informatics,14 December 2016, Stanford, USA. [COBISS.SI-ID
30339879]
875.
DŽEROSKI, Sašo.
Machine learning for system sciences : invited talk : Bari, University of Bari Aldo
Moro, Department of Computer Science, 14. maj 2015, Bari, Italy. 2015. [COBISS.SI-ID
29232423]
876.
GLOBAS, Christoph, ŽENKO, Bernard, LUFT, Andreas, DŽEROSKI, Sašo.
Translational approach to stroke rehabilitation : invited talk. Münster: Grand Rounds, Neurology, University of Münster, 4. jul. 2012. [COBISS.SI-ID
26575399]
877.
GLOBAS, Christoph, ŽENKO, Bernard, LUFT, Andreas, DŽEROSKI, Sašo.
A translational approach to stroke rehabilitation : invited talk. London: Queensquare Hospital, University College of London, 23. feb. 2012. [COBISS.SI-ID
26575143]
878.
DŽEROSKI, Sašo.
Equation discovery for ecology and systems biology : invited talk. Nicosia: Department of Electrical and Computer Engineering, University of Cyprus,
2. maj 2011. [COBISS.SI-ID
25893671]
879.
DŽEROSKI, Sašo.
Machine learning and ontologies : invited talk. Osaka: The Institute of Scientific and Industrial Research, University of Osaka,
27. jan. 2011. [COBISS.SI-ID
24438311]
880.
DŽEROSKI, Sašo.
Machine learning in systems biology : invited talk. Skopje: Faculty of Computer Science and Engineering, "Ss. Cyril and Methodius" University,
21 nov. 2011. [COBISS.SI-ID
25894183]
881.
DŽEROSKI, Sašo.
An ontology of data mining : invited talk. Trento: Institute of Cognitive Sciences and Technologies, Italian National Research
Council, 1. jun. 2011. [COBISS.SI-ID
25893927]
882.
DŽEROSKI, Sašo.
Predictive clustering and systems biology : invited talk. London: Department of Computing/Centre for Integrative Systems Biology at Imperial
College, Imperial College, 6. apr. 2011. [COBISS.SI-ID
25893415]
883.
DŽEROSKI, Sašo.
Automatic annotation of images using ensembles of trees for hierarchical multi-label
classication : invited talk. Amsterdam: Informatics Institute, Faculty of Science,, 31. mar. 2010. [COBISS.SI-ID
24368167]
884.
DŽEROSKI, Sašo.
Environmental applications of data mining : invited talk. Bari: Universita degli Studi di Bari Aldo Moro, Dipartimento di Informatica, 14.
apr. 2010. [COBISS.SI-ID
24368423]
885.
DŽEROSKI, Sašo.
Equation discovery for ecology and systems biology : invited talk. Bari: Universita degli Studi di Bari Aldo Moro, Dipartimento di Informatica, 23.
apr. 2010. [COBISS.SI-ID
24369191]
886.
DŽEROSKI, Sašo.
Equation discovery for ecology and systems biology : invited talk. Napoli: Telethon Institute of Genetics and Medicine, 19. apr. 2010. [COBISS.SI-ID
24369447]
887.
DŽEROSKI, Sašo.
Machine learning applications in systems biology : invited talk. Leiden: Leiden University Medical Center, 29. mar. 2010. [COBISS.SI-ID
24367911]
888.
DŽEROSKI, Sašo.
Predictive clustering and its use in bioinformatics/systems biology : invited talk. Bari: Universita degli Studi di Bari Aldo Moro, Dipartimento di Informatica, 21.
apr. 2010. [COBISS.SI-ID
24368935]
889.
DŽEROSKI, Sašo.
Predictive clustering, structured-output prediction, and the analysis of data from
mi- croscopy and medical imaging : invited talk. Cambridge: The Broad Institute of MIT and Harvard, 10. dec. 2010. [COBISS.SI-ID
24369703]
890.
DŽEROSKI, Sašo.
Towards a general framework for data mining : invited talk. Bari: Universita degli Studi di Bari Aldo Moro, Dipartimento di Informatica, 16.
apr. 2010. [COBISS.SI-ID
24368679]
891.
DŽEROSKI, Sašo.
The analysis of ecological data with machine learning methods : invited talk. San Juan: University of Puerto Rico, mar. 2009. [COBISS.SI-ID
23236391]
892.
DŽEROSKI, Sašo.
Data mining and its environmental applications : invited talk. Skopje: Fakulteta za elektrotehniko in informacijske tehnologije, Univerza sv. Kiril
i Metodij, apr. 2009. [COBISS.SI-ID
23235623]
893.
DŽEROSKI, Sašo.
Equation discovery for systems biology : invited talk. Heidelberg: German Cancer Research Center: = DKFZ, maj 2009. [COBISS.SI-ID
23236135]
894.
DŽEROSKI, Sašo.
Equation discovery for systems biology : invited talk. Trento: Fondazione Bruno Kessler, mar. 2009. [COBISS.SI-ID
23236903]
895.
DŽEROSKI, Sašo.
Equation discovery for systems biology with an application in modelling endocytosis
: invited talk. Dresden: Max Planck Institute of Molecular Cell Biology and Genetics, nov. 2009.
[COBISS.SI-ID
23214375]
896.
DŽEROSKI, Sašo.
Equation discovery for systems biology with an application in modelling endocytosis
: invited talk. London: The Imperial College of Science, Technology and Medicine, nov. 2009. [COBISS.SI-ID
23214119]
897.
DŽEROSKI, Sašo.
Knowledge discovery in data with applications in agriculture and forestry : invited
talk. Novi Sad: Fakulteta za tehnične znanosti, jun. 2009. [COBISS.SI-ID
23235111]
898.
DŽEROSKI, Sašo.
Machine learning and ecological modelling : invited talk. Quebec: Laval University, okt. 2009. [COBISS.SI-ID
23234855]
899.
DŽEROSKI, Sašo.
Machine learning and ecological modelling : successes and challenges : invited talk. San Juan: University of Puerto Rico, mar. 2009. [COBISS.SI-ID
23236647]
900.
DŽEROSKI, Sašo.
Meta-analysis of high-throughput data on embryonal tumors : invited talk. Trento: Fondazione Bruno Kessler, mar. 2009. [COBISS.SI-ID
23237159]
901.
DŽEROSKI, Sašo.
Predictive clustering trees and their use in bioinformatics : invited talk. Hinxton: European Bioinformatics Institute, apr. 2009. [COBISS.SI-ID
23235367]
902.
DŽEROSKI, Sašo.
Towards a general framework for data mining : invited talk. Skopje: Fakulteta za elektrotehniko in informacijske tehnologije, Univerza sv. Kiril
i Metodij, apr. 2009. [COBISS.SI-ID
23235879]
903.
DŽEROSKI, Sašo.
Environmental applications of data mining : invited talk. Santa Barbara: School of Environmental Science and Management University of California,
1 Feb. 2008. [COBISS.SI-ID
22207783]
904.
DŽEROSKI, Sašo.
Equation discovery for systems biology : invited talk. Sheffild: Department of Computer Science, University of Sheffield, 29 May 2008.
[COBISS.SI-ID
22208039]
905.
DŽEROSKI, Sašo.
Predictive clustering trees and their use in bioinformatics : invited talk. Corvallis: School of Electrical Engineering and Computer Science, Oregon State University,
Corvallis, 8 May 2008. [COBISS.SI-ID
22208295]
906.
DŽEROSKI, Sašo.
Towards a general framework for data mining : invited talk. Corvallis: School of Electrical Engineering and Computer Science, Oregon State University,
6 May 2008. [COBISS.SI-ID
22235943]
907.
DŽEROSKI, Sašo.
Data mining and its ecological applications : invited talk. Towson: Department of Biological Sciences, Towson University, Maryland, 8 Oct. 2007.
[COBISS.SI-ID
22279975]
908.
DŽEROSKI, Sašo.
Equation discovery for systems biology : invited talk. London: Department of Mathematics, Imperial College, 14 May 2007. [COBISS.SI-ID
22279463]
909.
DŽEROSKI, Sašo.
Prediction of fire danger in the natural environment : invited talk. Leuven: Department of Computer Science, Katholieke Universiteit Leuven, 30 March
2007. [COBISS.SI-ID
22279207]
910.
DŽEROSKI, Sašo.
Predictive clustering trees and their use in bioinformatics : invited talk. Ghent: Center for Medical Genetics Ghent, Ghent University Hospital, 16 Nov. 2007.
[COBISS.SI-ID
22280743]
911.
DŽEROSKI, Sašo.
Predictive clustering trees and their use in bioinformatics : invited talk. Skopje: Faculty of Electrical Engineering and Information Technologies, University
Ss.Cyril and Methodius, 25 Oct. 2007. [COBISS.SI-ID
22280487]
912.
DŽEROSKI, Sašo.
Towards a general framework for data mining : invited talk. Stanford: Center for the Study of Language And Information, Stanford University,
Aug. 2007. [COBISS.SI-ID
22279719]
913.
DŽEROSKI, Sašo.
Towards a general framework for data mining : invited talk. Towson: Computer Science Department, University of Maryland, 9 Oct. 2007. [COBISS.SI-ID
22280231]
914.
DŽEROSKI, Sašo.
Data mining and its environmental applications : Ecosystem Informatics IGERT Colloquium. Athens, GA,USA: Department of Engineering, University of Georgia, 25 Jan. 2006.
[COBISS.SI-ID
19621415]
915.
DŽEROSKI, Sašo.
Environmental applications of machine learning : Electrical Engineering and Computer
Science Colloquium. Corvallis, OR, USA: Oregon State Univrsity, 23 Jan. 2006. [COBISS.SI-ID
19620903]
916.
DŽEROSKI, Sašo.
Inductive queries on global models : invited talk. Osaka: The Institute of Scientific and Industrial Research, University of Osaka,
28 Aug. 2006. [COBISS.SI-ID
22277671]
917.
DŽEROSKI, Sašo.
Predicting forest stand height and canopy cover from LANDSAT and LIDAR data using
data mining techniques : invited talk. Stanford: Stanford University, Computational Learning Laboratory, 25 May 2006. [COBISS.SI-ID
20050983]
918.
DŽEROSKI, Sašo.
Predicting forest stand height and canopy cover from LANDSAT and LIDAR data using
data mining techniques : invited talk. Trento, Italy: Centro per la Ricerca Scientifica e Technologica, April 2006. [COBISS.SI-ID
20051239]
919.
DŽEROSKI, Sašo.
Predictive clustering trees and their use in bioinformatics : invited talk. Cambera: Computer Sciences Laboratory, College of Engineering and Computer Science,
The Australian National University, 18 April 2006. [COBISS.SI-ID
22276903]
920.
DŽEROSKI, Sašo.
Predictive clustering trees and their use in bioinformatics : invited talk. Stanford: Stanford Medical Informatics, School of Medicine, Stanford University,
25 May 2006. [COBISS.SI-ID
22277415]
921.
DŽEROSKI, Sašo.
Predictive clustering trees and their use in bioinformatics : invited talk. Tokyo: Department of Computational Biology, Graduate School of Frontier Sciences,
University of Tokyo, Sept. 2006. [COBISS.SI-ID
22277927]
922.
DŽEROSKI, Sašo.
Predictive clustering trees and their use in bioinformatics : invited talk. Trento: Department of Information and Communication Technology, University of Trento,
April 2006. [COBISS.SI-ID
22277159]
923.
DŽEROSKI, Sašo.
Towards Macedonian language resources : invited talk. Skopje: The Macedonian Academy of Sciences and Arts, 6 Dec. 2006. [COBISS.SI-ID
22278183]
924.
DŽEROSKI, Sašo.
Using domain knowledge in equatin discovery : Ecosystem Informatics IGERT Colloquium. Corvallis, OR, USA: Oregon State University, 25 Jan. 2006. [COBISS.SI-ID
19621159]
925.
DŽEROSKI, Sašo.
Using domain knowledge In equation discovery : invited talk. Skopje: Faculty of Electrical Engineering and Information Technologies, 7 Dec. 2006.
[COBISS.SI-ID
22278439]
926.
DŽEROSKI, Sašo.
Data mining and its environmental applications. Zagreb, Croatia: Department of Electronics, "Rudjer Boskovic" Institute, 8 Dec.
2005. [COBISS.SI-ID
19620647]
927.
DŽEROSKI, Sašo.
Data mining and knowledge discovery with environmental applications. Skopje, Makedonia: Faculty of Mathematics and Natural Sciences, University Sts.
Cyril and Methodius, 13 April 2005. [COBISS.SI-ID
19620391]
928.
DŽEROSKI, Sašo.
Environmental applications of machine learning : an overview. Trento, Italy: Centro per la Ricerca Scientifica e Technologica, 24 Feb. 2005. [COBISS.SI-ID
19619879]
929.
DŽEROSKI, Sašo.
Relational data mining. Skopje, Makedonia: Faculty of Electrical Engineering, University Sts. Cyril and
Methodius, 12 April 2005. [COBISS.SI-ID
19620135]
930.
DŽEROSKI, Sašo.
Inductive queries on (frequent) patterns and (predicitive) models : invited talk. Freiburg: Albert-Ludwigs University, March 2004. [COBISS.SI-ID
22278695]
931.
DŽEROSKI, Sašo.
Modelling soil radon concentration for earthquake prediction : invited talk. Leuven: Katholieke Universiteit Leuven, May 2004. [COBISS.SI-ID
22278951]
932.
DŽEROSKI, Sašo.
Computational scientific discovery and inductive databases : invited talk. Pisa, Italia: Istituto di Sziencia e Tecnologie dell' Informazione (ISTI), Consiglio
Nazionale delle Ricerche (CNR), 19 March 2003. [COBISS.SI-ID
17449767]
933.
KOBAL, Ivan, ZMAZEK, Boris, ŽIVČIĆ, Mladen, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo, VAUPOTIČ,
Janja.
Radon in soil gas : how to identify anomalies caused by earthquakes : invited talk. Salzburg: Universität Salzburg, Institut für Physik und Biophysik, 12 Dec. 2003.
[COBISS.SI-ID
17943847]
934.
DŽEROSKI, Sašo.
Relational reinforcement learning for agents in worlds with objects : invited talk. Stanford: Stanford University, 29 April 2003. [COBISS.SI-ID
17716007]
935.
DŽEROSKI, Sašo.
Discovery ordinary and partial differential equations : invited talk. Oxford, UK: Oxford University, April 2002. [COBISS.SI-ID
17101863]
936.
DŽEROSKI, Sašo.
Is combining classifiers better than selecting the best one? : invited talk. Leuven: Department of Computer Science, Katholieke Universiteit, June 2002. [COBISS.SI-ID
17102119]
937.
DŽEROSKI, Sašo.
Is combining classifiers better than selecting the best one? : invited talk. Osaka, Japan: Osaka University, 4 Dec. 2002. [COBISS.SI-ID
17419047]
938.
DŽEROSKI, Sašo.
Is combining classifiers better than selecting the best one? : invited talk. Vienna: Austrian Research Institute for Artificial Intelligence, February 2002.
[COBISS.SI-ID
17101351]
939.
DŽEROSKI, Sašo.
Relational data mining : invited talk. Osaka, Japan: Osaka University, 5 Dec. 2002. [COBISS.SI-ID
17419303]
940.
DŽEROSKI, Sašo.
Theory revision in equation discovery : invited talk. Freiburg: Albert-Ludwigs Universität, February 2002March 2002. [COBISS.SI-ID
17101607]
941.
DŽEROSKI, Sašo.
Equation discovery for dynamic systems identification : invited talk. Stanford: Stanford University, 28 Sep. 2001. [COBISS.SI-ID
15320359]
942.
DŽEROSKI, Sašo.
Environmental applications of machine learning : invited talk. Moffet Field, California: NASA Ames Research Center, 26 Sep. 2000. [COBISS.SI-ID
15761703]
943.
DŽEROSKI, Sašo.
Applications of inductive logic programming : an overview : invited talk. London: Imperial College, Oct. 1998. [COBISS.SI-ID
15320615]
944.
DŽEROSKI, Sašo.
Environmental applications of machine learning : invited talk. New York: Department of Computer Science, University of New York, April 1998. [COBISS.SI-ID
15321127]
945.
DŽEROSKI, Sašo.
Relation reinforcement learning : invited talk. Porto: University of Porto, Oct. 1998. [COBISS.SI-ID
15320871]
946.
DŽEROSKI, Sašo, ERJAVEC, Tomaž.
Slovene natural language resources and how to learn from them using ILP : invited
talk. Grenoble: XEROX Research Center Europe, January 1998. [COBISS.SI-ID
15321383]
947.
DŽEROSKI, Sašo.
Machine learning applications in biological monitoring of river water quality : invated
lecture at School of Computing, Staffordshire University, Stafford, UK. 1997. [COBISS.SI-ID
13103143]
948.
DŽEROSKI, Sašo.
Slovene natural language resources and how to learn from them using ILP : invated
lecture at Department of Computer Science, University of York, York, UK. 1997. [COBISS.SI-ID
13103655]
949.
DŽEROSKI, Sašo.
Numerical constraints and learnability in inductive logic programming : invited talk. Sankt Augustin: XEROX Research Center Europe, May 1995. [COBISS.SI-ID
15321639]
950.
DŽEROSKI, Sašo.
Introduction to inductive logic programming : invited talk. Palo Alto, CA: XEROX Research Center Europe, Nov. 1994. [COBISS.SI-ID
15322151]
951.
DŽEROSKI, Sašo.
Learning first-order clausal theories : invited talk. Santa Cruz: Department of Computer Sceince, University of California at Santa Cruz,
January 1994. [COBISS.SI-ID
15321895]
952.
DŽEROSKI, Sašo.
Dynamical system identification with machine learning : invited talk. Leuven: Department of Computer Science, Katholieke Universiteit Leuven, Nov. 1993.
[COBISS.SI-ID
15322663]
953.
DŽEROSKI, Sašo.
First order - clausal theories are PAC-learnable : invited talk. Leuven: Department of Computer Science, Katholieke Universiteit Leuven, Dec. 1993.
[COBISS.SI-ID
15322919]
954.
DŽEROSKI, Sašo.
Inductive logic programming for knowledge discovery in databases : an overview : invited
talk. Murray Hill, NJ: AT/&T Bell Laboratories, July 1993. [COBISS.SI-ID
15322407]
3.15 Unpublished conference contribution
955.
LEVATIĆ, Jurica, KOCEV, Dragi, CECI, Michelangelo, DŽEROSKI, Sašo.
Semi-supervised predictive clustering trees for multi-target regression : presented
at Spring Workshop on Mining and Learning, February 3-5, 2016, Titisee, Germany. 2016. [COBISS.SI-ID
29328679]
956.
BRESKVAR, Martin, DŽEROSKI, Sašo.
Analysis of ADNI data with predictive clustering trees : 2nd HBP Education Workshop,
15-18 March 2015, Lausanne, CH. 2015. [COBISS.SI-ID
29383207]
957.
PETKOVIĆ, Matej, PANOV, Panče, DŽEROSKI, Sašo.
Improved ranking of numeric features with ReliefF : presented at the Workshops on
Machine Learning in Computational Biology (MLCB) & Machine Learning in Systems Biology
(MLSB) 2015, Montreal, Canada. 2015. [COBISS.SI-ID
29101863]
958.
MILESKI, Vanja, KOCEV, Dragi, DRAGANSKI, Bogdan, DŽEROSKI, Sašo.
Multi-dimensional analysis of PPMI data : 3rd HBP Education Workshop, 11-14 January
2016, Manchester, UK. 2015. [COBISS.SI-ID
29383463]
959.
OSOJNIK, Aljaž, DŽEROSKI, Sašo.
Predicting structured values from data streams using Incremental Structured Output
Prediction Trees (iSOUP-Trees) : 2nd HBP Education Workshop, 15-18 March 2015, Lausanne,
CH. 2015. [COBISS.SI-ID
29337639]
960.
OSOJNIK, Aljaž, DŽEROSKI, Sašo.
Tree-based hierarchical classification and regression on data streams : Spring Machine
Learning Workshop 2016, 3-5 February 2016, Titisee, DE. 2015. [COBISS.SI-ID
29338151]
961.
OSOJNIK, Aljaž, ŽENKO, Bernard, DŽEROSKI, Sašo.
Using data stream mining for distributed privacy-preserving discovery of disease signatures
: Human Brain Project Summit, 26-30 September 2015, Madrid, Spain. 2015. [COBISS.SI-ID
29337895]
962.
LEVATIĆ, Jurica, DŽEROSKI, Sašo.
Learning multi-target QSAR models for prediction of cytochrome P450 substrates and
inhibitors by using predictive clustering trees : presented at OpenTox Euro 2013 Conference,
30 September-2 October, 2013, Mainz, Germany. [COBISS.SI-ID
27287335]
963.
MASSÉ, F., PARASCHIV-IONESCU, A., ŽENKO, Bernard, DŽEROSKI, Sašo, AMINIAN, K.
Lifestyle evaluation using wearable technologies : opportunities for stroke patients
: presented at ICNR 2012, 1st International Conference on on Neurorehabilitation.
14-16 November 2012, Toledo, Spain. 2012. [COBISS.SI-ID
26573607]
964.
DEBELJAK, Marko, ALEKSOVSKI, Darko, LEVATIĆ, Jurica, KOCEV, Dragi, DŽEROSKI, Sašo.
Predicting biological community structure from environmental conditions by using predictive
clustering trees : presented 11th INTECOL Congress, Ecology - Into the next 100 years,
18-23 August 2013, London, UK. 2013. [COBISS.SI-ID
27287079]
965.
GLOBAS, Christoph, ŽENKO, Bernard, LUFT, Andreas, DŽEROSKI, Sašo.
From recovery to rehabilitation : NCCR Ending Symposium, 15 June 2012, Zurich, CH. 2012. [COBISS.SI-ID
26574631]
966.
DŽEROSKI, Sašo.
Learning from spatio-temporal data : advances and directions : Spring Workshop on
Mining and Learning, 18-20 April, 2012, Bad Neuenahr, Germany. 2012. [COBISS.SI-ID
26134567]
967.
GLOBAS, Christoph, ŽENKO, Bernard, LUFT, Andreas, DŽEROSKI, Sašo.
Motor rehabilitation therapy after focal brain injury : Neurocritical Care Symposium,
22 June 2012, Versailles, France. 2012. [COBISS.SI-ID
26574887]
968.
GLOBAS, Christoph, ŽENKO, Bernard, DŽEROSKI, Sašo, LUFT, Andreas, DŽEROSKI, Sašo.
Predicting disability\newline and quality of life after ischemic stroke : Spring Workshop
on Mining and Learning, 18-20 April, 2012, Bad Neuenahr, Germany. 2012. [COBISS.SI-ID
26134311]
969.
KOCEV, Dragi, MADŽAROV, Gjorgji, GJORGJEVIKJ, Dejan, DŽEROSKI, Sašo.
Random forests of predictive clustering trees for multi-label learning : Spring Workshop
on Mining and Learning, 18-20 April, 2012, Bad Neuenahr, Germany. 2012. [COBISS.SI-ID
25823527]
970.
GLOBAS, Christoph, ŽENKO, Bernard, LUFT, Andreas, DŽEROSKI, Sašo.
Stroke recovery and outcome prediction : Zurich Stroke Symposium, 15 March 2012, Zurich,
CH. 2012. [COBISS.SI-ID
26574375]
971.
DŽEROSKI, Sašo.
Machine learning for systems biology : tutorial presented at 12th International Conference
on Systems Biology, ICSB 2011, August 28th - September 1st, 2011, Heidelberg, Germany. 2011. [COBISS.SI-ID
25548583]
972.
GLOBAS, Christoph, ŽENKO, Bernard, LUFT, Andreas, DŽEROSKI, Sašo.
Translational approach to stroke rehabilitation : European Stroke Science Workshop,
17 December 2011, Garmish, Gemany. 2011. [COBISS.SI-ID
26574119]
973.
DIMITROVSKI, Ivica, KOCEV, Dragi, LOSKOVSKA, Suzana, DŽEROSKI, Sašo.
Tree ensembles for hierarchical annotation of medical images : Spring Workshop on
Mining and Learning, 16-19 March 2010, Boppard, Germany. 2010. [COBISS.SI-ID
25823783]
974.
ŠKUNCA, Nives, SUPEK, Fran, PANOV, Panče, DŽEROSKI, Sašo, ŠMUC, Tomislav.
Functional annotation of orthologous groups by using hierarchical multi label classification
: presented at 17th Annual International Conference on Intelligent Systems for Molecular
Biology (ISMB) and 8th European Conference on Computational Biology (ECCB), June 27
- July 2, 2009. 2009. [COBISS.SI-ID
22780455]
975.
KOCEV, Dragi, DŽEROSKI, Sašo, NEWELL, Graeme R., WHITE, Matt D., GRIFFIOEN, Peter.
Ensembles for multi-target predictions at work : modelling a compound index of vegetation
condition : Spring Workshop on Mining and Learning, 22-25.4.2008, Traben-Trarbach,
Germany. 2008. [COBISS.SI-ID
25823271]
976.
SCHIERGAT, Leander, VENS, Celine, STRUYF, Jan, KOCEV, Dragi, DŽEROSKI, Sašo, BLOCKEEL,
Hendrik.
Predicting gene function in S. cerevisiae and A. thaliana using hierarchical multi-label
decision tree ensembles : BioSapiens Network of Excellence Workshop: From Genome to
Proteome and Biological Function, 2 April 2008, Brussels, Belgium. 2008. [COBISS.SI-ID
25824039]
977.
SCHIERGAT, Leander, VENS, Celine, STRUYF, Jan, KOCEV, Dragi, DŽEROSKI, Sašo, BLOCKEEL,
Hendrik.
Predicting gene function in S. cerevisiae and A. thaliana using hierarchical multi-label
decision tree ensembles : European Conference on Computational Biology, 22-26 September
2008, Cagliari, Italy. 2008. [COBISS.SI-ID
25824551]
978.
SCHIERGAT, Leander, VENS, Celine, STRUYF, Jan, KOCEV, Dragi, DŽEROSKI, Sašo, BLOCKEEL,
Hendrik.
Predicting gene function in S. cerevisiae and A. thaliana using hierarchical multi-label
decision tree ensembles : Spring Workshop on Mining and Learning, 22-25 April 2008,
Traben-Trarbach, Germany. 2008. [COBISS.SI-ID
25824295]
979.
DŽEROSKI, Sašo.
Towards a general framework for data mining : presented at Spring Workshop on Mining
and Learning, SML2008, Traben-Trarbach, 23 April 2008, Germany. 2008. [COBISS.SI-ID
22266151]
980.
GJORGJIOSKI, Valentin, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo.
A parallel implementation of the LAGRAMGE approach to process-based modeling : presented
at ICML 2007 International Conference on Machine Learning: First International Workshop
on the Induction of Process Models, 20-24 June 2007, Corvallis, OR, USA. 2007. [COBISS.SI-ID
21253671]
981.
DEBELJAK, Marko, CORTET, Jérôme, DEMŠAR, Damjan, DŽEROSKI, Sašo, KROGH, Paul Henning.
Effects of genetically modified Bt maize on earthworms and Collembola functional groups
: presented at ICABR, 10th International Conference on Agricultural Biotechnology:
Facts, analysis and policies, 29 Juny - 2 July 2006, Ravello, Italy. 2006. [COBISS.SI-ID
20077607]
982.
DEBELJAK, Marko, COLBACH, Nathalie, TRAJANOV, Aneta, PANOV, Panče, DŽEROSKI, Sašo.
Modeling co-existence of growing conventional and GM crops by up-scaling process :
presented at 2nd Workshop on Ecological Indicators "Methods and instruments for the
scientifically sound use of landscape and socio-ecological indicators", 16-19 May,
2006, Menaggio, Como, Italy. 2006. [COBISS.SI-ID
19877671]
983.
DŽEROSKI, Sašo, KOBLER, Andrej, GJORGJIOSKI, Valentin, PANOV, Panče.
Predicting forest stand height and canopy cover from LANDSAT and LIDAR data using
data mining techniques : peresented at Second NASA Data Mining Workshop: Issues and
Applications in Earth Science, May 23-24, 2006, Pasadena, PA. 2006. [COBISS.SI-ID
20051495]
984.
BOHANEC, Marko, MESSÉAN, Antoine, SCATASTA, Sara, ANGEVIN, Frédérique, ŽNIDARŠIČ,
Martin, DŽEROSKI, Sašo.
A qualitative multi-attribute model for economic and ecological assessment of GM and
non-GM maize cropping systems : presented at ICABR, 10th International Conference
on Agricultural Biotechnology: Facts, analysis and policies, 29 Juny - 2 July 2006,
Ravello, Italy. 2006. [COBISS.SI-ID
20078119]
985.
DEBELJAK, Marko, TRAJANOV, Aneta, PANOV, Panče, DŽEROSKI, Sašo, COLBACH, Nathalie.
Up-scaling GENESYS outputs on regional level : presented at Effects of Genetically
Modified Organisms to the Landscape Level Workshop, 30-31 Jan. 2006, Bremen, Germany. 2006. [COBISS.SI-ID
19895591]
986.
TODOROVSKI, Ljupčo, DŽEROSKI, Sašo.
Combining multiple models with meta decision trees : presented at SCML, European Conference
on Machine Learning, May 30 - June 2, Barcelona, Catalonia, Spain. 2000. [COBISS.SI-ID
15302951]
987.
DŽEROSKI, Sašo, LAVRAČ, Nada.
Introduction to inductive logic programming and its applications : invited talk at
the Summer School on Inductive Logic Programming and Knowledge Discovery in Databases,
Praga, September 15th. 1997. [COBISS.SI-ID
12832039]
3.16 Unpublished invited conference lecture
988.
DŽEROSKI, Sašo.
An introduction to mining big and complex data : Summer School on Mining Big and Complex
Data, 4-8- September 2016, Ohrid, Macedonia. [COBISS.SI-ID
30338855]
989.
DŽEROSKI, Sašo.
Learning from massive, incompletely annotated and structured data : presented at Spring
Machine Learning Workshop, 3-5 February 2016 Titisee, Germany. [COBISS.SI-ID
30339623]
990.
DŽEROSKI, Sašo, PANOV, Panče.
Ontologies for data mining : 16ème Conférence Internationale Francophone sur lʼExtraction
et la Gestion des Connaissances, 18-22 Janvier 2016, Reims, France. 2016. [COBISS.SI-ID
29201191]
991.
DŽEROSKI, Sašo.
Selected environmental applications of structured output prediction : Summer School
on Mining Big and Complex Data, 4-8 September 2016, Ohrid, Macedonia. [COBISS.SI-ID
30339367]
992.
DŽEROSKI, Sašo.
Structured output prediction on data streams : Summer School on Mining Big and Complex
Data, 4-8- September 2016, Ohrid, Macedonia. [COBISS.SI-ID
30339111]
993.
CECI, Michelangelo, DŽEROSKI, Sašo.
Advanced topics in predicting structured outputs : ECML/PKDD-2015 Summer School on
Data Sciences for Big Data, September 5, 2015, Porto, Portugal. 2015. [COBISS.SI-ID
29382439]
994.
DŽEROSKI, Sašo.
Predictive clustering for finding disease signatures : 2nd Human Brain Project Workshop
"Future Medicine -Medical Intelligence", March 16, 2015, Lausanne, Switzerland. 2015. [COBISS.SI-ID
29382695]
995.
DŽEROSKI, Sašo.
Reinforcement Learning : ROBOMAC 2016, March 11, 2016 Skopje, Macedonia. 2015. [COBISS.SI-ID
29382951]
996.
DŽEROSKI, Sašo.
Equation discovery for ecology and systems : presented at BeneLearn 10, The Annual
Machine Learning Conference of Belgium and The Netherlands, May 27th - 28th, 2010,
Leuven, Belgium. 2010. [COBISS.SI-ID
23674407]
997.
DŽEROSKI, Sašo.
Knowledge discovery in environmental data : presented at ISEI7, 7th International
Conference on Ecological Informatics, 13-16 December 2010, Ghent, Belgium. 2010. [COBISS.SI-ID
24312871]
998.
DŽEROSKI, Sašo.
Constraint-based data mining and inductive queries : presented at Eleventh International
Conference on Discovery Science (DS-2008), 13-16 October 2008, Budapest, Hungary. 2008. [COBISS.SI-ID
22215719]
999.
ŽENKO, Bernard, DŽEROSKI, Sašo, KOBAL, Alfred Bogomir, KOBAL GRUM, Darja, ARNERIĆ,
Niko, OSREDKAR, Joško, HORVAT, Milena.
Relating personality traits and mercury exposure in miners with machine learning methods
: predavanje na Seventh workshop on mining scientific and engineering datasets. Lake Buena Vista, FL, April 24, 2004. [COBISS.SI-ID
1665393]
3.25 Other performed works
1000.
DŽEROSKI, Sašo, BLOCKEEL, Hendrik, Programme chairs.
4th International Workshop on Multi-relational Data Mining (MRDM-2005) [as part of]
Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,
KDD-2005, August 21, 2005, Chicago, Illinos, USA : Chicago, Illinos, USA, August 21,
2005. 2005. [COBISS.SI-ID
19610151]
1001.
DŽEROSKI, Sašo, Member of the Organizing commiteee.
Twenty-Second International Conference on Machine Learning : Bonn, Germany, 7-11 August,
2005. 2005. [COBISS.SI-ID
19610407]
1002.
DŽEROSKI, Sašo, Member of the Program committee.
7th Workshop on Mining Scientific and Engineering Datasets (MSD04) : April 24, 2004,
held in conjunction with 4th SIAM International Conference on Data Mining, the Hilton
at the Walt Disney World Resort, Lake Buena Vista, Fl. 2004. [COBISS.SI-ID
18200615]
1003.
DŽEROSKI, Sašo, LAVRAČ, Nada, TODOROVSKI, Ljupčo, Members of the Program Committee.
ECML/PKDD 2004 : 15th European Conference on Machine Learning (ECML), 8th European
Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD),
Pisa Italy, September 20-24,2004 : proceedings of the Workshop W8 on Advances in Inductive
Rule Learning. 2004. [COBISS.SI-ID
18501159]
1004.
DŽEROSKI, Sašo, LAVRAČ, Nada, Members of the Program committee.
Inductive logic programming, 14th International Conference, ILP 2004September 6-8,
2004, Porto, Portugal. 2004. [COBISS.SI-ID
18573095]
1005.
URBANČIČ, Tanja, DŽEROSKI, Sašo, WEISS, Renata, WEISSBACHER, Romana, ŽENKO, Bernard,
Organizers.
Analysis of environmental data with machine learning methods. I. : Ljubljana, 26-29
May 2003. 2003. [COBISS.SI-ID
17890599]
1006.
URBANČIČ, Tanja, DŽEROSKI, Sašo, WEISS, Renata, WEISSBACHER, Romana, ŽENKO, Bernard,
Organizers.
Analysis of environmental data with machine learning methods. II. : Ljubljana, 26-29
May 2003. 2003. [COBISS.SI-ID
17890855]
1007.
URBANČIČ, Tanja, DŽEROSKI, Sašo, SITAR, Špela, ŽENKO, Bernard.
Analysis of Environmental Data with Machine Learning Methods, 22-25 April 2002, Ljubljanae. 2002. [COBISS.SI-ID
17103399]
1008.
DŽEROSKI, Sašo, DE RAEDT, Luc, WROBEL, Stefan.
Proceedings of the Workshop on Multi-Relational Data Mining,(MRDM-2002), Eight ACM
SIGKDD Interntional Conference on Knowledge Discovery and Data Mining (KDD-2002),
23 July 2002, Edmonton, Canada. 2002. [COBISS.SI-ID
17100839]
1009.
DŽEROSKI, Sašo, ELOMAA, Tapio, ŽENKO, Bernard.
Summer school on Relational Data Mining Helsinki, Finland, 17-18 August 2002. 2002. [COBISS.SI-ID
17101095]
1010.
GIRAUD-CARRIER, Christophe, LAVRAČ, Nada, MOYLE, Steve, BOHANEC, Marko, DŽEROSKI,
Sašo, GROBELNIK, Marko, MLADENIĆ, Dunja, TODOROVSKI, Ljupčo.
ECML/PKDD01 Workshop : integrating aspects of data mining, decision support and meta-learning
(IDDM-2001) : positions, developments and future directions. 2001. [COBISS.SI-ID
16149799]
SECONDARY AUTHORSHIP
Editor
1012.
Data mining and knowledge discovery. DŽEROSKI, Sašo (member of editorial board 1997-). Boston MA; Dordrecht; London:
Kluwer Academic Publishers, 1997-. ISSN 1384-5810. [COBISS.SI-ID
14278183]
1013.
Ecological informatics. DŽEROSKI, Sašo (member of editorial board 2004-). Amsterdam: Elsevier. ISSN 1574-9541.
[COBISS.SI-ID
23488295]
1015.
Journal of intelligent information systems. DŽEROSKI, Sašo (member of editorial board 2015-). Boston: Kluwer Academic Publishers,
1992-. ISSN 0925-9902. [COBISS.SI-ID
15633157]
1016.
Journal of machine learning research. DŽEROSKI, Sašo (member of editorial board 2000-). [Print ed.]. Cambridge (MA): MIT
Press, 2001-. ISSN 1532-4435.
http://jmlr.csail.mit.edu/. [COBISS.SI-ID
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1017.
Machine learning. DŽEROSKI, Sašo (member of editorial board 2002-). [Print ed.]. Norwell (MA); Dordrecht:
Kluwer Academic Publishers, 1986-. ISSN 0885-6125. [COBISS.SI-ID
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1018.
KRALJ NOVAK, Petra (editor), ŠMUC, Tomislav (editor), DŽEROSKI, Sašo (editor).
Discovery Science : 22nd International Conference, DS 2019, Split, Croatia, October
28-30, 2019, : proceedings. Cham: Springer, 2019. XXIII, 546 str. Lecture notes in computer science, Lecture
notes in artificial intelligence, 11828. ISBN 978-3-030-33778-0, ISBN 978-3-030-33778-0.
ISSN 0302-9743.
https://link.springer.com/book/10.1007%2F978-3-030-33778-0. [COBISS.SI-ID
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1019.
ALTUN, Yasemin (editor), MIELIKÄINEN, Taneli (editor), DŽEROSKI, Sašo (editor), MALERBA,
Donato (editor), STEFANOWSKI, Jerzy (editor), READ, Jesse (editor), ŽITNIK, Marinka
(editor), CECI, Michelangelo (editor), DAS, Kamalika (editor).
Machine learning and knowledge discovery in databases : European conference, ECML
PKDD 2017 : Skopje, Macedonia, September 18-22, 2017 : proceedings. part III. Cham: Springer, 2017. XXXV, 448 str., ilustr. Lecture notes in artificial intelligence,
Lecture notes in artificial intelligence, LNAI 10536. ISBN 978-3-319-71272-7, ISBN
978-3-319-71273-4. ISSN 0302-9743. [COBISS.SI-ID
31156775]
1020.
CECI, Michelangelo (editor), TODOROVSKI, Ljupčo (editor), DŽEROSKI, Sašo (editor).
Machine learning and knowledge discovery in databases : European Conference, ECML
PKDD 2017 Skopje, Macedonia, September 18-22, 2017. Part II. Cham: Springer, 2017. XXXIII, 866 str., ilustr. Lecture notes in artificial intelligence,
Lecture notes in artificial intelligence, LNAI 10535. ISBN 978-3-319-71245-1, ISBN
978-3-319-71246-8. ISSN 0302-9743. [COBISS.SI-ID
31156263]
1021.
CECI, Michelangelo (editor), TODOROVSKI, Ljupčo (editor), DŽEROSKI, Sašo (editor).
Machine learning and knowledge discovery in databases : European Conference, ECML
PKDD 2017, Skopje, Macedonia, September 18-22, 2017. Part I : proceedings. Cham: Springer, 2017. LXIII, 852 str., ilustr. Lecture notes in artificial intelligence,
Lecture notes in artificial intelligence, LNAI 10534. ISBN 978-3-319-71248-2, ISBN
978-3-319-71249-9. ISSN 0302-9743. [COBISS.SI-ID
31153447]
1022.
DŽEROSKI, Sašo (editor), PANOV, Panče (editor), KOCEV, Dragi (editor), TODOROVSKI,
Ljupčo (editor).
Discovery science : 17th International Conference, DS 2014, Bled, Slovenia, October
8-10 : proceedings. Heidelberg [etc.]: Springer, 2014. XXI, 364 str., ilustr., graf. prikazi. Lecture
notes in computer science, Lecture notes in artificial intelligence, 8777. ISBN 978-3-319-11811-6,
ISBN 978-3-319-11812-3. ISSN 0302-9743. DOI:
10.1007/978-3-319-11812-3. [COBISS.SI-ID
27983655]
1023.
DŽEROSKI, Sašo (editor), GOETHALS, Bart (editor), PANOV, Panče (editor).
Inductive databases and constraint-based data mining. New York [etc.]: Springer, 2010. XVII, 456 str., graf. prikazi, tabele. ISBN 978-1-4419-7737-3,
ISBN 978-1-4899-8217-9. [COBISS.SI-ID
24215079]
1024.
DŽEROSKI, Sašo (editor), ROGERS, Simon (editor), SANGUINETTI, Guido (editor).
Machine learning in system biology : proceedings of the Fourth International Workshop
[ICSB 2010], Edinburgh, Scotland, October 15-16, 2010. [s. l.: s. n.], 2010. 176 str., ilustr. [COBISS.SI-ID
24049959]
1025.
DŽEROSKI, Sašo (editor), GEURTS, Pierre (editor), ROUSU, Juho (editor).
Proceedings of the Third International Workshop on Machine Learning in Systems Biology,
September 5-6, 2009, Ljubljana, Slovenia. Cambridge: MIT Press, 2010. 1 zv. Journal of machine learning research, vol. 8,
2010. ISSN 1533-7928. [COBISS.SI-ID
24513831]
1026.
DŽEROSKI, Sašo (editor), LAVRAČ, Nada (editor).
Relational data mining. Berlin; Heidelberg: Springer, cop. 2010. XIX, 398 str., ilustr. ISBN 978-3-642-07604-6.
[COBISS.SI-ID
256874496]
1027.
DŽEROSKI, Sašo (editor), GEURTS, Pierre (editor), ROUSU, Juho (editor).
Machine learning in systems biology : proceedings of the Third International Workshop,
September 5-6, 2009, Ljubljana, Slovenia. Helsinki: Department of Computer Science, University, 2009. 180 str., ilustr. Julkaisusarja
- Helsingin yliopisto. Tietojenkäsittelytieteen laitos, report B-2009-1. ISBN 978-952-10-5699-4.
ISSN 1458-4786. [COBISS.SI-ID
22827559]
1028.
DŽEROSKI, Sašo (editor), TODOROVSKI, Ljupčo (editor).
Computational Discovery of Scientific Knowledge : Introduction, Techniques, and Applications
in Environmental and Life Sciences. Berlin; Heidelberg: Springer, 2007. Lecture Notes in Computer Science, 4660. ISBN
978-3-540-73920-3. ISSN 0302-9743. DOI:
10.1007/978-3-540-73920-3. [COBISS.SI-ID
32887301]
1029.
DŽEROSKI, Sašo (editor), TODOROVSKI, Ljupčo (editor).
Computational discovery of scientific knowledge : introduction, techniques, and applications
in environmental and life sciences. Berlin; Heidelberg: Springer, 2007. X, 326 str., ilustr. Lecture notes in computer
science, Lecture notes in artifical intelligence, 4660, State-of-the-art-survey. ISBN
978-3-540-73919-7, ISBN 3-540-73919-X. ISSN 0302-9743. [COBISS.SI-ID
20974631]
1030.
DŽEROSKI, Sašo (editor), STRUYF, Jan (editor), 5th International Workshop, KDID 2006,
Berlin, Germany, September 2006, [in conjunction with ECML/PKDD 2006, 17th European
Conference on Machine Learning and the 10th European Conference on Principles and
Practice of Knowledge Discovery in Databases].
Knowledge discovery in inductive databases. Berlin; Heidelberg; New York: Springer, 2007. X, 300 str., ilustr. Lecture notes
in computer science, vol. 4747. ISBN 3-540-75548-9, ISBN 978-3-540-75548-7. ISSN 0302-9743.
[COBISS.SI-ID
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1031.
DŽEROSKI, Sašo (editor), STRUYF, Jan (editor), 17th European Conference on Machine
Learning (ECML) and 10th European Conference on Principles and Practice of Knowledge
Discovery in Databases (PKDD), September 18th - 22nd, 2006, Berlin, Germany.
Proceedings of the 5th International workshop on Knowledge discovery in inductive
database. [S.l.: s. n.], 2006. VI, 142 str., graf. prikazi, ilustr. [COBISS.SI-ID
20159783]
1032.
DEBELJAK, Marko (editor), DŽEROSKI, Sašo (editor), ŽENKO, Bernard (editor).
Selected papers from the Fourth European Conference on Ecological Modelling, September
27-October 1, 2004, Bled, Slovenia. Amsterdam: Elsevier, 2006. 328 str., graf. prikazi. Ecological modelling, vol. 194,
issues 1-3, 2006. ISSN 0304-3800. [COBISS.SI-ID
19819047]
1033.
DŽEROSKI, Sašo (guest editor), ŽENKO, Bernard (guest editor), DEBELJAK, Marko (guest
editor).
Selected papers from the Fourth International Workshop on Environmental Applications
of Machine Learning, September 27 - October 1,2004, Bled, Slovenia : special issue. Amsterdam: Elsevier, 2006. 196 str., ilustr. Ecological modelling, vol. 191, issue
1, 2006. ISSN 0304-3800. [COBISS.SI-ID
19690279]
1034.
The journal of artificial intelligence research. DŽEROSKI, Sašo (member of editorial board 2002-2005). San Francisco, Calif.: Morgan
Kaufmann Publishers. ISSN 1076-9757. [COBISS.SI-ID
17204775]
1035.
DŽEROSKI, Sašo (editor), BLOCKEEL, Hendrik (editor).
KDD 2005 : [proceedings of the 4th International Workshop on Multi-relational Data
Mining (MRDM-2005) [as part of] Eleventh ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining, KDD-2005] : Chicago, Illinos, USA, August 21, 2005. [S.l.: s.n.], 2005. 74 str., graf. prikazi. [COBISS.SI-ID
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1036.
DŽEROSKI, Sašo (editor), DEBELJAK, Marko (editor), ŽENKO, Bernard (editor), The Fourth
European Conference on Ecological Modelling - ECEM 2004, Bled, Slovenia, September
27 - October 1, 2004.
Proceedings. Ljubljana: Jožef Stefan Institute, 2004. XII, 136 str., ilustr. ISBN 961-6303-60-0.
[COBISS.SI-ID
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1037.
DŽEROSKI, Sašo (editor), ŽENKO, Bernard (editor), DEBELJAK, Marko (editor), The Fourth
International Workshop on Environmental Applications of Machine Learning (EAML 2004),
Bled, Slovenia, September 27-October 1, 2004.
Proceedings. Ljubljana: Jožef Stefan Institute, 2004. XII, 70 str., ilustr. ISBN 961-6303-59-7.
[COBISS.SI-ID
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1038.
DŽEROSKI, Sašo (editor), BLOCKEEL, Hendrik (editor).
Proceedings of the 3rd International Workshop on Multi-Relational Data Mining (MRDM-2004)
[as a part of the] Tenth ACM SIGKDD International Conference on Knowledge Discovery
and Data Mining (KDD-2004) : Seattle, Washington, USA, August 22, 2004. [S.l.: s.n.], 2004. 73 str., ilustr. [COBISS.SI-ID
18713895]
1039.
BOULICAUT, Jean-François (editor), DŽEROSKI, Sašo (editor).
Proceedings of the 2nd International Workshop on Knowledge Discovery in Inductive
Databases (KDID-2003) : the 14th European Conference on Machine Learning and the 7th
European Conference on Principles and Practice of Knowledge Discovery in Databases
(ECML/PKDD-2003) : Cavtat/Dubrovnik, Croatia, 22 September 2003. Zagreb: Institut Ruđer Bošković, 2003. 129 str., ilustr. ISBN 953-6690-34-9. [COBISS.SI-ID
17843751]
1040.
DŽEROSKI, Sašo (editor), RAEDT, Luc de (editor), WROBEL, Stefan (editor).
Proceedings of the 2nd International Workshop on Multi-Relational Data Mining (MRDM-2003). [S.l.: s.n.], 2003. 150 str., graf. prikazi. [COBISS.SI-ID
17661479]
1041.
DŽEROSKI, Sašo (editor), RAEDT, Luc de (editor).
Special issue on Multi-relational Data Mining, 27 August 2003, Monroe West, USA. Washington: ACM, 2003. 1 zv. SIGKDD explorations, vol. 5, no. 1, 2003. ISSN 1931-0145.
[COBISS.SI-ID
23480615]
1042.
DŽEROSKI, Sašo (editor), DE RAEDT, Luc (editor), WROBEL, Stefan (editor), Eight ACM
SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2002),
Edmonton, Canada, 23 July 2002.
Proceedings of the Workshop on Multi-Relational Data Mining, (MRDM-2002) : [workshop
notes]. [S.l.]: ACM, 2002. 141 str., ilustr. [COBISS.SI-ID
17100071]
1043.
LAVRAČ, Nada, DŽEROSKI, Sašo, DŽEROSKI, Sašo (editor), ŽENKO, Bernard (editor).
Summer school on relational data mining : lecture notes : Helsinki, Finland, 17-18
August 2002. Helsinki: University of Helsinki, 2002. ilustr. [COBISS.SI-ID
16926759]
1044.
DŽEROSKI, Sašo (editor), LAVRAČ, Nada (editor).
Relational data mining. Berlin [etc.]: Springer, 2001. XV, 398 str., ilustr. ISBN 3-540-42289-7. [COBISS.SI-ID
16146471]
1045.
FLACH, Peter A. (editor), DŽEROSKI, Sašo (editor).
Special issue on inductive logic programming, June 1999, Bled, Slovenia. Norwell: Kluwer Academic Publishers, 2001. 1 zv. Machine learning, vol. 44, no.
3, 2001. ISSN 0885-6125. [COBISS.SI-ID
23480871]
1046.
CUSSENS, James (editor), DŽEROSKI, Sašo (editor).
Learning language in logic. Berlin [etc.]: Springer, 2000. X, 299 str., graf. prikazi. Lecture notes in computer
science, 1925, Lecture notes in artificial intelligence. ISBN 3-540-41145-3. [COBISS.SI-ID
15543335]
1047.
DŽEROSKI, Sašo (editor).
Inductive logic programming : 9th International Workshop, ILP-99, Bled, Slovenia,
June 1999 : proceedings. Berlin [etc.]: Springer, 1999. VIII, 302 str., ilustr. Lecture notes in computer
science, 1634, Lecture notes in artificial inteligence. ISBN 3-540-66109-3. ISSN 0302-9743.
[COBISS.SI-ID
14214183]
1048.
BRATKO, Ivan (editor), DŽEROSKI, Sašo (editor).
Machine learning : proceedings of the Sixteenth International Conference (ICML '99),
Bled, Slovenia, June 27 - 30, 1999. San Francisco: M. Kaufmann, 1999. XII, 525 str., ilustr., tabele. ISBN 1-55860-612-2.
[COBISS.SI-ID
99442688]
1049.
LAVRAČ, Nada (guest editor), DŽEROSKI, Sašo (guest editor), NUMAO, M. (guest editor).
Special issue on Inductive logic programming. Tokyo; Ohmhsa: Springer-Verlag, 1999. 1 zv. New generation computing, vol. 17, no.
1, 1999. ISSN 0288-3635. [COBISS.SI-ID
23490855]
1050.
DŽEROSKI, Sašo (guest editor), LAVRAČ, Nada (guest editor).
Special issue on Inductive logic programming. Boston; Dordrecht; London: Kluwer, 1999. 1 zv. Data mining and knowledge discovery,
vol. 3, no. 1, 1999. ISSN 1384-5810. [COBISS.SI-ID
23490599]
1051.
LAVRAČ, Nada (editor, author of introduction, etc.), DŽEROSKI, Sašo (editor), 7th
International Workshop, ILP-97, Prague, Czech Republic, September 1997.
Inductive logic programming : proceedings. Berlin [etc.]: Springer, 1997. VIII, 308 str., ilustr. Lecture notes in computer
science, Lecture notes in artificial inteligence, 1297. ISBN 3-540-63514-9. ISSN 0302-9743.
[COBISS.SI-ID
12579623]
Mentor for Doctoral Dissertations
1052.
PETKOVIĆ, Matej.
Feature ranking for structured output prediction : doctoral dissertation = Rangiranje
značilk za napovedovanje strukturiranih vrednosti : doktorska disertacija. Ljubljana: [M. Petković], 2020. XIX, 303 str., [196] str. pril., ilustr. [COBISS.SI-ID
33480707]
1053.
NIKOLOSKI, Stevanche.
Structured output prediction and modeling soil functions : doctoral dissertation =
Napovedovanje strukturiranih vrednosti in modeliranje funkcij tal : doktorska disertacija. Ljubljana: [S. Nikoloski], 2020. XIX, 181 str., [56] str. pril., ilustr. [COBISS.SI-ID
43923715]
1054.
BRESKVAR, Martin.
Tree and rule ensembles for multi-target prediction with random output subspaces :
doctoral dissertation = Ansambli dreves in pravil za večciljno napovedovanje z naključno
izbranimi izhodnimi podprostori : doktorska disertacija. Ljubljana: [M. Breskvar], 2019. XXV, 147 str., ilustr. [COBISS.SI-ID
32324647]
1055.
LEVATIĆ, Jurica.
Semi-supervised learning for structred output prediction : doctoral dissertation =
Polnadzorovano učenje za napovedovanje strukturiranih vrednosti : doktorska disertacija. Ljubljana: J. Levatić], 2017. XXXI, 163 str., ilustr. [COBISS.SI-ID
290735616]
1056.
OSOJNIK, Aljaž.
Structured output prediction on data streams : doctoral dissertation = Napovedovanje
strukturiranih vrednosti na podatkovnih tokovih : doktorska disertacija. Ljubljana: [A. Osojnik], 2017. XXV, 175 str., ilustr. [COBISS.SI-ID
294482944]
1057.
TANEVSKI, Jovan.
Deterministic and stochastic process-based modeling and design of dynamic systems
in biology : doctoral dissertation = Deterministično in stohastično procesno modeliranje
in načrtovanje dinamičnih sistemov v biologiji : doktorska disertacija. Ljubljana: [J. Tanevski], 2016. XV, 173 str., ilustr., tabele. [COBISS.SI-ID
286316800]
1058.
SIMIDJIEVSKI, Nikola.
Ensembles of process-based models of dynamic systems : doctoral dissertation = Ansambli
procesnih modelov dinamičnih sistemov : doktorska disertacija. Ljubljana: [N. Simidjievski], 2016. XIX, 167 str., ilustr., tabele. [COBISS.SI-ID
284867072]
1059.
GJORGJIOSKI, Valentin.
Distance-based learning from structured data : doctoral dissertation = Strojno učenje
z razdaljami za strukturirane podatke : doktorska disertacija. Ljubljana: [V. Gjorgjioski], 2015. XIX, 155 str., ilustr., tabele. [COBISS.SI-ID
278944256]
1060.
ALEKSOVSKI, Darko.
Tree ensembles for discrete-time modeling of non-linear dynamic systems : doctoral
dissertation = Ansambli dreves za modeliranje nelinearnih dinamičnih sistemov v diskretnem
času : doktorska disertacija. Ljubljana: [D. Aleksovski], 2014. XXVII, 145 str., ilustr., tabele. [COBISS.SI-ID
276816896]
1061.
ČEREPNALKOSKI, Darko.
Process-based models of dynamical systems: representation and induction : doctoral
dissertation = Predstavljanje in učenje procesnih modelov dinamičnih sistemov : doktorska
disertacija. Ljubljana: [D. Čerepnalkoski], 2013. X, 140 str., ilustr., tabele. [COBISS.SI-ID
268955136]
1062.
IKONOMOVSKA, Elena.
Algorithms for learning regression trees and ensembles on evolving data streams :
doctoral dissertation = Algoritmi za učenje regresijskih dreves in ansamblov iz spremenljivih
podatkovnih tokov : doktorska disertacija. Ljubljana: [E. Ikonomovska], 2012. XIII, 208 str., ilustr., tabele. [COBISS.SI-ID
263789312]
1063.
MAKSIMOVIĆ, Daniela.
Considering autocorrelation in predictive models : doctoral dissertation = Upoštevanje
avtokorelacije v napovednih modelih : doktorska disertacija. Ljubljana: [D. Stojanova], 2012. [XV], 171 str., ilustr., tabele. [COBISS.SI-ID
265013504]
1064.
SLAVKOV, Ivica.
An evaluation method for feature rankings : doctoral dissertation = Metoda vrednotenja
urejenosti značilk : doktorska disertacija. Ljubljana: [I. Slavkov], 2012. XIV, 178 str., ilustr., tabele. [COBISS.SI-ID
262820608]
1065.
PEČKOV, Aleksandar.
A machine learning approach to polynomial regression : doctoral dissertation = Algoritmi
strojnega učenja za polinomsko regresijo : doktorska disertacija. Ljubljana: [A. Pečkov], 2012. XII, 143 str., ilustr., tabele. [COBISS.SI-ID
263790080]
1066.
PANOV, Panče.
A modular ontology of data mining : doctoral dissertation = Modularna ontologija podatkovnega
rudarjenja : doktorska disertacija. Ljubljana: [P. Panov], 2012. XVI, 175 str., ilustr., tabele. [COBISS.SI-ID
263137792]
1067.
TAŠKOVA, Katerina.
Parameter identification in nonlinear dynamic systems with meta-heuristic approaches
: doctoral dissertation = Identifikacija parametrov v nelinearnih dinamičnih sistemih
z metahevrističnimi pristopi : doktorska disertacija. Ljubljana: [K. Tashkova], 2012. XIII, 171 str., ilustr., tabele. [COBISS.SI-ID
262103552]
1068.
KOCEV, Dragi.
Ensembles for predicting structured outputs : doctoral dissertation = Ansambli za
napovedovanje strukturiranih vrednosti : doktorska disertacija. [Ljubljana: D. Kocev], 2011. XV, 191 str., ilustr. [COBISS.SI-ID
255819008]
1069.
TRAJANOV, Aneta.
Analysis of results of ecological simulation models with machine learning : doctoral
dissertation = Analiza rezultatov ekoloških simulacijskih modelov s strojnim učenjem
: doktorska disertacija. [Ljubljana: A. Trajanov], 2010. XV, 127 str., ilustr., tabele. [COBISS.SI-ID
23535399]
Mentor for Master's Theses
1070.
MAKSIMOVIĆ, Daniela.
Estimatig forest properties from remotely sensed data by using machine learning :
master thesis = Ocenjevanje stanja gozda iz daljinsko zaznanih podatkov z metodami
strojnega učenja : magistrsko delo. Ljubljana: [D. Stojanova], 2009. IX, 123 str., ilustr. [COBISS.SI-ID
22551591]
1071.
VERDEV, Milan.
Decision support for a waste electrical and electronic equipment treatment system
: master's degree thesis = Podpora odločanju pri sistemu ravnanja z odpadno električno
in elektronsko opremo : magistrska naloga. Ljubljana: [M. Verdev], 2007. IX, 83 str., graf. prikazi. [COBISS.SI-ID
233119232]
Mentor for Master's Theses (Bologna study programme)
1072.
STEVANOSKI, Bozhidar.
Change detection and adaptation in multi-target prediction on data streams : master's
thesis : 2nd cycle master's study programme Computer and Information Science. Ljubljana: [B. Stevanoski], 2021. XXII, 153 str., ilustr. [COBISS.SI-ID
78733059]
1073.
PEEV, Gjorgi.
Visual representation of process-based models : master thesis = Vizualna predstavitev
procesnih modelov : magistrsko delo. Ljubljana: [G. Peev], 2018. XV, 85 str., ilustr. [COBISS.SI-ID
31816743]
1075.
PETKOVIĆ, Matej.
Ocenjevanje pomembnosti zveznih značilk z metodo ReliefF : magistrsko delo. Ljubljana: [M. Petković], 2015. V, 80 str., ilustr. [COBISS.SI-ID
17443929]
Mentor for Undergraduate Theses
1077.
TRAJANOV, Aneta.
Mašinsko učenje na morfosintaktičkata struktura na imenkite od makedonskiot jazik
; diplomska rabota : [diploma thesis]. Skopje: [A. zdravkova], 2005. 34 str. [COBISS.SI-ID
19645735]
1078.
VOJNOVSKI, Viktor.
Učenje na PoC tagiranje nad Makedonski tekstualen korpus ; [diplomska rabota] = [Learning
POS tagging from Macedonian text corpus] : [diploma thesis]. Skopje: [V. Vojnovski], 2005. VI, 29 str. [COBISS.SI-ID
19644711]
1080.
IKONOMOVSKA, Elena. Regression on evolving multi-relational data streams. In:
Electronic conference proceedings. Uppsala: ACM, 2011. 7 str. ISBN 978-1-4503-0528-0, ISBN 978-1-4503-0529-7. [COBISS.SI-ID
24645927]
Co-Mentor for Doctoral Dissertations
1081.
STEPIŠNIK, Tomaž.
Complex nodes in trees for structured output prediction : doctoral dissertation =
Kompleksna vozlišča v drevesih za napovedovanje strukturiranih vrednosti : doktorska
disertacija. Ljubljana: [T. Stepišnik], 2020. XXI, 147 str., ilustr. [COBISS.SI-ID
52679939]
1082.
KUZMANOVSKI, Vladimir.
Integrating decision support and data mining for risk evaluation and management :
a methodological framework and a case study in agriculture : doctoral dissertation
= Integracija podpore pri odločanju in podatkovnega rudarjenja za vrednotenje in upravljanje
tveganja: metodološki okvir in študij primera iz agronomije = doktorska disertacija. Ljubljana: [V. Kuzmanovski ], 2016. XXII, 141 str., ilust. [COBISS.SI-ID
30006567]
1083.
MADŽAROV, Gjorgji.
Novi metodi za gradenje na hierarhički poveḱecelni klasifikatori = [Advanced methods
for builbing hierarchical multi-label classifiers] : doktorska disertacija. Skopje: [G. M. Madjarov], 2012. XIII, 183 str., ilustr. [COBISS.SI-ID
26531367]
1084.
DIMITROVSKI, Ivica, LOSKOVSKA, Suzana (mentor).
Generički sistem za sodržinski bazirano prebaruvanje na sliki : doktorska disertacija. Skopje: [I. Dimitrovski], 2011. 142 f., [22]f. pril., ilustr. [COBISS.SI-ID
25229351]
1085.
KOBLER, Andrej.
Nove metode za obdelavo podatkov letalskega laserskega skenerja za monitoring gozdnih
ekosistemov : doktorska disertacija = New methods of prosessing [!] aerial laser scanner
data for forest ecosystem monitoring : doctoral thesis. Ljubljana: [A. Kobler], 2011. XVIII, 131 str., ilustr.
http://drugg.fgg.uni-lj.si/1798/. [COBISS.SI-ID
5489249]
1086.
GIBIČAR, Darija.
Ocena bioloških kazalcev ledvičnih poškodb in oksidativnega stresa pri poklicni in
splošni izpostavljenosti živemu srebru : doktorska disertacija = Assessment of biomarkers
of kidney damage and oxidative stress in occupational and general exposure to mercury
: doctoral dissertation. Ljubljana: [D. Gibičar], 2008. XVII, 153 f., [24] f. pril, ilustr. [COBISS.SI-ID
590711]
1087.
ŽENKO, Bernard.
Learning predictive clustering rules : phd thesis. Ljubljana: [B. Ženko], 2007. XII, 133 str., graf. prikazi, tabele. [COBISS.SI-ID
233871616]
1088.
ATANASOVA, Nataša.
Priprava in uporaba ekspertnega predznanja za avtomatizirano modeliranje vodnih ekosistemov
: doktorska disertacija. Ljubljana: [N. Atanasova], 2005. V, 60 str., [113] str. pril., ilustr., tabele.
http://drugg.fgg.uni-lj.si/4201/. [COBISS.SI-ID
2751585]
1089.
TODOROVSKI, Ljupčo.
Uporaba predznanja pri modeliranju dinamičnih sistemov z avtomatskim odkrivanjem enačb
: doktorska disertacija = Using domain knowledge for automated modeling of dynamic
systems with equation discovery : phd thesis. Ljubljana: [L. Todorovski], 2002, 2003. 161 str., graf. prikazi.
http://eprints.fri.uni-lj.si/782/. [COBISS.SI-ID
4007252]
Co-Mentor for Doctoral Dissertations (Bologna study programme)
1090.
JEVŠENAK, Jernej.
Nelinearno modeliranje povezav med lesnimi branikami in okoljem : doktorska disertacija
= Nonlinear modeling of the relationship between xylem tree-rings and environment
: doctoral dissertation. Ljubljana: [J. Jevšenak], 2019. XII, 141 f., ilustr.
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=105984. [COBISS.SI-ID
930167]
Co-Mentor for Master's Theses
1091.
KUZMANOVSKI, Vladimir.
Integration of expert knowledge and predictive learning : modelling water flows in
agriculture : master thesis = Integracija ekspertnega znanja z napovednim učenjem
: modeliranje vodnih tokov v poljedelstvu : magistrsko delo. Ljubljana: [V. Kuzmanovski], 2012. XI, 125 str., ilustr. [COBISS.SI-ID
26090279]
1092.
ŽENKO, Bernard.
Izboljšave metode skladanja klasifikatorjev : magistrsko delo. Ljubljana: [B. Ženko], 2003. VI, 60 f. [COBISS.SI-ID
3607380]
Co-Mentor for Master's Theses (Bologna study programme)
1093.
BOGATINOVSKI, Jasmin.
A comprehensive study of multi-label classification methods : master thesis = Temeljita
študija metod za večoznačno klasifikacijo. Ljubljana: [J. Bogatinovski], 2019. XXIII, 121 str., ilustr. [COBISS.SI-ID
32747559]
1094.
TOLOVSKI, Ilin.
Designing, populating and querying repositories of semantically annotated computational
experiments : master thesis = Načrtovanje, polnjenje in preiskovanje zbirk semantično
označenih računalniških poskusov. Ljubljana: [I. Tolovski], 2019. XVII, 79 str., ilustr. [COBISS.SI-ID
32744743]
1095.
KOSTOVSKA, Ana.
Designing, populating and querying repositories of semantically annotated datasets
: master thesis. Ljubljana: [A. Kostovska], 2019. XVII, 79 str., ilustr. [COBISS.SI-ID
32702759]
1096.
MILESKI, Vanja.
Tree methods for hierarchical multi-target regression : master thesis = Drevesne metode
za hierarhično večciljno regresijo ; magistrsko delo. Ljubljana: [V. Mileski], 2017. XXI, 75 str., ilustr. [COBISS.SI-ID
30828071]
Co-Mentor for Undergraduate Theses
1097.
PUGELJ, Mitja.
Napovedovanje strukturiranih vrednosti z metodo najbližjih sosedov = [Prediction of
structured values using nearest neighbours] : diplomsko delo na interdisciplinarnem
univerzitetnem študiju. Ljubljana: [M. Pugelj], 2010. 89 str., ilustr.
http://eprints.fri.uni-lj.si/1175/. [COBISS.SI-ID
7951188]
1098.
KOCEV, Dragi.
Okolina za postavuvanje na induktivni prašanja za učenje na drva za prediktivno grupiranje
; diplomska rabota = [Inductive querying environment for learning predictive clustering
trees] : [diploma thesis]. Skopje: [D. Kocev], 2005. 81 str., ilustr. [COBISS.SI-ID
19645479]
1099.
SLAVKOV, Ivica.
Otkrivanje na vrski meǵu podatoci za kliničkata slika na pacienti i izrazenosta na
genite so drva za prediktivno grupiranje ; diplomska rabota = [Predictive clustering
trees for micro-array and patient-record data analysis] : [diploma thesis]. Skopje: [I. Slavkov], 2005. VI, 44 str., ilustr. [COBISS.SI-ID
19644967]
1100.
PANOV, Panče.
Učenje na prediktivni modeli od sumrni podatoci ; diplomska rabota = [Predictive data
mining from frequent itemsets] : [diploma thesis]. Skopje: [P. Panče], 2005. 81 str., ilustr. [COBISS.SI-ID
19645223]
1101.
ŽENKO, Bernard.
Napovedovanje biorazgradljivosti z regresijskimi drevesi : diplomsko delo. Ljubljana: [B. Ženko], 2000. V, 68 f., ilustr. [COBISS.SI-ID
15825703]
Reviewer
Member of the commission for defense
1103.
ŠKERJANEC, Mateja.
Avtomatizirano modeliranje pri celostnem upravljanju z vodnimi viri : doktorska disertacija
= Automated modelling for integrated water resources management : doctoral thesis. Ljubljana: [M. Škerjanec], 2014. XXX, 132 str., 7 pril., ilustr.
http://drugg.fgg.uni-lj.si/4825/. [COBISS.SI-ID
6550113]
Selected format of bibliographic unit: ISO 690
Sorting of bibliographic units: Typology, year - descending, title
A source of bibliographic data: shared data base COBISS.SI/COBIB.SI, 8. 12. 2021