| 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 | 123 | 2020 |
| Feature ranking for multi-target regression M Petković, D Kocev, S Džeroski Machine Learning 109, 1179-1204, 2020 | 46 | 2020 |
| Feature importance estimation with self-attention networks B Škrlj, S Džeroski, N Lavrač, M Petkovič arXiv preprint arXiv:2002.04464, 2020 | 24 | 2020 |
| 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 | 17 | 2017 |
| 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 | 17 | 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 | 14 | 2019 |
| 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 | 8 | 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 | 6 | 2021 |
| Feature ranking for semi-supervised learning M Petković, S Džeroski, D Kocev Machine Learning, 1-30, 2022 | 5 | 2022 |
| Fuzzy jaccard index: a robust comparison of ordered lists M Petković, B Škrlj, D Kocev, N Simidjievski Applied Soft Computing 113, 107849, 2021 | 5 | 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 | 5 | 2020 |
| Feature ranking with relief for multi-label classification: Does distance matter? M Petković, D Kocev, S Džeroski Discovery Science: 21st International Conference, DS 2018, Limassol, Cyprus …, 2018 | 5 | 2018 |
| Multi-label feature ranking with ensemble methods M Petković, S Džeroski, D Kocev Machine Learning 109, 2141-2159, 2020 | 4 | 2020 |
| 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 | 4 | 2020 |
| Quantitative score for assessing the quality of feature rankings I Slavkov, M Petković, D Kocev, S Džeroski Informatica 42 (1), 2018 | 4 | 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 | 3 | 2022 |
| 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 | 3 | 2021 |
| Estimating the importance of relational features by using gradient boosting M Petković, M Ceci, K Kersting, S Džeroski Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020 …, 2020 | 3 | 2020 |
| Ensemble‐and distance‐based feature ranking for unsupervised learning M Petković, D Kocev, B Škrlj, S Džeroski International Journal of Intelligent Systems 36 (7), 3068-3086, 2021 | 2 | 2021 |
| Ensemble-based feature ranking for semi-supervised classification M Petković, S Džeroski, D Kocev Discovery Science: 22nd International Conference, DS 2019, Split, Croatia …, 2019 | 2 | 2019 |
Dragi KocevJožef Stefan InstituteVerified email at ijs.si
