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Matej Petković
Matej Petković
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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
1022020
Feature ranking for multi-target regression
M Petković, D Kocev, S Džeroski
Machine learning 109 (6), 1179-1204, 2020
432020
Feature importance estimation with self-attention networks
B Škrlj, S Džeroski, N Lavrač, M Petkovič
arXiv preprint arXiv:2002.04464, 2020
202020
Feature ranking for multi-target regression with tree ensemble methods
M Petković, S Džeroski, D Kocev
International Conference on Discovery Science, 171-185, 2017
172017
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
172017
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
132019
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
92019
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
62021
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
52018
Feature ranking for semi-supervised learning
M Petković, S Džeroski, D Kocev
Machine Learning, 1-30, 2022
42022
Fuzzy jaccard index: a robust comparison of ordered lists
M Petković, B Škrlj, D Kocev, N Simidjievski
Applied Soft Computing 113, 107849, 2021
42021
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
42020
Quantitative score for assessing the quality of feature rankings
I Slavkov, M Petković, D Kocev, S Džeroski
Informatica 42 (1), 2018
42018
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
32021
Multi-label feature ranking with ensemble methods
M Petković, S Džeroski, D Kocev
Machine Learning 109 (11), 2141-2159, 2020
32020
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
32020
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
22022
Estimating the Importance of Relational Features by Using Gradient Boosting
M Petković, M Ceci, K Kersting, S Džeroski
International Symposium on Methodologies for Intelligent Systems, 362-371, 2020
22020
Ensemble-based feature ranking for semi-supervised classification
M Petković, S Džeroski, D Kocev
International Conference on Discovery Science, 290-305, 2019
22019
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
12021
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