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Tomaž Stepišnik
Tomaž Stepišnik
Young researcher, Jožef Stefan Institute
Verified email at ijs.si
Title
Cited by
Cited by
Year
Cheminformatics in MS-based environmental exposomics: Current achievements and future directions
M Ljoncheva, T Stepišnik, S Džeroski, T Kosjek
Trends in Environmental Analytical Chemistry 28, e00099, 2020
162020
Semi-supervised regression trees with application to QSAR modelling
J Levatić, M Ceci, T Stepišnik, S Džeroski, D Kocev
Expert Systems with Applications 158, 113569, 2020
132020
A comprehensive comparison of molecular feature representations for use in predictive modeling
T Stepišnik, B Škrlj, J Wicker, D Kocev
Computers in Biology and Medicine 130, 104197, 2021
112021
Ensembles of extremely randomized predictive clustering trees for predicting structured outputs
D Kocev, M Ceci, T Stepišnik
Machine Learning 109, 2213-2241, 2020
112020
Oblique predictive clustering trees
T Stepišnik, D Kocev
Knowledge-Based Systems 227, 107228, 2021
62021
Survival analysis with semi-supervised predictive clustering trees
B Roy, T Stepišnik, TPROA ALS, C Vens, S Džeroski, ...
Computers in biology and medicine 141, 105001, 2022
52022
Lessons learned from the 1st ariel machine learning challenge: Correcting transiting exoplanet light curves for stellar spots
N Nikolaou, IP Waldmann, A Tsiaras, M Morvan, B Edwards, KH Yip, ...
arXiv preprint arXiv:2010.15996, 2020
42020
Hyperbolic embeddings for hierarchical multi-label classification
T Stepišnik, D Kocev
Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020 …, 2020
42020
Option predictive clustering trees for multi-target regression
T Stepišnik, A Osojnik, S Džeroski, D Kocev
Computer Science and Information Systems 17 (2), 459-486, 2020
32020
Option predictive clustering trees for multi-label classification
T Stepišnik, D Kocev, S Džeroski
Acta Polytechnica Hungarica 17 (10), 2020
22020
Multivariate predictive clustering trees for classification
T Stepišnik, D Kocev
Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020 …, 2020
22020
Phenotype prediction with semi-supervised classification trees
J Levatić, M Brbić, TS Perdih, D Kocev, V Vidulin, T Šmuc, F Supek, ...
New Frontiers in Mining Complex Patterns: 6th International Workshop, NFMCP …, 2018
22018
Phenotype prediction with semi-supervised learning
J Levatic, M Brbic, T Perdih, D Kocev, V Vidulin, T Šmuc, F Supek, ...
Proceedings of the New Frontiers in Mining Complex Patterns: Sixth Edition …, 2017
22017
Option predictive clustering trees for hierarchical multi-label classification
T Stepišnik Perdih, A Osojnik, S Džeroski, D Kocev
Discovery Science: 20th International Conference, DS 2017, Kyoto, Japan …, 2017
22017
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data
A Kostovska, M Petković, T Stepišnik, L Lucas, T Finn, J Martínez-Heras, ...
2021 IEEE 8th International Conference on Space Mission Challenges for …, 2021
12021
Semi-supervised oblique predictive clustering trees
T Stepišnik, D Kocev
PeerJ Computer Science 7, e506, 2021
12021
Machine learning for identification of silylated derivatives from mass spectra
M Ljoncheva, T Stepišnik, T Kosjek, S Džeroski
Journal of Cheminformatics 14 (1), 62, 2022
2022
Machine learning for effective spacecraft operation: Operating INTEGRAL through dynamic radiation environments
T Stepišnik, T Finn, N Simidjievski, R Southworth, G Belanger, JAM Heras, ...
Advances in Space Research 69 (11), 3909-3920, 2022
2022
Machine-learning ready data on the thermal power consumption of the Mars Express Spacecraft
M Petković, L Lucas, J Levatić, M Breskvar, T Stepišnik, A Kostovska, ...
Scientific Data 9 (1), 229, 2022
2022
Wet-dry-wet drug screen leads to the synthesis of TS1, a novel compound reversing lung fibrosis through inhibition of myofibroblast differentiation
NAR Ring, MC Volpe, T Stepišnik, MG Mamolo, P Panov, D Kocev, ...
Cell Death & Disease 13 (1), 2, 2021
2021
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Articles 1–20