Matej Petkovic

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 33

Top Topics

Machine Learning

Feature Ranking

Power Consumption

Top Venues

Publications

Matej Petkovic, Saso Dzeroski, Dragi Kocev
Feature ranking for semi-supervised learning. Mach. Learn. 112 (11) (2023)
Matej Petkovic, Jurica Levatic, Dragi Kocev, Martin Breskvar, Saso Dzeroski
CLUSplus: A decision tree-based framework for predicting structured outputs. SoftwareX 24 (2023)
Andrej Bauer, Matej Petkovic, Ljupco Todorovski
MLFMF: Data Sets for Machine Learning for Mathematical Formalization. CoRR (2023)
Andrej Bauer, Matej Petkovic, Ljupco Todorovski
MLFMF: Data Sets for Machine Learning for Mathematical Formalization. NeurIPS (2023)
Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
ReliefE: feature ranking in high-dimensional spaces via manifold embeddings. Mach. Learn. 111 (1) (2022)
Matej Petkovic, Michelangelo Ceci, Gianvito Pio, Blaz Skrlj, Kristian Kersting, Saso Dzeroski
Relational tree ensembles and feature rankings. Knowl. Based Syst. 251 (2022)
Urh Primozic, Ljupco Todorovski, Matej Petkovic
P(Expression|Grammar): Probability of deriving an algebraic expression with a probabilistic context-free grammar. CoRR (2022)
Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martinez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. CoRR (2021)
Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski
Fuzzy Jaccard Index: A robust comparison of ordered lists. Appl. Soft Comput. 113 (Part) (2021)
Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings. CoRR (2021)
Urh Primozic, Blaz Skrlj, Saso Dzeroski, Matej Petkovic
Unsupervised Feature Ranking via Attribute Networks. DS (2021)
Matej Petkovic, Luke Lucas, Tomaz Stepisnik, Pance Panov, Nikola Simidjievski, Dragi Kocev
Discovering outliers in the Mars Express thermal power consumption patterns. CoRR (2021)
Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski
Ensemble- and distance-based feature ranking for unsupervised learning. Int. J. Intell. Syst. 36 (7) (2021)
Blaz Skrlj, Matej Petkovic
Compressibility of Distributed Document Representations. CoRR (2021)
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 (2021)
Urh Primozic, Blaz Skrlj, Saso Dzeroski, Matej Petkovic
Unsupervised Feature Ranking via Attribute Networks. CoRR (2021)
Blaz Skrlj, Matej Petkovic
Compressibility of Distributed Document Representations. ICDM (2021)
Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
Feature Importance Estimation with Self-Attention Networks. ECAI (2020)
Matej Petkovic, Dragi Kocev, Saso Dzeroski
Feature ranking for multi-target regression. Mach. Learn. 109 (6) (2020)
Matej Petkovic, Saso Dzeroski, Dragi Kocev
Feature Ranking for Semi-supervised Learning. CoRR (2020)
Matej Petkovic, Saso Dzeroski, Dragi Kocev
Multi-label feature ranking with ensemble methods. Mach. Learn. 109 (11) (2020)
Ivica Slavkov, Matej Petkovic, Pierre Geurts, Dragi Kocev, Saso Dzeroski
Error curves for evaluating the quality of feature rankings. PeerJ Comput. Sci. 6 (2020)
Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
Feature Importance Estimation with Self-Attention Networks. CoRR (2020)
Matej Petkovic, Michelangelo Ceci, Kristian Kersting, Saso Dzeroski
Estimating the Importance of Relational Features by Using Gradient Boosting. ISMIS (2020)
Matej Petkovic, Blaz Skrlj, Dragi Kocev, Nikola Simidjievski
Fuzzy Jaccard Index: A robust comparison of ordered lists. CoRR (2020)
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 (2020)
Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski
Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning. CoRR (2020)
Matej Petkovic, Saso Dzeroski, Dragi Kocev
Ensemble-Based Feature Ranking for Semi-supervised Classification. DS (2019)
Matej Petkovic, Dragi Kocev, Saso Dzeroski
Feature Ranking with Relief for Multi-label Classification: Does Distance Matter? DS (2018)
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 (2018)
Ivica Slavkov, Matej Petkovic, Dragi Kocev, Saso Dzeroski
Quantitative Score for Assessing the Quality of Feature Rankings. Informatica (Slovenia) 42 (1) (2018)
Matej Petkovic, Saso Dzeroski, Dragi Kocev
Feature Ranking for Multi-target Regression with Tree Ensemble Methods. DS (2017)
Matej Petkovic, Pance Panov, Saso Dzeroski
A Comparison of Different Data Transformation Approaches in the Feature Ranking Context. DS (2016)