| 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 | 33 | 2020 |
| Feature ranking for multi-target regression M Petković, D Kocev, S Džeroski Machine Learning 109 (6), 1179-1204, 2020 | 25 | 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 | 15 | 2017 |
| Feature ranking for multi-target regression with tree ensemble methods M Petković, S Džeroski, D Kocev International Conference on Discovery Science, 171-185, 2017 | 13 | 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 | 9 | 2019 |
| Feature importance estimation with self-attention networks B Škrlj, S Džeroski, N Lavrač, M Petkovič arXiv preprint arXiv:2002.04464, 2020 | 8 | 2020 |
| 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 | 5 | 2018 |
| 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 | 4 | 2019 |
| Fuzzy Jaccard Index: A robust comparison of ordered lists M Petković, B Škrlj, D Kocev, N Simidjievski Applied Soft Computing, 107849, 2021 | 2 | 2021 |
| Feature ranking for semi-supervised learning M Petković, S Džeroski, D Kocev arXiv preprint arXiv:2008.03937, 2020 | 2 | 2020 |
| 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 | 2 | 2020 |
| Ensemble-based feature ranking for semi-supervised classification M Petković, S Džeroski, D Kocev International Conference on Discovery Science, 290-305, 2019 | 2 | 2019 |
| Quantitative score for assessing the quality of feature rankings I Slavkov, M Petković, D Kocev, S Džeroski Informatica 42 (1), 2018 | 2 | 2018 |
| 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 | 1 | 2021 |
| ReliefE: feature ranking in high-dimensional spaces via manifold embeddings B Škrlj, S Džeroski, N Lavrač, M Petković Machine Learning, 1-45, 2021 | 1 | 2021 |
| 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 | 1 | 2021 |
| Multi-label feature ranking with ensemble methods M Petković, S Džeroski, D Kocev Machine Learning 109 (11), 2141-2159, 2020 | 1 | 2020 |
| 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, 2020 | 1 | 2020 |
| A comparison of different data transformation approaches in the feature ranking context M Petković, P Panov, S Džeroski International Conference on Discovery Science, 310-324, 2016 | 1 | 2016 |
| Discovering outliers in the Mars Express thermal power consumption patterns M Petković, L Lucas, T Stepišnik, P Panov, N Simidjievski, D Kocev arXiv preprint arXiv:2108.02067, 2021 | | 2021 |
Dragi KocevJožef Stefan InstitutePreverjeni e-poštni naslov na ijs.si
