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ORCIDMatej Petkovic
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- affiliation: Jozef Stefan Institute, Ljubljana, Slovenia
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2020 – today
- 2023
[j11]Matej Petkovic, Saso Dzeroski, Dragi Kocev
:
Feature ranking for semi-supervised learning. Mach. Learn. 112(11): 4379-4408 (2023)- [j10]Matej Petkovic, Jurica Levatic, Dragi Kocev, Martin Breskvar, Saso Dzeroski:
CLUSplus: A decision tree-based framework for predicting structured outputs. SoftwareX 24: 101526 (2023) - [c9]Andrej Bauer, Matej Petkovic, Ljupco Todorovski:
MLFMF: Data Sets for Machine Learning for Mathematical Formalization. NeurIPS 2023 - [i13]Andrej Bauer, Matej Petkovic, Ljupco Todorovski:
MLFMF: Data Sets for Machine Learning for Mathematical Formalization. CoRR abs/2310.16005 (2023) - 2022
- [j9]Matej Petkovic, Michelangelo Ceci, Gianvito Pio, Blaz Skrlj, Kristian Kersting, Saso Dzeroski:
Relational tree ensembles and feature rankings. Knowl. Based Syst. 251: 109254 (2022) - [j8]Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic:
ReliefE: feature ranking in high-dimensional spaces via manifold embeddings. Mach. Learn. 111(1): 273-317 (2022) - [i12]Urh Primozic, Ljupco Todorovski, Matej Petkovic:
P(Expression|Grammar): Probability of deriving an algebraic expression with a probabilistic context-free grammar. CoRR abs/2212.00751 (2022) - 2021
- [j7]Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski:
Fuzzy Jaccard Index: A robust comparison of ordered lists. Appl. Soft Comput. 113(Part): 107849 (2021) - [j6]Matej Petkovic, Ivica Slavkov, Dragi Kocev, Saso Dzeroski:
Biomarker discovery by feature ranking: Evaluation on a case study of embryonal tumors. Comput. Biol. Medicine 128: 104143 (2021) - [j5]Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski:
Ensemble- and distance-based feature ranking for unsupervised learning. Int. J. Intell. Syst. 36(7): 3068-3086 (2021) - [c8]Urh Primozic, Blaz Skrlj, Saso Dzeroski, Matej Petkovic:
Unsupervised Feature Ranking via Attribute Networks. DS 2021: 334-343 - [c7]Blaz Skrlj, Matej Petkovic:
Compressibility of Distributed Document Representations. ICDM 2021: 1330-1335 - [i11]Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic:
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings. CoRR abs/2101.09577 (2021) - [i10]Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martínez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev:
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. CoRR abs/2108.01407 (2021) - [i9]Matej Petkovic, Luke Lucas, Tomaz Stepisnik, Pance Panov, Nikola Simidjievski, Dragi Kocev:
Discovering outliers in the Mars Express thermal power consumption patterns. CoRR abs/2108.02067 (2021) - [i8]Blaz Skrlj, Matej Petkovic:
Compressibility of Distributed Document Representations. CoRR abs/2110.07595 (2021) - [i7]Urh Primozic, Blaz Skrlj, Saso Dzeroski, Matej Petkovic:
Unsupervised Feature Ranking via Attribute Networks. CoRR abs/2111.13273 (2021) - 2020
- [j4]Matej Petkovic, Dragi Kocev, Saso Dzeroski:
Feature ranking for multi-target regression. Mach. Learn. 109(6): 1179-1204 (2020) - [j3]Matej Petkovic, Saso Dzeroski, Dragi Kocev:
Multi-label feature ranking with ensemble methods. Mach. Learn. 109(11): 2141-2159 (2020) - [j2]Ivica Slavkov, Matej Petkovic, Pierre Geurts, Dragi Kocev, Saso Dzeroski:
Error curves for evaluating the quality of feature rankings. PeerJ Comput. Sci. 6: e310 (2020) - [c6]Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic:
Feature Importance Estimation with Self-Attention Networks. ECAI 2020: 1491-1498 - [c5]Matej Petkovic, Michelangelo Ceci, Kristian Kersting, Saso Dzeroski:
Estimating the Importance of Relational Features by Using Gradient Boosting. ISMIS 2020: 362-371 - [i6]Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic:
Feature Importance Estimation with Self-Attention Networks. CoRR abs/2002.04464 (2020) - [i5]Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski:
Fuzzy Jaccard Index: A robust comparison of ordered lists. CoRR abs/2008.02216 (2020) - [i4]Matej Petkovic, Saso Dzeroski, Dragi Kocev:
Feature Ranking for Semi-supervised Learning. CoRR abs/2008.03937 (2020) - [i3]Nikolaos Nikolaou, Ingo P. Waldmann, Angelos Tsiaras, Mario Morvan, Billy Edwards, Kai Hou Yip, Giovanna Tinetti, Subhajit Sarkar, James M. Dawson, Vadim Borisov, Gjergji Kasneci, Matej Petkovic, Tomaz Stepisnik, Tarek Al-Ubaidi, Rachel Louise Bailey, Michael Granitzer, Sahib Julka, Roman Kern, Patrick Ofner, Stefan Wagner, Lukas Heppe, Mirko Bunse, Katharina Morik:
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. CoRR abs/2010.15996 (2020) - [i2]Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski:
Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning. CoRR abs/2011.11679 (2020)
2010 – 2019
- 2019
- [c4]Matej Petkovic, Saso Dzeroski, Dragi Kocev:
Ensemble-Based Feature Ranking for Semi-supervised Classification. DS 2019: 290-305 - 2018
- [j1]Ivica Slavkov, Matej Petkovic, Dragi Kocev, Saso Dzeroski:
Quantitative Score for Assessing the Quality of Feature Rankings. Informatica (Slovenia) 42(1) (2018) - [c3]Matej Petkovic, Dragi Kocev, Saso Dzeroski:
Feature Ranking with Relief for Multi-label Classification: Does Distance Matter? DS 2018: 51-65 - [i1]Matej Petkovic, Redouane Boumghar, Martin Breskvar, Saso Dzeroski, Dragi Kocev, Jurica Levatic, Luke Lucas, Aljaz Osojnik, Bernard Zenko, Nikola Simidjievski:
Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. CoRR abs/1809.00542 (2018) - 2017
- [c2]Matej Petkovic, Saso Dzeroski, Dragi Kocev:
Feature Ranking for Multi-target Regression with Tree Ensemble Methods. DS 2017: 171-185 - 2016
- [c1]Matej Petkovic, Pance Panov, Saso Dzeroski:
A Comparison of Different Data Transformation Approaches in the Feature Ranking Context. DS 2016: 310-324
Coauthor Index
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