| 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 | 26 | 2021 |
| 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 | 24 | 2020 |
| 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 | 21 | 2020 |
| 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 | 15 | 2022 |
| 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, ... RAS Techniques and Instruments 2 (1), 695-709, 2023 | 14 | 2023 |
| Oblique predictive clustering trees T Stepišnik, D Kocev Knowledge-Based Systems 227, 107228, 2021 | 14 | 2021 |
| Ensembles of extremely randomized predictive clustering trees for predicting structured outputs D Kocev, M Ceci, T Stepišnik Machine Learning 109, 2213-2241, 2020 | 12 | 2020 |
| 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 | 9 | 2022 |
| Hyperbolic embeddings for hierarchical multi-label classification T Stepišnik, D Kocev Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020 …, 2020 | 6 | 2020 |
| 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 | 5 | 2021 |
| 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 | 3 | 2022 |
| Semi-supervised oblique predictive clustering trees T Stepišnik, D Kocev PeerJ Computer Science 7, e506, 2021 | 3 | 2021 |
| Option predictive clustering trees for multi-label classification T Stepišnik, D Kocev, S Džeroski Acta Polytechnica Hungarica 17 (10), 2020 | 3 | 2020 |
| 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 | 3 | 2020 |
| 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 | 3 | 2018 |
| 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 | 2 | 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 | 2 | 2021 |
| Multivariate predictive clustering trees for classification T Stepišnik, D Kocev Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020 …, 2020 | 2 | 2020 |
| 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 | 2 | 2017 |
| 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 | 2 | 2017 |
