A Comparison of Different Data Transformation Approaches in the Feature Ranking Context. - Matej Petkovic; Pance Panov; Saso Dzeroski (DS, 2016)

Feature Ranking for Multi-target Regression with Tree Ensemble Methods. - Matej Petkovic; Saso Dzeroski; Dragi Kocev (DS, 2017)

Feature Ranking with Relief for Multi-label Classification: Does Distance Matter? - Matej Petkovic; Dragi Kocev; Saso Dzeroski (DS, 2018)

Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. - Matej Petkovic; Redouane Boumghar; Martin Breskvar; Saso Dzeroski; Dragi Kocev; Jurica Levatic; Luke Lucas; Aljaz Osojnik; Bernard Zenko; Nikola Simidjievski (CoRR, 2018)

Quantitative Score for Assessing the Quality of Feature Rankings. - Ivica Slavkov; Matej Petkovic; Dragi Kocev; Saso Dzeroski (Informatica (Slovenia), 2018)

Ensemble-Based Feature Ranking for Semi-supervised Classification. - Matej Petkovic; Saso Dzeroski; Dragi Kocev (DS, 2019)

Feature Importance Estimation with Self-Attention Networks. - Blaz Skrlj; Saso Dzeroski; Nada Lavrac; Matej Petkovic (ECAI, 2020)

Estimating the Importance of Relational Features by Using Gradient Boosting. - Matej Petkovic; Michelangelo Ceci; Kristian Kersting; Saso Dzeroski (ISMIS, 2020)

Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. - 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; et al. (CoRR, 2020)

Multi-label feature ranking with ensemble methods. - Matej Petkovic; Saso Dzeroski; Dragi Kocev (Mach. Learn., 2020)

Feature ranking for multi-target regression. - Matej Petkovic; Dragi Kocev; Saso Dzeroski (Mach. Learn., 2020)

Error curves for evaluating the quality of feature rankings. - Ivica Slavkov; Matej Petkovic; Pierre Geurts; Dragi Kocev; Saso Dzeroski (PeerJ Comput. Sci., 2020)

Unsupervised Feature Ranking via Attribute Networks. - Urh Primozic; Blaz Skrlj; Saso Dzeroski; Matej Petkovic (DS, 2021)

Compressibility of Distributed Document Representations. - Blaz Skrlj; Matej Petkovic (ICDM, 2021)

Fuzzy Jaccard Index: A robust comparison of ordered lists. - Matej Petkovic; Blaz Skrlj; Dragi Kocev; Nikola Simidjievski (Appl. Soft Comput., 2021)

Biomarker discovery by feature ranking: Evaluation on a case study of embryonal tumors. - Matej Petkovic; Ivica Slavkov; Dragi Kocev; Saso Dzeroski (Comput. Biol. Medicine, 2021)

GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. - Ana Kostovska; Matej Petkovic; Tomaz Stepisnik; Luke Lucas; Timothy Finn; José Antonio Martínez Heras; Pance Panov; Saso Dzeroski; Alessandro Donati; Nikola Simidjievski; Dragi Kocev (CoRR, 2021)

Discovering outliers in the Mars Express thermal power consumption patterns. - Matej Petkovic; Luke Lucas; Tomaz Stepisnik; Pance Panov; Nikola Simidjievski; Dragi Kocev (CoRR, 2021)

Ensemble- and distance-based feature ranking for unsupervised learning. - Matej Petkovic; Dragi Kocev; Blaz Skrlj; Saso Dzeroski (Int. J. Intell. Syst., 2021)

P(Expression|Grammar): Probability of deriving an algebraic expression with a probabilistic context-free grammar. - Urh Primozic; Ljupco Todorovski; Matej Petkovic (CoRR, 2022)

Relational tree ensembles and feature rankings. - Matej Petkovic; Michelangelo Ceci; Gianvito Pio; Blaz Skrlj; Kristian Kersting; Saso Dzeroski (Knowl. Based Syst., 2022)

ReliefE: feature ranking in high-dimensional spaces via manifold embeddings. - Blaz Skrlj; Saso Dzeroski; Nada Lavrac; Matej Petkovic (Mach. Learn., 2022)

MLFMF: Data Sets for Machine Learning for Mathematical Formalization. - Andrej Bauer; Matej Petkovic; Ljupco Todorovski (NeurIPS, 2023)

Feature ranking for semi-supervised learning. - Matej Petkovic; Saso Dzeroski; Dragi Kocev (Mach. Learn., 2023)

CLUSplus: A decision tree-based framework for predicting structured outputs. - Matej Petkovic; Jurica Levatic; Dragi Kocev; Martin Breskvar; Saso Dzeroski (SoftwareX, 2023)