COBISS Co-operative Online Bibliographic system & services COBISS
PhD Sašo Džeroski [11130]
Personal bibliography for the period 2018-2021
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]
1.08 Published scientific conference contribution
47.
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.
DOI:
10.1145/3449726.3459579. [COBISS.SI-ID
71045635]
48.
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
83002371]
49.
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
83002115]
50.
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
85090563]
51.
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
63839747]
52.
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
52173315]
53.
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
52269827]
54.
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
37131267]
55.
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
37133315]
56.
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.
ISSN 0302-9743.
https://link.springer.com/content/pdf/10.1007%2F978-3-030-59491-6.pdf. [COBISS.SI-ID
28852483]
57.
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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. 28.
http://ipssc.mps.si/Proceedings/Proceedings_2018.pdf. [COBISS.SI-ID
31413287]
99.
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.
http://ipssc.mps.si/Proceedings/Proceedings_2018.pdf. [COBISS.SI-ID
31413799]
100.
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:
Inštitut Jožef Stefan: = Jožef Stefan Institute, 2018. Str. 21.
http://ipssc.mps.si/Proceedings/Proceedings_2018.pdf. [COBISS.SI-ID
20859907]
101.
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.
http://ipssc.mps.si/Proceedings/Proceedings_2018.pdf. [COBISS.SI-ID
31414311]
102.
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.
http://ipssc.mps.si/Proceedings/Proceedings_2018.pdf. [COBISS.SI-ID
31414055]
103.
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.
http://ipssc.mps.si/Proceedings/Proceedings_2018.pdf. [COBISS.SI-ID
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1.20 Preface, afterword
104.
KRALJ NOVAK, Petra, ŠMUC, Tomislav, DŽEROSKI, Sašo. Preface. 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. v-vi. 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.pdf. [COBISS.SI-ID
32865831]
MONOGRAPHS AND OTHER COMPLETED WORKS
2.13 Treatise, preliminary study, study
105.
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]
106.
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]
107.
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]
108.
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]
109.
TOLOVSKI, Ilin, DŽEROSKI, Sašo, PANOV, Panče.
Semantic annotation of predictive modelling experiments. 2020. IJS delovno poročilo, 13155. [COBISS.SI-ID
16061955]
110.
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]
111.
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]
112.
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]
2.21 Software
113.
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
114.
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]
SECONDARY AUTHORSHIP
Editor
116.
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]
117.
Ecological informatics. DŽEROSKI, Sašo (member of editorial board 2004-). Amsterdam: Elsevier. ISSN 1574-9541.
[COBISS.SI-ID
23488295]
119.
Journal of intelligent information systems. DŽEROSKI, Sašo (member of editorial board 2015-). Boston: Kluwer Academic Publishers,
1992-. ISSN 0925-9902. [COBISS.SI-ID
15633157]
120.
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
2805844]
121.
Machine learning. DŽEROSKI, Sašo (member of editorial board 2002-). [Print ed.]. Norwell (MA); Dordrecht:
Kluwer Academic Publishers, 1986-. ISSN 0885-6125. [COBISS.SI-ID
2623527]
122.
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
32805927]
Mentor for Doctoral Dissertations
123.
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]
124.
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]
125.
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]
Mentor for Master's Theses (Bologna study programme)
126.
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]
127.
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]
Co-Mentor for Doctoral Dissertations
128.
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]
Co-Mentor for Doctoral Dissertations (Bologna study programme)
129.
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 (Bologna study programme)
130.
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]
131.
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]
132.
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]
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