Todorovski, Ljupčo

23 publications

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 Correction to: Efficient Generator of Mathematical Expressions for Symbolic Regression Sebastian Meznar, Saso Dzeroski, Ljupco Todorovski

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

NeurIPS 2023 MLFMF: Data Sets for Machine Learning for Mathematical Formalization Andrej Bauer, Matej Petković, Ljupco Todorovski

ECML-PKDD 2017 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part I Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski

ECML-PKDD 2017 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski

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

AAAI 2012 Discovering Constraints for Inductive Process Modeling Ljupco Todorovski, Will Bridewell, Pat Langley

AAAI 2010 The Induction and Transfer of Declarative Bias Will Bridewell, Ljupco Todorovski

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

AAAI 2005 Inducing Hierarchical Process Models in Dynamic Domains Ljupco Todorovski, Will Bridewell, Oren Shiran, Pat Langley

ICML 2005 Reducing Overfitting in Process Model Induction Will Bridewell, Narges Bani Asadi, Pat Langley, Ljupco Todorovski

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

JMLR 2004 Subgroup Discovery with CN2-SD Nada Lavrač, Branko Kavšek, Peter Flach, Ljupčo Todorovski

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

ECML-PKDD 2003 Machine Learning: ECML 2003, 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings Nada Lavrac, Dragan Gamberger, Ljupco Todorovski, Hendrik Blockeel

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

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

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

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

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

ICML 1993 Discovering Dynamics Saso Dzeroski, Ljupco Todorovski