PhD Sašo Džeroski [11130]

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]

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]

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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]

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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]

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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]

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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]

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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]

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