| Cheminformatics in MS-based environmental exposomics: Current achievements and future directions M Ljoncheva, T Stepiąnik, S Dľeroski, T Kosjek Trends in Environmental Analytical Chemistry 28, e00099, 2020 | 22 | 2020 |
| A comprehensive comparison of molecular feature representations for use in predictive modeling T Stepiąnik, B ©krlj, J Wicker, D Kocev Computers in Biology and Medicine 130, 104197, 2021 | 21 | 2021 |
| Semi-supervised regression trees with application to QSAR modelling J Levatić, M Ceci, T Stepiąnik, S Dľeroski, D Kocev Expert Systems with Applications 158, 113569, 2020 | 19 | 2020 |
| Survival analysis with semi-supervised predictive clustering trees B Roy, T Stepiąnik, TPROA ALS, C Vens, S Dľeroski, ... Computers in biology and medicine 141, 105001, 2022 | 14 | 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 | 12 | 2023 |
| Ensembles of extremely randomized predictive clustering trees for predicting structured outputs D Kocev, M Ceci, T Stepiąnik Machine Learning 109, 2213-2241, 2020 | 12 | 2020 |
| Oblique predictive clustering trees T Stepiąnik, D Kocev Knowledge-Based Systems 227, 107228, 2021 | 10 | 2021 |
| Machine learning for identification of silylated derivatives from mass spectra M Ljoncheva, T Stepiąnik, T Kosjek, S Dľeroski Journal of Cheminformatics 14 (1), 62, 2022 | 7 | 2022 |
| Hyperbolic embeddings for hierarchical multi-label classification T Stepiąnik, 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 Stepiąnik, L Lucas, T Finn, J Martínez-Heras, ... 2021 IEEE 8th International Conference on Space Mission Challenges for …, 2021 | 4 | 2021 |
| Semi-supervised oblique predictive clustering trees T Stepiąnik, D Kocev PeerJ Computer Science 7, e506, 2021 | 3 | 2021 |
| Option predictive clustering trees for multi-label classification T Stepiąnik, D Kocev, S Dľeroski Acta Polytechnica Hungarica 17 (10), 2020 | 3 | 2020 |
| Option predictive clustering trees for multi-target regression T Stepiąnik, A Osojnik, S Dľeroski, 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 ©muc, 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 Stepiąnik, 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 Stepiąnik, MG Mamolo, P Panov, D Kocev, ... Cell Death & Disease 13 (1), 2, 2021 | 2 | 2021 |
| Multivariate predictive clustering trees for classification T Stepiąnik, 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 ©muc, 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 Stepiąnik Perdih, A Osojnik, S Dľeroski, D Kocev Discovery Science: 20th International Conference, DS 2017, Kyoto, Japan …, 2017 | 2 | 2017 |
| Machine-learning ready data on the thermal power consumption of the Mars Express Spacecraft M Petković, L Lucas, J Levatić, M Breskvar, T Stepiąnik, A Kostovska, ... Scientific Data 9 (1), 229, 2022 | 1 | 2022 |
