Džeroski, Sašo

49 publications

MLJ 2025 Assessing the Risk of Discriminatory Bias in Classification Datasets Kejun Dai, Jonathan Kim, Saso Dzeroski, Jörg Wicker, Gillian Dobbie, Katharina Dost

MLJ 2025 Semi-Supervised Learning from Tabular Data with Autoencoders: When Does It Work? Sintija Stevanoska, Jurica Levatic, Saso Dzeroski

MLJ 2025 iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-Target Regression and Multi-Label Classification Aljaz Osojnik, Pance Panov, Saso Dzeroski

MLJ 2024 Change Detection and Adaptation in Multi-Target Regression on Data Streams Bozhidar Stevanoski, Ana Kostovska, Pance Panov, Saso Dzeroski

MLJ 2024 Probabilistic Grammars for Modeling Dynamical Systems from Coarse, Noisy, and Partial Data Nina Omejc, Bostjan Gec, Jure Brence, Ljupco Todorovski, Saso Dzeroski

MLJ 2023 Efficient Generator of Mathematical Expressions for Symbolic Regression Sebastian Meznar, Saso Dzeroski, Ljupco Todorovski

MLJ 2023 Feature Ranking for Semi-Supervised Learning Matej Petkovic, Saso Dzeroski, Dragi Kocev

MLJ 2023 Surrogate Models of Radiative Transfer Codes for Atmospheric Trace Gas Retrievals from Satellite Observations Jure Brence, Jovan Tanevski, Jennifer Adams, Edward Malina, Saso Dzeroski

MLJ 2022 ReliefE: Feature Ranking in High-Dimensional Spaces via Manifold Embeddings Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic

MLJ 2020 Feature Ranking for Multi-Target Regression Matej Petkovic, Dragi Kocev, Saso Dzeroski

MLJ 2020 Incremental Predictive Clustering Trees for Online Semi-Supervised Multi-Target Regression Aljaz Osojnik, Pance Panov, Saso Dzeroski

MLJ 2020 Multi-Label Feature Ranking with Ensemble Methods Matej Petkovic, Saso Dzeroski, Dragi Kocev

MLJ 2018 Ensembles for Multi-Target Regression with Random Output Selections Martin Breskvar, Dragi Kocev, Saso Dzeroski

ECML-PKDD 2018 MetaBags: Bagged Meta-Decision Trees for Regression Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski

ECML-PKDD 2017 Image Representation, Annotation and Retrieval with Predictive Clustering Trees Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski

MLJ 2017 Multi-Label Classification via Multi-Target Regression on Data Streams Aljaz Osojnik, Pance Panov, Saso Dzeroski

ECML-PKDD 2017 Process-Based Modeling and Design of Dynamical Systems Jovan Tanevski, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski

MLJ 2016 Special Issue on Discovery Science Saso Dzeroski, Dragi Kocev, Pance Panov

JMLR 2012 Multi-Target Regression with Rule Ensembles Timo Aho, Bernard Ženko, Sašo Džeroski, Tapio Elomaa

ECML-PKDD 2011 Network Regression with Predictive Clustering Trees Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski

ICML 2011 Speeding-up Hoeffding-Based Regression Trees with Options Elena Ikonomovska, João Gama, Bernard Zenko, Saso Dzeroski

MLJ 2008 Decision Trees for Hierarchical Multi-Label Classification Celine Vens, Jan Struyf, Leander Schietgat, Saso Dzeroski, Hendrik Blockeel

MLJ 2008 Inductive Process Modeling Will Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski

MLJ 2006 First Order Random Forests: Learning Relational Classifiers with Complex Aggregates Anneleen Van Assche, Celine Vens, Hendrik Blockeel, Saso Dzeroski

ICML 2005 Combining Model-Based and Instance-Based Learning for First Order Regression Kurt Driessens, Saso Dzeroski

ECML-PKDD 2004 Inducing Polynomial Equations for Regression Ljupco Todorovski, Peter Ljubic, Saso Dzeroski

MLJ 2004 Integrating Guidance into Relational Reinforcement Learning Kurt Driessens, Saso Dzeroski

MLJ 2004 Is Combining Classifiers with Stacking Better than Selecting the Best One? Saso Dzeroski, Bernard Zenko

MLJ 2003 Combining Classifiers with Meta Decision Trees Ljupco Todorovski, Saso Dzeroski

ICML 2002 Inducing Process Models from Continuous Data Pat Langley, Javier Nicolás Sánchez, Ljupco Todorovski, Saso Dzeroski

ICML 2002 Integrating Experimentation and Guidance in Relational Reinforcement Learning Kurt Driessens, Saso Dzeroski

ICML 2002 Is Combining Classifiers Better than Selecting the Best One Saso Dzeroski, Bernard Zenko

ECML-PKDD 2002 Ranking with Predictive Clustering Trees Ljupco Todorovski, Hendrik Blockeel, Saso Dzeroski

ECML-PKDD 2002 Stacking with an Extended Set of Meta-Level Attributes and MLR Bernard Zenko, Saso Dzeroski

MLJ 2001 Relational Reinforcement Learning Saso Dzeroski, Luc De Raedt, Kurt Driessens

ECML-PKDD 2001 Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery Ljupco Todorovski, Saso Dzeroski

ICML 2000 Discovering the Structure of Partial Differential Equations from Example Behaviour Ljupco Todorovski, Saso Dzeroski, Ashwin Srinivasan, Jonathan P. Whiteley, David Gavaghan

ECML-PKDD 1998 ILP Experiments in Detecting Traffic Problems Saso Dzeroski, Nico Jacobs, Martín Molina, Carlos Moure

ICML 1998 Relational Reinforcement Learning Saso Dzeroski, Luc De Raedt, Hendrik Blockeel

ICML 1997 Declarative Bias in Equation Discovery Ljupco Todorovski, Saso Dzeroski

IJCAI 1997 Integrating Explanatory and Descriptive Learning in ILP Yannis Dimopoulos, Saso Dzeroski, Antonis C. Kakas

ALT 1996 Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois Dragan Gamberger, Nada Lavrac, Saso Dzeroski

ECML-PKDD 1995 Handling Real Numbers in ILP: A Step Towards Better Behavioural Clones (Extended Abstract) Saso Dzeroski, Ljupco Todorovski, Tanja Urbancic

ECML-PKDD 1994 Discovering Dynamics with Genetic Programming Saso Dzeroski, Igor Petrovski

ICML 1993 Discovering Dynamics Saso Dzeroski, Ljupco Todorovski

ECML-PKDD 1993 Learnability of Constrained Logic Programs Saso Dzeroski, Stephen H. Muggleton, Stuart Russell

IJCAI 1993 Multiple Predicate Learning Luc De Raedt, Nada Lavrac, Saso Dzeroski

COLT 1992 PAC-Learnability of Determinate Logic Programs Saso Dzeroski, Stephen H. Muggleton, Stuart Russell

ICML 1991 Learning Relations from Noisy Examples: An Empirical Comparison of LINUS and FOIL Saso Dzeroski, Nada Lavrac