PhD Sašo Džeroski [11130]

1. 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]

2. 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]

3. 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]

4. 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]

5. 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]

6. 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]

7. 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]

8. 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]

9. 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]

10. 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]

11. 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]

12. 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]

13. 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]

14. 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]

15. 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]

16. 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]

17. 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]

18. 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]

19. 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]

20. 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]

21. 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]

22. 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]

23. 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]

24. 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]

25. 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]

26. 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]

27. 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]

28. 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]

29. 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]

30. 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]

31. 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]

32. 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]

33. 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]

34. 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]

35. 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]

36. 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]

37. TOLOVSKI, Ilin, DŽEROSKI, Sašo, PANOV, Panče. Semantic annotation of predictive modelling experiments. 2020. IJS delovno poročilo, 13155. [COBISS.SI-ID 16061955]

38. 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]

39. 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]

40. 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]

41. 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]

42. Ecological informatics. DŽEROSKI, Sašo (member of editorial board 2004-). Amsterdam: Elsevier. ISSN 1574-9541. [COBISS.SI-ID 23488295]

43. 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]

44. Journal of intelligent information systems. DŽEROSKI, Sašo (member of editorial board 2015-). Boston: Kluwer Academic Publishers, 1992-. ISSN 0925-9902. [COBISS.SI-ID 15633157]

45. 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]

46. 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]

47. 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]

48. 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]

49. 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]