COBISS Co-operative Online Bibliographic system & services COBISS



PhD Sašo Džeroski [11130]



Personal bibliography for the year 2020





ARTICLES AND OTHER COMPONENT PARTS


1.01 Original scientific article

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]

1.08 Published scientific conference contribution

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]

1.12 Published scientific conference contribution abstract

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]


MONOGRAPHS AND OTHER COMPLETED WORKS


2.13 Treatise, preliminary study, study

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]


SECONDARY AUTHORSHIP


Editor

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]

Mentor for Doctoral Dissertations

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]

Co-Mentor for Doctoral Dissertations

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]



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