| COVID-19 pandemic changes the food consumption patterns T Eftimov, G Popovski, M Petković, BK Seljak, D Kocev Trends in food science & technology 104, 268-272, 2020 | 205 | 2020 |
| Feature ranking for multi-target regression M Petković, D Kocev, S Džeroski Machine Learning 109, 1179-1204, 2020 | 63 | 2020 |
| Feature importance estimation with self-attention networks B Škrlj, S Džeroski, N Lavrač, M Petković ECAI 2020, 1491-1498, 2020 | 49 | 2020 |
| Feature ranking for multi-target regression with tree ensemble methods M Petković, S Džeroski, D Kocev Discovery Science: 20th International Conference, DS 2017, Kyoto, Japan …, 2017 | 20 | 2017 |
| Predicting thermal power consumption of the Mars Express satellite with machine learning M Breskvar, D Kocev, J Levatić, A Osojnik, M Petković, N Simidjievski, ... 2017 6th International conference on space mission challenges for …, 2017 | 19 | 2017 |
| Machine learning for predicting thermal power consumption of the Mars Express Spacecraft M Petković, R Boumghar, M Breskvar, S Džeroski, D Kocev, J Levatić, ... IEEE Aerospace and Electronic Systems Magazine 34 (7), 46-60, 2019 | 17 | 2019 |
| 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 |
| Fuzzy jaccard index: a robust comparison of ordered lists M Petković, B Škrlj, D Kocev, N Simidjievski Applied Soft Computing 113, 107849, 2021 | 13 | 2021 |
| Feature ranking for hierarchical multi-label classification with tree ensemble methods M Petkovic, S Dzeroski, D Kocev Acta Polytechnica Hungarica 17 (10), 129-148, 2020 | 11 | 2020 |
| Feature ranking for semi-supervised learning M Petković, S Džeroski, D Kocev Machine Learning 112 (11), 4379-4408, 2023 | 10 | 2023 |
| Quantifying the effects of gyroless flying of the mars express spacecraft with machine learning M Petkovic, L Lucas, D Kocev, S Džeroski, R Boumghar, N Simidjievski 2019 IEEE International Conference on Space Mission Challenges for …, 2019 | 10 | 2019 |
| Biomarker discovery by feature ranking: evaluation on a case study of embryonal tumors M Petković, I Slavkov, D Kocev, S Džeroski Computers in Biology and Medicine 128, 104143, 2021 | 8 | 2021 |
| Feature ranking with relief for multi-label classification: Does distance matter? M Petković, D Kocev, S Džeroski International Conference on Discovery Science, 51-65, 2018 | 7 | 2018 |
| ReliefE: feature ranking in high-dimensional spaces via manifold embeddings B Škrlj, S Džeroski, N Lavrač, M Petković Machine Learning 111 (1), 273-317, 2022 | 6 | 2022 |
| Multi-label feature ranking with ensemble methods M Petković, S Džeroski, D Kocev Machine Learning 109, 2141-2159, 2020 | 6 | 2020 |
| CLUSplus: A decision tree-based framework for predicting structured outputs M Petković, J Levatić, D Kocev, M Breskvar, S Džeroski SoftwareX 24, 101526, 2023 | 5 | 2023 |
| Relational tree ensembles and feature rankings M Petković, M Ceci, G Pio, B Škrlj, K Kersting, S Džeroski Knowledge-Based Systems 251, 109254, 2022 | 5 | 2022 |
| MLFMF: data sets for machine learning for mathematical formalization A Bauer, M Petković, L Todorovski Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| 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 | 4 | 2021 |
| DIETHUB: Dietary habits analysis through understanding the content of recipes M Petković, G Popovski, BK Seljak, D Kocev, T Eftimov Trends in Food Science & Technology 107, 183-194, 2021 | 4 | 2021 |
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