| 2025 | DIS | Bayesian Grammar Refinement for Efficient Equation Discovery. | Jure Brence, Saso Dzeroski, Ljupco Todorovski |
| 2025 | DIS | FoodSEM: Large Language Model Specialized in Food Named-Entity Linking. | Ana Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, Saso Dzeroski, Barbara Korousic-Seljak, Tome Eftimov |
| 2025 | DIS | A Variational Autoencoder for N-Ary Trees. | Martin Percinic, Sebastian Meznar, Ljupco Todorovski, Saso Dzeroski |
| 2025 | DIS | Selecting Unlabeled Data for Tabular Self-Supervised Learning. | Sintija Stevanoska, Katharina Dost, Christian L. Camacho Villaln, Saso Dzeroski |
| 2025 | GECCO | Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction. | Ana Kostovska, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov |
| 2023 | DIS | iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-target Regression. | Aljaz Osojnik, Pance Panov, Saso Dzeroski |
| 2023 | GECCO | Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. | Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr |
| 2023 | GECCO | Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. | Ana Nikolikj, Saso Dzeroski, Mario Andrs Muoz, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2023 | SAC | Aging and rejuvenating strategies for fading windows in multi-label classification on data streams. | Martha I. Roseberry, Saso Dzeroski, Albert Bifet, Alberto Cano |
| 2022 | DIS | Discovery of Differential Equations Using Probabilistic Grammars. | Bostjan Gec, Nina Omejc, Jure Brence, Saso Dzeroski, Ljupco Todorovski |
| 2022 | GECCO | The importance of landscape features for performance prediction of modular CMA-ES variants. | Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2021 | DIS | Unsupervised Feature Ranking via Attribute Networks. | Urh Primozic, Blaz Skrlj, Saso Dzeroski, Matej Petkovic |
| 2021 | GECCO | OPTION: optimization algorithm benchmarking ontology. | Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov |
| 2020 | DIS | Learning Surrogates of a Radiative Transfer Model for the Sentinel 5P Satellite. | Jure Brence, Jovan Tanevski, Jennifer Adams, Edward Malina, Saso Dzeroski |
| 2020 | DIS | Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema. | Ana Kostovska, Saso Dzeroski, Pance Panov |
| 2020 | DIS | Semantic Annotation of Predictive Modelling Experiments. | Ilin Tolovski, Saso Dzeroski, Pance Panov |
| 2020 | DIS | Hierarchy Decomposition Pipeline: A Toolbox for Comparison of Model Induction Algorithms on Hierarchical Multi-label Classification Problems. | Vedrana Vidulin, Saso Dzeroski |
| 2020 | ECAI | Feature Importance Estimation with Self-Attention Networks. | Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic |
| 2020 | ISMIS | Predicting Associations Between Proteins and Multiple Diseases. | Martin Breskvar, Saso Dzeroski |
| 2020 | ISMIS | Estimating the Importance of Relational Features by Using Gradient Boosting. | Matej Petkovic, Michelangelo Ceci, Kristian Kersting, Saso Dzeroski |
| 2019 | DIS | Utilizing Hierarchies in Tree-Based Online Structured Output Prediction. | Aljaz Osojnik, Pance Panov, Saso Dzeroski |
| 2019 | DIS | Ensemble-Based Feature Ranking for Semi-supervised Classification. | Matej Petkovic, Saso Dzeroski, Dragi Kocev |
| 2019 | DIS | Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining. | Bozhidar Stevanoski, Dragi Kocev, Aljaz Osojnik, Ivica Dimitrovski, Saso Dzeroski |
| 2018 | DIS | Extending Redescription Mining to Multiple Views. | Matej Mihelcic, Saso Dzeroski, Tomislav Smuc |
| 2018 | DIS | Feature Ranking with Relief for Multi-label Classification: Does Distance Matter? | Matej Petkovic, Dragi Kocev, Saso Dzeroski |
| 2017 | AIME | Modelling Time-Series of Glucose Measurements from Diabetes Patients Using Predictive Clustering Trees. | Mate Bestek, Dragi Kocev, Saso Dzeroski, Andrej Brodnik, Rade Iljaz |
| 2017 | DIS | Multi-label Classification Using Random Label Subset Selections. | Martin Breskvar, Dragi Kocev, Saso Dzeroski |
| 2017 | DIS | General Meta-Model Framework for Surrogate-Based Numerical Optimization. | Ziga Luksic, Jovan Tanevski, Saso Dzeroski, Ljupco Todorovski |
| 2017 | DIS | Option Predictive Clustering Trees for Hierarchical Multi-label Classification. | Tomaz Stepisnik Perdih, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev |
| 2017 | DIS | Feature Ranking for Multi-target Regression with Tree Ensemble Methods. | Matej Petkovic, Saso Dzeroski, Dragi Kocev |
| 2017 | IDA | Predictive Clustering Trees for Hierarchical Multi-Target Regression. | Vanja Mileski, Saso Dzeroski, Dragi Kocev |
| 2016 | DIS | Option Predictive Clustering Trees for Multi-target Regression. | Aljaz Osojnik, Saso Dzeroski, Dragi Kocev |
| 2016 | DIS | A Comparison of Different Data Transformation Approaches in the Feature Ranking Context. | Matej Petkovic, Pance Panov, Saso Dzeroski |
| 2016 | DIS | Learning Ensembles of Process-Based Models by Bagging of Random Library Samples. | Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski |
| 2015 | DIS | Multi-label Classification via Multi-target Regression on Data Streams. | Aljaz Osojnik, Pance Panov, Saso Dzeroski |
| 2014 | ECAI | Multi-objective learning of hybrid classifiers. | Rok Piltaver, Mitja Lustrek, Jernej Zupancic, Saso Dzeroski, Matjaz Gams |
| 2013 | DIS | Model Tree Ensembles for Modeling Dynamic Systems. | Darko Aleksovski, Jus Kocijan, Saso Dzeroski |
| 2013 | DIS | Fast and Scalable Image Retrieval Using Predictive Clustering Trees. | Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski |
| 2013 | DIS | OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process. | Pance Panov, Larisa N. Soldatova, Saso Dzeroski |
| 2013 | DIS | Learning Hierarchical Multi-label Classification Trees from Network Data. | Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Saso Dzeroski |
| 2013 | DIS | Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis. | Jovan Tanevski, Ljupco Todorovski, Yannis Kalaidzidis, Saso Dzeroski |
| 2011 | DIS | Predicting Structured Outputs k-Nearest Neighbours Method. | Mitja Pugelj, Saso Dzeroski |
| 2011 | DIS | Global and Local Spatial Autocorrelation in Predictive Clustering Trees. | Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski |
| 2011 | EDBT | Regression on evolving multi-relational data streams. | Elena Ikonomovska, Saso Dzeroski |
| 2011 | IBPRIA | Dual Layer Voting Method for Efficient Multi-label Classification. | Gjorgji Madjarov, Dejan Gjorgjevikj, Saso Dzeroski |
| 2011 | ICDM | Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams. | Elena Ikonomovska, Kurt Driessens, Saso Dzeroski, Joo Gama |
| 2011 | ICFCA | Inductive Databases and Constraint-Based Data Mining. | Saso Dzeroski |
| 2011 | ICML | Speeding-Up Hoeffding-Based Regression Trees With Options. | Elena Ikonomovska, Joo Gama, Bernard Zenko, Saso Dzeroski |
| 2011 | SAC | Incremental multi-target model trees for data streams. | Elena Ikonomovska, Joo Gama, Saso Dzeroski |
| 2010 | ICPR | Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-Label Classification. | Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski |
| 2009 | DIS | Towards an Ontology of Data Mining Investigations. | Pance Panov, Larisa N. Soldatova, Saso Dzeroski |
| 2009 | ICDM | Rule Ensembles for Multi-target Regression. | Timo Aho, Bernard Zenko, Saso Dzeroski |
| 2008 | ICDM | OntoDM: An Ontology of Data Mining. | Pance Panov, Saso Dzeroski, Larisa N. Soldatova |
| 2008 | PAKDD | A Minimal Description Length Scheme for Polynomial Regression. | Aleksandar Peckov, Saso Dzeroski, Ljupco Todorovski |
| 2008 | PAKDD | Learning Classification Rules for Multiple Target Attributes. | Bernard Zenko, Saso Dzeroski |
| 2007 | IDA | Combining Bagging and Random Subspaces to Create Better Ensembles. | Pance Panov, Saso Dzeroski |
| 2006 | DIS | Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations. | Taneli Mielikinen, Pance Panov, Saso Dzeroski |
| 2006 | JELIA | From Inductive Logic Programming to Relational Data Mining. | Saso Dzeroski |
| 2006 | LREC | Towards a Slovene Dependency Treebank. | Saso Dzeroski, Tomaz Erjavec, Nina Ledinek, Petr Pajas, Zdenek Zabokrtsk, Anreja Zele |
| 2005 | EPIA | Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics. | Jan Struyf, Saso Dzeroski, Hendrik Blockeel, Amanda Clare |
| 2005 | ICML | Combining model-based and instance-based learning for first order regression. | Kurt Driessens, Saso Dzeroski |
| 2004 | DaWaK | Inductive Databases of Polynomial Equations. | Saso Dzeroski, Ljupco Todorovski, Peter Ljubic |
| 2004 | ILP | First Order Random Forests with Complex Aggregates. | Celine Vens, Anneleen Van Assche, Hendrik Blockeel, Saso Dzeroski |
| 2003 | DIS | Using Constraints in Discovering Dynamics. | Saso Dzeroski, Ljupco Todorovski, Peter Ljubic |
| 2003 | DIS | Modelling Soil Radon Concentration for Earthquake Prediction. | Saso Dzeroski, Ljupco Todorovski, Boris Zmazek, Janja Vaupotic, Ivan Kobal |
| 2003 | IDA | Using Domain Specific Knowledge for Automated Modeling. | Ljupco Todorovski, Saso Dzeroski |
| 2002 | AAMAS | Relational Reinforcement Learning for Agents in Worlds with Objects. | Saso Dzeroski |
| 2002 | ICML | Integrating Experimentation and Guidance in Relational Reinforcement Learning. | Kurt Driessens, Saso Dzeroski |
| 2002 | ICML | Is Combining Classifiers Better than Selecting the Best One. | Saso Dzeroski, Bernard Zenko |
| 2002 | ICML | Inducing Process Models from Continuous Data. | Pat Langley, Javier Nicols Snchez, Ljupco Todorovski, Saso Dzeroski |
| 2002 | ILP | Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery. | Saso Dzeroski |
| 2002 | LREC | A Machine Learning Approach to Automatic Functor Assignment in the Prague Dependency Treebank. | Zdenek Zabokrtsk, Petr Sgall, Saso Dzeroski |
| 2001 | AMIA | Literature-based Discovery Support System and Its Application to Disease Gene Identification. | Dimitar Hristovski, Borut Peterlin, Saso Dzeroski |
| 2001 | DIS | Computational Discovery of Communicable Knowledge: Symposium Report. | Saso Dzeroski, Pat Langley |
| 2001 | DIS | Theory Revision in Equation Discovery. | Ljupco Todorovski, Saso Dzeroski |
| 2001 | ICDM | A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods. | Bernard Zenko, Ljupco Todorovski, Saso Dzeroski |
| 2000 | AMIA | Using data mining and OLAP to discover patterns in a database of patients with Y-chromosome deletions. | Saso Dzeroski, Dimitar Hristovski, Borut Peterlin |
| 2000 | ICML | Discovering the Structure of Partial Differential Equations from Example Behaviour. | Ljupco Todorovski, Saso Dzeroski, Ashwin Srinivasan, Jonathan P. Whiteley, David Gavaghan |
| 2000 | LREC | Morphosyntactic Tagging of Slovene: Evaluating Taggers and Tagsets. | Saso Dzeroski, Tomaz Erjavec, Jakub Zavrel |
| 1999 | ILP | Morphosyntactic Tagging of Slovene Using Progol. | James Cussens, Saso Dzeroski, Tomaz Erjavec |
| 1999 | ILP | Experiments in Predicting Biodegradability. | Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer |
| 1998 | ICML | Relational Reinforcement Learning. | Saso Dzeroski, Luc De Raedt, Hendrik Blockeel |
| 1998 | ILP | Detecting Traffic Problems with ILP. | Saso Dzeroski, Nico Jacobs, Martn Molina, Carlos Moure, Stephen H. Muggleton, Wim Van Laer |
| 1998 | ILP | Relational Reinforcement Learning. | Saso Dzeroski, Luc De Raedt, Hendrik Blockeel |
| 1998 | ILP | Learning Multilingual Morphology with CLOG. | Suresh Manandhar, Saso Dzeroski, Tomaz Erjavec |
| 1997 | AIME | Automated Revision of Expert Rules for Treating Acute Abdominal Pain in Children. | Saso Dzeroski, George Potamias, Vassilis Moustakis, Giorgos Charissis |
| 1997 | AIME | Acquiring and Validating Background Knowledge for Machine Learning Using Function Decomposition. | Blaz Zupan, Saso Dzeroski |
| 1997 | ICML | Declarative Bias in Equation Discovery. | Ljupco Todorovski, Saso Dzeroski |
| 1997 | IJCAI | Integrating Explanatory and Descriptive Learning in ILP. | Yannis Dimopoulos, Saso Dzeroski, Antonis C. Kakas |
| 1997 | ILP | Induction of Slovene Nominal Paradigms. | Saso Dzeroski, Tomaz Erjavec |
| 1997 | ISMIS | On Multi-class Problems and Discretization in Inductive Logic Programming. | Wim Van Laer, Luc De Raedt, Saso Dzeroski |
| 1996 | ALT | Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois. | Dragan Gamberger, Nada Lavrac, Saso Dzeroski |
| 1996 | ILP | Applying ILP to Diterpene Structure Elucidation from | Saso Dzeroski, Steffen Schulze-Kremer, Karsten R. Heidtke, Karsten Siems, Dietrich Wettschereck |
| 1995 | KDD | Knowledge Discovery in a Water Quality Database. | Saso Dzeroski |
| 1993 | ICML | Discovering Dynamics. | Saso Dzeroski, Ljupco Todorovski |
| 1993 | IJCAI | Multiple Predicate Learning. | Luc De Raedt, Nada Lavrac, Saso Dzeroski |
| 1992 | COLT | PAC-Learnability of Determinate Logic Programs. | Saso Dzeroski, Stephen H. Muggleton, Stuart Russell |
| 1991 | ICML | Learning Relations from Noisy Examples: An Empirical Comparison of LINUS and FOIL. | Saso Dzeroski, Nada Lavrac |