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]
33. JEVŠENAK, Jernej, LEVANIČ, Tom, DŽEROSKI, Sašo. Comparison of an optimal regression method for climate reconstruction with the compare_methods() function from the dendroTools R package. Dendrochronologia. 2018, vol. 52, str. 96-104, ilustr. ISSN 1125-7865. https://doi.org/10.1016/j.dendro.2018.10.001, DOI: 10.1016/j.dendro.2018.10.001. [COBISS.SI-ID 5224102]
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. 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. https://link.springer.com/content/pdf/10.1007%2F978-3-030-59491-6.pdf. [COBISS.SI-ID 48193283]
58. ŠKRLJ, Blaž, DŽEROSKI, Sašo, LAVRAČ, Nada, PETKOVIĆ, Matej. Feature importance estimation with self-attention networks. Frontiers in artificial intelligence and applications. str. 1491-1498. ISSN 0922-6389. http://ebooks.iospress.nl/publication/55051, DOI: 10.3233/FAIA200256. [COBISS.SI-ID 49940227]
59. 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 34407683]
60. 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 41487619]
61. 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 32249639]
62. 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 32865575]
63. 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 (ed.). Discovery Science : 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, : proceedings. Cham: Springer, 2019. Lncs 11828, str. 186-201. 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_16.pdf. [COBISS.SI-ID 32865319]
64. OSOJNIK, Aljaž, PANOV, Panče, DŽEROSKI, Sašo. Utilizing hierarchies in tree-based online structured output prediction. 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. 87-95. 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_8.pdf. [COBISS.SI-ID 32877351]
65. 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: AMELINK, Arjen (ed.), NADKARNI, Seemantini K. (ed.). European Conferences on Biomedical Optics, 22 July 2019, Munich, Germany. Bellingham: SPIE, 2019. Str. 110751k-1-110751k-8. Proceedings of SPIE, vol. 11075. ISSN 0277-786X. [COBISS.SI-ID 32537639]
66. TOLOVSKI, Ilin, KOSTOVSKA, Ana, SIMIDJIEVSKI, Nikola, TODOROVSKI, Ljupčo, DŽEROSKI, Sašo, PANOV, Panče. Towards reusable process-based models of dynamical systems : a case study in the domain of aquatic ecosystems. In: SKALA, Karolj (ed.). MIPRO 2019 : 42nd International Convention, May 20 -24, 2019, Opatija, Croatia : proceedings. Rijeka: Croatian Society for Information and Communication Technology, Electronics and Microelectronics - MIPRO, 2019. Str. 1110-1115. MIPRO ... (CD-ROM). ISSN 1847-3946. DOI: 10.23919/MIPRO.2019.8757013. [COBISS.SI-ID 32541991]
67. VERDEL, Nina, TANEVSKI, Jovan, DŽEROSKI, Sašo, MAJARON, Boris. A machine-learning model for quantitative characterization of human skin using photothermal radiometry and diffuse reflectance spectroscopy. In: CHOI, Bernard (ed.), ZENG, Haishan (ed.). Photonics in Dermatology and Plastic Surgery 2019 : January 28, 2017, San Francisco, California. Bellingham: SPIE, 2019. Str. 1085107-1-1085107-10. Proceedings of SPIE, vol. 10851. ISSN 0277-786X. DOI: 10.1117/12.2509691. [COBISS.SI-ID 32183335]
68. PETKOVIĆ, Matej, LUCAS, Luke, KOCEV, Dragi, DŽEROSKI, Sašo, BOUMGHAR, Redouane, SIMIDJIEVSKI, Nikola. Quantifying the effects of gyroless flying of the Mars Express Space craft with machine learnin. In: Proceedings. Danvers: IEEE = Institute of Electrical and Electronics Engineers, 2019. Str. 9-16. ISBN 978-1-7281-1544-3. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8863862. [COBISS.SI-ID 32825383]
69. MIHELČIĆ, Matej, DŽEROSKI, Sašo, ŠMUC, Tomislav. Extending Redescription mining to multiple views. In: SOLDATOVA, Larisa N. (ed.). Discovery science : 21st International Conference, DS 2018 Limassol, Cyprus, October 29-31, 2018 : proceedings. Cham: Springer, 2018. Lnai 11198, str. 292-307. Lecture notes in artificial intelligence, LNAI 11198. ISBN 978-3-030-01770-5, ISBN 978-3-030-01771-2. ISSN 0302-9743. [COBISS.SI-ID 32053287]
70. PETKOVIĆ, Matej, KOCEV, Dragi, DŽEROSKI, Sašo. Feature ranking with relief for multi-label classification. In: SOLDATOVA, Larisa N. (ed.). Discovery science : 21st International Conference, DS 2018 Limassol, Cyprus, October 29-31, 2018 : proceedings. Cham: Springer, 2018. Lnai 11198, str. 51-65. Lecture notes in artificial intelligence, LNAI 11198. ISBN 978-3-030-01770-5, ISBN 978-3-030-01771-2. ISSN 0302-9743. [COBISS.SI-ID 32054311]
71. PETKOVIĆ, Matej, DŽEROSKI, Sašo, KOCEV, Dragi. Feature ranking for hierarchical multi-label classification with tree ensemble methods. 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. 4 str. ETAI Megunarodna Konferencija (USB). ISBN 978-9989-630-89-7. ISSN 2545-4889. [COBISS.SI-ID 31719207]
72. BRESKVAR, Martin, KOCEV, Dragi, DŽEROSKI, Sašo. Fitted rule ensembles for multi-target regression with random output selections. 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. 4 str. ETAI Megunarodna Konferencija (USB). ISBN 978-9989-630-89-7. ISSN 2545-4889. [COBISS.SI-ID 31718951]
73. STEPIŠNIK, Tomaž, KOCEV, Dragi, DŽEROSKI, Sašo. Option predictive clustering trees for multi-label classification. 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. 4 str. ETAI Megunarodna Konferencija (USB). ISBN 978-9989-630-89-7. ISSN 2545-4889. [COBISS.SI-ID 31719463]
74. LEVATIĆ, Jurica, BRBIĆ, Marija, STEPIŠNIK, Tomaž, KOCEV, Dragi, VIDULIN, Vedrana, ŠMUC, Tomislav, SUPEK, Fran, DŽEROSKI, Sašo. Phenotype prediction with semi-supervised classification trees. In: APPICE, Annalisa (ed.). New frontiers in mining complex patterns : 6th International Workshop, NFMCP 2017, in conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017 : revised selected papers. Cham: Springer, 2018. Lncs 10785, str. 138-150. Lecture notes in computer science, Lecture notes in artificial intelligence, LNCS 10785. ISBN 978-3-319-78679-7, ISBN 978-3-319-78680-3. ISSN 0302-9743. [COBISS.SI-ID 31337767]
75. NIKOLOSKI, Stevanche, KOCEV, Dragi, DŽEROSKI, Sašo. Structuring the output space in multi-label classification by using feature ranking. In: APPICE, Annalisa (ed.). New frontiers in mining complex patterns : 6th International Workshop, NFMCP 2017, in conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017 : revised selected papers. Cham: Springer, 2018. Lncs 10785, str. 151-166. Lecture notes in computer science, Lecture notes in artificial intelligence, LNCS 10785. ISBN 978-3-319-78679-7, ISBN 978-3-319-78680-3. ISSN 0302-9743. [COBISS.SI-ID 31475751]
76. KOSTOVSKA, Ana, DŽEROSKI, Sašo, PANOV, Panče. Towards a semantic repository of data mining and machine learning datasets. In: MLADENIĆ, Dunja (ed.), GROBELNIK, Marko (ed.). Odkrivanje znanja in podatkovna skladišča - SiKDD : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018, 8. in 12. oktober 2018, Ljubljana, Slovenia : zvezek C = Data mining and data warehouses - SiKDD : proceedings of the 21st International Multiconference Information Society - IS 2018, October 8-12, 2018, [Ljubljana, Slovenia] : volume C. Ljubljana: Institut "Jožef Stefan", 2018. Str. 41-44. Informacijska družba. ISBN 978-961-264-137-5. ISSN 2630-371X. http://library.ijs.si/Stacks/Proceedings/InformationSociety/2019/IS2019_Volume_C%20-%20SiKDD.pdf. [COBISS.SI-ID 31887655]
77. TOLOVSKI, Ilin, DŽEROSKI, Sašo, PANOV, Panče. Towards a semantic store of data mining models and experiments. In: MLADENIĆ, Dunja (ed.), GROBELNIK, Marko (ed.). Odkrivanje znanja in podatkovna skladišča - SiKDD : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018, 8. in 12. oktober 2018, Ljubljana, Slovenia : zvezek C = Data mining and data warehouses - SiKDD : proceedings of the 21st International Multiconference Information Society - IS 2018, October 8-12, 2018, [Ljubljana, Slovenia] : volume C. Ljubljana: Institut "Jožef Stefan", 2018. Str. 45-48. Informacijska družba. ISBN 978-961-264-137-5. ISSN 2630-371X. http://library.ijs.si/Stacks/Proceedings/InformationSociety/2019/IS2019_Volume_C%20-%20SiKDD.pdf. [COBISS.SI-ID 31887911]
78. PEEV, Gjorgi, SIMIDJIEVSKI, Nikola, DŽEROSKI, Sašo. Aiding the task of process-based modeling with ProBMoTViz. In: LUŠTREK, Mitja (ed.), PILTAVER, Rok (ed.), GAMS, Matjaž (ed.). Slovenska konferenca o umetni inteligenci : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018, 8.-12. oktober 2018, Ljubljana, Slovenia : zvezek A = Slovenian Conference on Artificial Intelligence : proceedings of the 21st International Multiconference Information Society - IS 2018, 8-12 October, 2018, [Ljubljana, Slovenia] : volume A. Ljubljana: Institut "Jožef Stefan", 2018. Str. 57-61. Informacijska družba. ISBN 978-961-264-135-1. ISSN 2630-371X. https://is.ijs.si/archive/proceedings/2018/files/Zbornik%20-%20A.pdf. [COBISS.SI-ID 31861287]
79. DEBELJAK, Marko, KUZMANOVSKI, Vladimir, DŽEROSKI, Sašo, TOSSER, Veronique, TRAJANOV, Aneta. Assessment and prediction of auxiliary carabid species in agricultural fields. In: LUŠTREK, Mitja (ed.), PILTAVER, Rok (ed.), GAMS, Matjaž (ed.). Slovenska konferenca o umetni inteligenci : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018, 8.-12. oktober 2018, Ljubljana, Slovenia : zvezek A = Slovenian Conference on Artificial Intelligence : proceedings of the 21st International Multiconference Information Society - IS 2018, 8-12 October, 2018, [Ljubljana, Slovenia] : volume A. Ljubljana: Institut "Jožef Stefan", 2018. Str. 41-44. Informacijska družba. ISBN 978-961-264-135-1. ISSN 2630-371X. https://is.ijs.si/archive/proceedings/2018/files/Zbornik%20-%20A.pdf. [COBISS.SI-ID 31860519]
80. KUZMANOVSKI, Vladimir, TRAJANOV, Aneta, DŽEROSKI, Sašo, DEBELJAK, Marko. Data-driven methods for modelling drainage water outflow. In: Special issue of the 306th International Conference on Civil and Environmental Engineering, 10th -11th March, 2018, Nairobi, Kenia. Bhubaneswar: Institute of Research and Journals = IRAJ, 2018. Vol. 6, no. 1, spec. iss. 2, str. 2321-9009. International journal of advances in science engineering and technology, vol. 6, iss. 1, spec. iss 2,. ISSN 2321-8991. [COBISS.SI-ID 31499047]

1.10 Published scientific conference contribution abstract (invited lecture)

81. 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]
82. 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]

1.12 Published scientific conference contribution abstract

83. 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. https://intlexposurescience.org/wp-content/uploads/2021/11/2021-Abstract-Book-Final.pdf. [COBISS.SI-ID 87295491]
84. 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 65180931]
85. DŽEROSKI, Sašo. AI applications in medicine and pharma. In: AI for Industry and Society Seminar, 12. 2. 2020, Ljubljana, Slovenia. https://icm.si/wp-content/uploads/2020/02/BF-2020-05-1-2020.pdf. [COBISS.SI-ID 33250855]
86. 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 vir. https://iemss2020.com/programme/. [COBISS.SI-ID 29456387]
87. 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 62938115]
88. 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]
89. 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. [COBISS.SI-ID 27883523]
90. 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. https://ssouf.fmf.uni-lj.si/. [COBISS.SI-ID 30759939]
91. 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 33172519]
92. 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, no. 1. ISSN 2573-3370. https://www.liebertpub.com/doi/pdf/10.1089/sysm.2018.29003.abstracts. [COBISS.SI-ID 34800089]
93. 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 31289383]
94. 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 31289127]
95. 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 31288871]
96. 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 5078182]
97. 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. http://www.nonlinearbenchmark.org/FILES/WORKSHOP2018/BookOfAbstracts2018.pdf. [COBISS.SI-ID 31773479]
98. 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: 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 31413543]

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

115. ACM transactions on knowledge discovery from data. DŽEROSKI, Sašo (member of editorial board 2005-). New York, NY: Association for Computing Machinery. ISSN 1556-4681. http://www.acm.org/pubs/tkdd/, http://portal.acm.org/browse%5Fdl.cfm?linked=1&part=transaction&idx=J1054&coll=portal&dl=ACM. [COBISS.SI-ID 23488039]
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]
118. Ecological modelling. DŽEROSKI, Sašo (member of editorial board 2007-). [Print ed.]. Amsterdam [etc.]: Elsevier, 1975-. ISSN 0304-3800. http://www.journals.elsevier.com/ecological-modelling. [COBISS.SI-ID 26792960]
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