Следене
Matej Petković
Matej Petković
Faculty of mathematics and physics, Universtity of Ljubljana
Потвърден имейл адрес: fmf.uni-lj.si
Заглавие
Позовавания
Позовавания
Година
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
2192020
Feature ranking for multi-target regression
M Petković, D Kocev, S Džeroski
Machine Learning 109, 1179-1204, 2020
672020
Feature importance estimation with self-attention networks
B Škrlj, S Džeroski, N Lavrač, M Petković
ECAI 2020, 1491-1498, 2020
562020
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
202017
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
192017
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
182019
Fuzzy jaccard index: a robust comparison of ordered lists
M Petković, B Škrlj, D Kocev, N Simidjievski
Applied Soft Computing 113, 107849, 2021
162021
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
142023
Feature ranking for semi-supervised learning
M Petković, S Džeroski, D Kocev
Machine Learning 112 (11), 4379-4408, 2023
132023
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
132020
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
112019
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
82021
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
72018
MLFMF: data sets for machine learning for mathematical formalization
A Bauer, M Petković, L Todorovski
Advances in Neural Information Processing Systems 36, 2024
62024
Relational tree ensembles and feature rankings
M Petković, M Ceci, G Pio, B Škrlj, K Kersting, S Džeroski
Knowledge-Based Systems 251, 109254, 2022
62022
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
62022
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
62021
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
62021
Multi-label feature ranking with ensemble methods
M Petković, S Džeroski, D Kocev
Machine Learning 109, 2141-2159, 2020
62020
CLUSplus: A decision tree-based framework for predicting structured outputs
M Petković, J Levatić, D Kocev, M Breskvar, S Džeroski
SoftwareX 24, 101526, 2023
52023
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20