Saso Dzeroski - RankMe

380 papers A* 15A 4B 65C 4Misc 6Journal 173Unranked 91

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Machine Learning Approaches for Polarization Mapping in Ferroelectrics Using 4D-STEM. CoRR Matej Martinc, Goran Drazic, Anton Kokalj, Katarina Ziberna, Janina Roknic, Matic Poberznik, Saso Dzeroski, Andreja Bencan Golob
2026	J	`jnl`	HELM: Hierarchical and Explicit Label Modeling with Graph Learning for Multi-Label Image Classification. CoRR Marjan Stoimchev, Boshko Koloski, Jurica Levatic, Dragi Kocev, Saso Dzeroski
2026	J	`jnl`	MAPLE: Multi-Path Adaptive Propagation with Level-Aware Embeddings for Hierarchical Multi-Label Image Classification. CoRR Boshko Koloski, Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski
2026	J	`jnl`	Quantifying the Impact of Modules and Their Interactions in the PSO-X Framework. CoRR Christian L. Camacho Villalón, Ana Nikolikj, Katharina Dost, Eva Tuba, Saso Dzeroski, Tome Eftimov
2026	J	`jnl`	The future of fundamental science led by generative closed-loop artificial intelligence. Frontiers Artif. Intell. Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Jonathan E. Rowe, James A. Evans, Hiroaki Kitano, Ross D. King
2026	J	`jnl`	Uncertainty-Aware Extrapolation in Bayesian Oblique Trees. CoRR Viktor Andonovikj, Saso Dzeroski, Pavle Boskoski
2026	J	`jnl`	Variational oblique predictive clustering trees. Expert Syst. Appl. Viktor Andonovikj, Saso Dzeroski, Biljana Mileva-Boshkoska, Pavle Boskoski
2025	B	`conf`	A Variational Autoencoder for N-Ary Trees. DS Martin Percinic, Sebastian Meznar, Ljupco Todorovski, Saso Dzeroski
2025	J	`jnl`	Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery. CoRR Yanbo Zhang, Sumeer Ahmad Khan, Adnan Mahmud, Huck Yang, Alexander Lavin, Michael Levin, Jeremy G. Frey, Jared Dunnmon, James A. Evans, Alan R. Bundy, Saso Dzeroski, Jesper Tegnér, Hector Zenil
2025	J	`jnl`	Approximating the universal thermal climate index using sparse regression with orthogonal polynomials. CoRR Sabin Roman, Gregor Skok, Ljupco Todorovski, Saso Dzeroski
2025	J	`jnl`	Assessing the risk of discriminatory bias in classification datasets. Mach. Learn. Kejun Dai, Jonathan Kim, Saso Dzeroski, Jörg Wicker, Gillian Dobbie, Katharina Dost
2025	B	`conf`	Bayesian Grammar Refinement for Efficient Equation Discovery. DS Jure Brence, Saso Dzeroski, Ljupco Todorovski
2025	—	`conf`	Can Segment Anything Model Segment Just Some Things? Improving Zero-Shot Segmentation of Electron Microscopic Images with Clustering. EUVIP Matej Martinc, Anastasija Manojlovska, Saso Dzeroski
2025	B	`ed.`	Discovery Science - 28th International Conference, DS 2025, Ljubljana, Slovenia, September 23-25, 2025, Proceedings DS Saso Dzeroski, Jurica Levatic, Gianvito Pio, Nikola Simidjievski
2025	B	`conf`	FoodSEM: Large Language Model Specialized in Food Named-Entity Linking. DS Ana Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, Saso Dzeroski, Barbara Korousic-Seljak, Tome Eftimov
2025	J	`jnl`	FoodSEM: Large Language Model Specialized in Food Named-Entity Linking. CoRR Ana Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, Saso Dzeroski, Barbara Korousic-Seljak, Tome Eftimov
2025	—	`conf`	Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction. GECCO Companion Ana Kostovska, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2025	J	`jnl`	Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction. CoRR Ana Kostovska, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2025	J	`jnl`	SSL-MAE: Adaptive Semisupervised Learning Framework for Multilabel Classification of Remote Sensing Images Using Masked Autoencoders. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski
2025	B	`conf`	Selecting Unlabeled Data for Tabular Self-Supervised Learning. DS Sintija Stevanoska, Katharina Dost, Christian L. Camacho Villalón, Saso Dzeroski
2025	—	`conf`	Semi-Supervised and Multi-label Classification of Remotely Sensed Images. DARES@ECAI Saso Dzeroski
2025	J	`jnl`	Semi-supervised learning from tabular data with autoencoders: when does it work? Mach. Learn. Sintija Stevanoska, Jurica Levatic, Saso Dzeroski
2025	J	`jnl`	iSOUP-SymRF: Symbolic feature ranking with random forests in online multi-target regression and multi-label classification. Mach. Learn. Aljaz Osojnik, Pance Panov, Saso Dzeroski
2024	J	`jnl`	Change detection and adaptation in multi-target regression on data streams. Mach. Learn. Bozhidar Stevanoski, Ana Kostovska, Pance Panov, Saso Dzeroski
2024	J	`jnl`	MsGEN: Measuring generalization of nutrient value prediction across different recipe datasets. Expert Syst. Appl. Gordana Ispirova, Tome Eftimov, Saso Dzeroski, Barbara Korousic-Seljak
2024	J	`jnl`	Probabilistic grammars for modeling dynamical systems from coarse, noisy, and partial data. Mach. Learn. Nina Omejc, Bostjan Gec, Jure Brence, Ljupco Todorovski, Saso Dzeroski
2024	J	`jnl`	Quantifying Behavioural Distance Between Mathematical Expressions. CoRR Sebastian Meznar, Saso Dzeroski, Ljupco Todorovski
2024	J	`jnl`	Semi-Supervised Multi-Label Classification of Land Use/Land Cover in Remote Sensing Images With Predictive Clustering Trees and Ensembles. IEEE Trans. Geosci. Remote. Sens. Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski
2024	J	`jnl`	Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification. Int. J. Intell. Syst. Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2024	J	`jnl`	Survival analysis as semi-supervised multi-target regression for time-to-employment prediction using oblique predictive clustering trees. Expert Syst. Appl. Viktor Andonovikj, Pavle Boskoski, Saso Dzeroski, Biljana Mileva-Boshkoska
2023	Misc	`conf`	Aging and rejuvenating strategies for fading windows in multi-label classification on data streams. SAC Martha I. Roseberry, Saso Dzeroski, Albert Bifet, Alberto Cano
2023	A	`conf`	Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. GECCO Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
2023	J	`jnl`	Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. CoRR Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
2023	J	`jnl`	Artificial intelligence to advance Earth observation: a perspective. CoRR Devis Tuia, Konrad Schindler, Begüm Demir, Gustau Camps-Valls, Xiao Xiang Zhu, Mrinalini Kochupillai, Saso Dzeroski, Jan N. van Rijn, Holger H. Hoos, Fabio Del Frate, Mihai Datcu, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Bertrand Le Saux, Rochelle Schneider
2023	J	`jnl`	Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems. CoRR Stefan Kramer, Mattia Cerrato, Saso Dzeroski, Ross D. King
2023	J	`jnl`	Boosting the performance of quantum annealers using machine learning. Quantum Mach. Intell. Jure Brence, Dragan Mihailovic, Viktor V. Kabanov, Ljupco Todorovski, Saso Dzeroski, Jaka Vodeb
2023	J	`jnl`	CLUSplus: A decision tree-based framework for predicting structured outputs. SoftwareX Matej Petkovic, Jurica Levatic, Dragi Kocev, Martin Breskvar, Saso Dzeroski
2023	—	`conf`	Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. GECCO Companion Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr
2023	J	`jnl`	Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. CoRR Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr
2023	J	`jnl`	Correction to: efficient generator of mathematical expressions for symbolic regression. Mach. Learn. Sebastian Meznar, Saso Dzeroski, Ljupco Todorovski
2023	J	`jnl`	Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Images. Remote. Sens. Marjan Stoimchev, Dragi Kocev, Saso Dzeroski
2023	J	`jnl`	Dimensionally-consistent equation discovery through probabilistic attribute grammars. Inf. Sci. Jure Brence, Saso Dzeroski, Ljupco Todorovski
2023	J	`jnl`	Efficient Generator of Mathematical Expressions for Symbolic Regression. CoRR Sebastian Meznar, Saso Dzeroski, Ljupco Todorovski
2023	J	`jnl`	Efficient generator of mathematical expressions for symbolic regression. Mach. Learn. Sebastian Meznar, Saso Dzeroski, Ljupco Todorovski
2023	J	`jnl`	Empowering Participatory Research in Urban Health: Wearable Biometric and Environmental Sensors for Activity Recognition. Sensors Rok Novak, Johanna Amalia Robinson, Tjasa Kanduc, Dimosthenis Sarigiannis, Saso Dzeroski, David Kocman
2023	J	`jnl`	Feature ranking for semi-supervised learning. Mach. Learn. Matej Petkovic, Saso Dzeroski, Dragi Kocev
2023	J	`jnl`	OPTION: OPTImization Algorithm Benchmarking ONtology. IEEE Trans. Evol. Comput. Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2023	J	`jnl`	Space and Artificial Intelligence (Dagstuhl Seminar 23461). Dagstuhl Reports Saso Dzeroski, Holger H. Hoos, Bertrand Le Saux, Leendert van der Torre, Ana Kostovska
2023	J	`jnl`	Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations. Mach. Learn. Jure Brence, Jovan Tanevski, Jennifer Adams, Edward Malina, Saso Dzeroski
2023	J	`jnl`	The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Christopher K. I. Williams, Jonathan E. Rowe, James A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King
2023	—	`conf`	Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. EvoApplications@EvoStar Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr
2023	J	`jnl`	Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. CoRR Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr
2023	B	`conf`	iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-target Regression. DS Aljaz Osojnik, Pance Panov, Saso Dzeroski
2022	J	`jnl`	Boosting the Performance of Quantum Annealers using Machine Learning. CoRR Jure Brence, Dragan Mihailovic, Viktor V. Kabanov, Ljupco Todorovski, Saso Dzeroski, Jaka Vodeb
2022	J	`jnl`	Comprehensive comparative study of multi-label classification methods. Expert Syst. Appl. Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
2022	J	`jnl`	Determining Exception Context in Assembly Operations from Multimodal Data. Sensors Mihael Simonic, Matevz Majcen Hrovat, Saso Dzeroski, Ales Ude, Bojan Nemec
2022	B	`conf`	Discovery of Differential Equations Using Probabilistic Grammars. DS Bostjan Gec, Nina Omejc, Jure Brence, Saso Dzeroski, Ljupco Todorovski
2022	—	`conf`	Explainable Model-specific Algorithm Selection for Multi-Label Classification. SSCI Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
2022	J	`jnl`	Explainable Model-specific Algorithm Selection for Multi-Label Classification. CoRR Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
2022	J	`jnl`	Explaining the performance of multilabel classification methods with data set properties. Int. J. Intell. Syst. Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
2022	J	`jnl`	FAIRification of MLC data. CoRR Ana Kostovska, Jasmin Bogatinovski, Andrej Treven, Saso Dzeroski, Dragi Kocev, Pance Panov
2022	J	`jnl`	Machine learning for identification of silylated derivatives from mass spectra. J. Cheminformatics Milka Ljoncheva, Tomaz Stepisnik, Tina Kosjek, Saso Dzeroski
2022	J	`jnl`	OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2022	J	`jnl`	Relational tree ensembles and feature rankings. Knowl. Based Syst. Matej Petkovic, Michelangelo Ceci, Gianvito Pio, Blaz Skrlj, Kristian Kersting, Saso Dzeroski
2022	J	`jnl`	ReliefE: feature ranking in high-dimensional spaces via manifold embeddings. Mach. Learn. Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
2022	J	`jnl`	Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification. CoRR Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2022	J	`jnl`	Survival analysis with semi-supervised predictive clustering trees. Comput. Biol. Medicine Bijit Roy, Tomaz Stepisnik, Pooled Resource Open-Access A. L. S. Clinical Trials Consortium, Celine Vens, Saso Dzeroski
2022	J	`jnl`	The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants. CoRR Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
2022	A	`conf`	The importance of landscape features for performance prediction of modular CMA-ES variants. GECCO Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
2021	J	`jnl`	Biomarker discovery by feature ranking: Evaluation on a case study of embryonal tumors. Comput. Biol. Medicine Matej Petkovic, Ivica Slavkov, Dragi Kocev, Saso Dzeroski
2021	J	`jnl`	Comprehensive Comparative Study of Multi-Label Classification Methods. CoRR Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
2021	J	`jnl`	Ensemble- and distance-based feature ranking for unsupervised learning. Int. J. Intell. Syst. Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski
2021	J	`jnl`	Explaining the Performance of Multi-label Classification Methods with Data Set Properties. CoRR Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
2021	J	`jnl`	Exploiting partially-labeled data in learning predictive clustering trees for multi-target regression: A case study of water quality assessment in Ireland. Ecol. Informatics Stevanche Nikoloski, Dragi Kocev, Jurica Levatic, David P. Wall, Saso Dzeroski
2021	J	`jnl`	GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. CoRR Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martínez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev
2021	J	`jnl`	Learning comprehensible and accurate hybrid trees. Expert Syst. Appl. Rok Piltaver, Mitja Lustrek, Saso Dzeroski, Martin Gjoreski, Matjaz Gams
2021	—	`conf`	Modeling the Association Between Prenatal Exposure to Mercury and Neurodevelopment of Children. ICT Innovations Stefan Popov, Janja Snoj Tratnik, Martin Breskvar, Darja Mazej, Milena Horvat, Saso Dzeroski
2021	J	`jnl`	Multi-Target Regression Rules With Random Output Selections. IEEE Access Martin Breskvar, Saso Dzeroski
2021	J	`jnl`	OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2021	—	`conf`	OPTION: optimization algorithm benchmarking ontology. GECCO Companion Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2021	J	`jnl`	Probabilistic grammars for equation discovery. Knowl. Based Syst. Jure Brence, Ljupco Todorovski, Saso Dzeroski
2021	—	`conf`	Relating Prenatal Hg Exposure and Neurological Development in Children with Machine Learning. MIPRO Stefan Popov, Janja Snoj Tratnik, Martin Breskvar, Darja Mazej, Milena Horvat, Saso Dzeroski
2021	J	`jnl`	ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings. CoRR Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
2021	B	`conf`	Unsupervised Feature Ranking via Attribute Networks. DS Urh Primozic, Blaz Skrlj, Saso Dzeroski, Matej Petkovic
2021	J	`jnl`	Unsupervised Feature Ranking via Attribute Networks. CoRR Urh Primozic, Blaz Skrlj, Saso Dzeroski, Matej Petkovic
2021	—	`conf`	Using Machine Learning to Identify Factors Contributing to Mould in the Celje Ceiling Painting. MIPRO Stefan Popov, Katja Kavkler, Saso Dzeroski
2020	J	`jnl`	Combinatorial search for selecting the structure of models of dynamical systems with equation discovery. Eng. Appl. Artif. Intell. Jovan Tanevski, Ljupco Todorovski, Saso Dzeroski
2020	J	`jnl`	Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning. CoRR Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski
2020	J	`jnl`	Equation Discovery for Nonlinear System Identification. IEEE Access Nikola Simidjievski, Ljupco Todorovski, Jus Kocijan, Saso Dzeroski
2020	J	`jnl`	Error curves for evaluating the quality of feature rankings. PeerJ Comput. Sci. Ivica Slavkov, Matej Petkovic, Pierre Geurts, Dragi Kocev, Saso Dzeroski
2020	C	`conf`	Estimating the Importance of Relational Features by Using Gradient Boosting. ISMIS Matej Petkovic, Michelangelo Ceci, Kristian Kersting, Saso Dzeroski
2020	A	`conf`	Feature Importance Estimation with Self-Attention Networks. ECAI Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
2020	J	`jnl`	Feature Importance Estimation with Self-Attention Networks. CoRR Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
2020	J	`jnl`	Feature Ranking for Semi-supervised Learning. CoRR Matej Petkovic, Saso Dzeroski, Dragi Kocev
2020	J	`jnl`	Feature ranking for multi-target regression. Mach. Learn. Matej Petkovic, Dragi Kocev, Saso Dzeroski
2020	B	`conf`	Hierarchy Decomposition Pipeline: A Toolbox for Comparison of Model Induction Algorithms on Hierarchical Multi-label Classification Problems. DS Vedrana Vidulin, Saso Dzeroski
2020	J	`jnl`	Incremental predictive clustering trees for online semi-supervised multi-target regression. Mach. Learn. Aljaz Osojnik, Pance Panov, Saso Dzeroski
2020	B	`conf`	Learning Surrogates of a Radiative Transfer Model for the Sentinel 5P Satellite. DS Jure Brence, Jovan Tanevski, Jennifer Adams, Edward Malina, Saso Dzeroski
2020	J	`jnl`	Learning to Classify Structures in ALS-Derived Visualizations of Ancient Maya Settlements with CNN. Remote. Sens. Maja Somrak, Saso Dzeroski, Ziga Kokalj
2020	J	`jnl`	Multi-label feature ranking with ensemble methods. Mach. Learn. Matej Petkovic, Saso Dzeroski, Dragi Kocev
2020	J	`jnl`	Multi-view redescription mining using tree-based multi-target prediction models. CoRR Matej Mihelcic, Saso Dzeroski, Tomislav Smuc
2020	J	`jnl`	Option predictive clustering trees for multi-target regression. Comput. Sci. Inf. Syst. Tomaz Stepisnik, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev
2020	C	`conf`	Predicting Associations Between Proteins and Multiple Diseases. ISMIS Martin Breskvar, Saso Dzeroski
2020	J	`jnl`	Probabilistic Grammars for Equation Discovery. CoRR Jure Brence, Ljupco Todorovski, Saso Dzeroski
2020	B	`conf`	Semantic Annotation of Predictive Modelling Experiments. DS Ilin Tolovski, Saso Dzeroski, Pance Panov
2020	B	`conf`	Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema. DS Ana Kostovska, Saso Dzeroski, Pance Panov
2020	J	`jnl`	Semi-supervised regression trees with application to QSAR modelling. Expert Syst. Appl. Jurica Levatic, Michelangelo Ceci, Tomaz Stepisnik, Saso Dzeroski, Dragi Kocev
2019	J	`jnl`	Aiding the Task of Process-Based Modeling with ProBMoTViz. Int. J. Web Appl. Gjorgi Peev, Nikola Simidjievski, Saso Dzeroski
2019	J	`jnl`	Data-Driven Structuring of the Output Space Improves the Performance of Multi-Target Regressors. IEEE Access Stevanche Nikoloski, Dragi Kocev, Saso Dzeroski
2019	B	`ed.`	Discovery Science - 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, Proceedings DS Petra Kralj Novak, Tomislav Smuc, Saso Dzeroski
2019	B	`conf`	Ensemble-Based Feature Ranking for Semi-supervised Classification. DS Matej Petkovic, Saso Dzeroski, Dragi Kocev
2019	J	`jnl`	Equation Discovery for Nonlinear System Identification. CoRR Nikola Simidjievski, Ljupco Todorovski, Jus Kocijan, Saso Dzeroski
2019	J	`jnl`	Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems. IEEE Access Ziga Luksic, Jovan Tanevski, Saso Dzeroski, Ljupco Todorovski
2019	J	`jnl`	Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems. CoRR Ziga Luksic, Jovan Tanevski, Saso Dzeroski, Ljupco Todorovski
2019	B	`conf`	Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining. DS Bozhidar Stevanoski, Dragi Kocev, Aljaz Osojnik, Ivica Dimitrovski, Saso Dzeroski
2019	J	`jnl`	SMURF: Systematic Methodology for Unveiling Relevant Factors in Retrospective Data on Chronic Disease Treatments. IEEE Access Franklin Parrales Bravo, Alberto A. Del Barrio García, Ana Beatriz Gago Veiga, María Mercedes Gallego de la Sacristana, Marina Ruiz Piñero, Angel Guerrero Peral, Saso Dzeroski, José L. Ayala
2019	—	`conf`	Towards reusable process-based models of dynamical systems: A case study in the domain of aquatic ecosystems. MIPRO Ilin Tolovski, Ana Kostovska, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski, Pance Panov
2019	B	`conf`	Utilizing Hierarchies in Tree-Based Online Structured Output Prediction. DS Aljaz Osojnik, Pance Panov, Saso Dzeroski
2018	J	`jnl`	Ensembles for multi-target regression with random output selections. Mach. Learn. Martin Breskvar, Dragi Kocev, Saso Dzeroski
2018	B	`conf`	Extending Redescription Mining to Multiple Views. DS Matej Mihelcic, Saso Dzeroski, Tomislav Smuc
2018	B	`conf`	Feature Ranking with Relief for Multi-label Classification: Does Distance Matter? DS Matej Petkovic, Dragi Kocev, Saso Dzeroski
2018	J	`jnl`	HMC-ReliefF: Feature ranking for hierarchical multi-label classification. Comput. Sci. Inf. Syst. Ivica Slavkov, Jana Karcheska, Dragi Kocev, Saso Dzeroski
2018	J	`jnl`	Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. CoRR Matej Petkovic, Redouane Boumghar, Martin Breskvar, Saso Dzeroski, Dragi Kocev, Jurica Levatic, Luke Lucas, Aljaz Osojnik, Bernard Zenko, Nikola Simidjievski
2018	—	`conf`	MetaBags: Bagged Meta-Decision Trees for Regression. ECML/PKDD (1) Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski
2018	J	`jnl`	MetaBags: Bagged Meta-Decision Trees for Regression. CoRR Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski
2018	J	`jnl`	Quantitative Score for Assessing the Quality of Feature Rankings. Informatica (Slovenia) Ivica Slavkov, Matej Petkovic, Dragi Kocev, Saso Dzeroski
2018	J	`jnl`	Redescription mining augmented with random forest of multi-target predictive clustering trees. J. Intell. Inf. Syst. Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc
2018	J	`jnl`	Semi-supervised trees for multi-target regression. Inf. Sci. Jurica Levatic, Dragi Kocev, Michelangelo Ceci, Saso Dzeroski
2018	J	`jnl`	Tree-based methods for online multi-target regression. J. Intell. Inf. Syst. Aljaz Osojnik, Pance Panov, Saso Dzeroski
2017	J	`jnl`	A framework for redescription set construction. Expert Syst. Appl. Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc
2017	J	`jnl`	Decoupling approximation robustly reconstructs directed dynamical networks. CoRR Nikola Simidjievski, Jovan Tanevski, Bernard Zenko, Zoran Levnajic, Ljupco Todorovski, Saso Dzeroski
2017	J	`jnl`	Erratum to: The use of data-derived label hierarchies in multi-label classification. J. Intell. Inf. Syst. Gjorgji Madjarov, Dejan Gjorgjevikj, Ivica Dimitrovski, Saso Dzeroski
2017	B	`conf`	Feature Ranking for Multi-target Regression with Tree Ensemble Methods. DS Matej Petkovic, Saso Dzeroski, Dragi Kocev
2017	B	`conf`	General Meta-Model Framework for Surrogate-Based Numerical Optimization. DS Ziga Luksic, Jovan Tanevski, Saso Dzeroski, Ljupco Todorovski
2017	—	`conf`	Image Representation, Annotation and Retrieval with Predictive Clustering Trees. ECML/PKDD (3) Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2017	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part I ECML/PKDD (1) Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski
2017	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II ECML/PKDD (2) Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski
2017	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III ECML/PKDD (3) Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Zitnik, Michelangelo Ceci, Saso Dzeroski
2017	B	`conf`	Modelling Time-Series of Glucose Measurements from Diabetes Patients Using Predictive Clustering Trees. AIME Mate Bestek, Dragi Kocev, Saso Dzeroski, Andrej Brodnik, Rade Iljaz
2017	B	`conf`	Multi-label Classification Using Random Label Subset Selections. DS Martin Breskvar, Dragi Kocev, Saso Dzeroski
2017	J	`jnl`	Multi-label classification via multi-target regression on data streams. Mach. Learn. Aljaz Osojnik, Pance Panov, Saso Dzeroski
2017	B	`conf`	Option Predictive Clustering Trees for Hierarchical Multi-label Classification. DS Tomaz Stepisnik Perdih, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev
2017	—	`conf`	Phenotype Prediction with Semi-supervised Classification Trees. NFMCP@PKDD/ECML Jurica Levatic, Maria Brbic, Tomaz Stepisnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Smuc, Fran Supek, Saso Dzeroski
2017	B	`conf`	Predictive Clustering Trees for Hierarchical Multi-Target Regression. IDA Vanja Mileski, Saso Dzeroski, Dragi Kocev
2017	—	`conf`	Predictive Clustering of Multi-dimensional Time Series Applied to Forest Growing Stock Data for Different Tree Sizes. ICT Innovations Valentin Gjorgjioski, Dragi Kocev, Andrej Boncina, Saso Dzeroski, Marko Debeljak
2017	—	`conf`	Process-Based Modeling and Design of Dynamical Systems. ECML/PKDD (3) Jovan Tanevski, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski
2017	J	`jnl`	Self-training for multi-target regression with tree ensembles. Knowl. Based Syst. Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2017	J	`jnl`	Semi-supervised classification trees. J. Intell. Inf. Syst. Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2017	—	`conf`	Structuring the Output Space in Multi-label Classification by Using Feature Ranking. NFMCP@PKDD/ECML Stevanche Nikoloski, Dragi Kocev, Saso Dzeroski
2017	J	`jnl`	Using Redescription Mining to Relate Clinical and Biological Characteristics of Cognitively Impaired and Alzheimer's Disease Patients. CoRR Matej Mihelcic, Goran Simic, Mirjana Babic Leko, Nada Lavrac, Saso Dzeroski, Tomislav Smuc
2016	B	`conf`	A Comparison of Different Data Transformation Approaches in the Feature Ranking Context. DS Matej Petkovic, Pance Panov, Saso Dzeroski
2016	J	`jnl`	A framework for redescription set construction. CoRR Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc
2016	—	`conf`	An Algorithm, Implementation and Execution Ontology Design Pattern. WOP@ISWC Agnieszka Lawrynowicz, Diego Esteves, Pance Panov, Tommaso Soru, Saso Dzeroski, Joaquin Vanschoren
2016	J	`jnl`	Ensembles of Fuzzy Linear Model Trees for the Identification of Multioutput Systems. IEEE Trans. Fuzzy Syst. Darko Aleksovski, Jus Kocijan, Saso Dzeroski
2016	J	`jnl`	Generic ontology of datatypes. Inf. Sci. Pance Panov, Larisa N. Soldatova, Saso Dzeroski
2016	J	`jnl`	Improving bag-of-visual-words image retrieval with predictive clustering trees. Inf. Sci. Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2016	B	`conf`	Learning Ensembles of Process-Based Models by Bagging of Random Library Samples. DS Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski
2016	—	`conf`	Learning from Massive, Incompletely annotated & Structured Data. EGC Saso Dzeroski
2016	J	`jnl`	Learning stochastic process-based models of dynamical systems from knowledge and data. BMC Syst. Biol. Jovan Tanevski, Ljupco Todorovski, Saso Dzeroski
2016	J	`jnl`	Modeling dynamical systems with data stream mining. Comput. Sci. Inf. Syst. Aljaz Osojnik, Pance Panov, Saso Dzeroski
2016	B	`conf`	Option Predictive Clustering Trees for Multi-target Regression. DS Aljaz Osojnik, Saso Dzeroski, Dragi Kocev
2016	—	`conf`	Semi-Supervised Multi-View Learning for Gene Network Reconstruction. SEBD Michelangelo Ceci, Gianvito Pio, Vladimir Kuzmanovski, Saso Dzeroski
2016	J	`jnl`	Special issue on discovery science. Mach. Learn. Saso Dzeroski, Dragi Kocev, Pance Panov
2016	J	`jnl`	The use of data-derived label hierarchies in multi-label classification. J. Intell. Inf. Syst. Gjorgji Madjarov, Dejan Gjorgjevikj, Ivica Dimitrovski, Saso Dzeroski
2015	—	`conf`	Comparison of Tree-Based Methods for Multi-target Regression on Data Streams. NFMCP Aljaz Osojnik, Pance Panov, Saso Dzeroski
2015	J	`jnl`	Domain-specific model selection for structural identification of the Rab5-Rab7 dynamics in endocytosis. BMC Syst. Biol. Jovan Tanevski, Ljupco Todorovski, Yannis Kalaidzidis, Saso Dzeroski
2015	J	`jnl`	Improved medical image modality classification using a combination of visual and textual features. Comput. Medical Imaging Graph. Ivica Dimitrovski, Dragi Kocev, Ivan Kitanovski, Suzana Loskovska, Saso Dzeroski
2015	J	`jnl`	Model-Tree Ensembles for noise-tolerant system identification. Adv. Eng. Informatics Darko Aleksovski, Jus Kocijan, Saso Dzeroski
2015	B	`conf`	Multi-label Classification via Multi-target Regression on Data Streams. Discovery Science Aljaz Osojnik, Pance Panov, Saso Dzeroski
2015	J	`jnl`	Online tree-based ensembles and option trees for regression on evolving data streams. Neurocomputing Elena Ikonomovska, João Gama, Saso Dzeroski
2015	—	`conf`	Ontology Engineering: From an Art to a Craft - The Case of the Data Mining Ontologies. OWLED Larisa N. Soldatova, Pance Panov, Saso Dzeroski
2015	J	`jnl`	Predicting long-term population dynamics with bagging and boosting of process-based models. Expert Syst. Appl. Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski
2015	—	`conf`	Redescription Mining with Multi-target Predictive Clustering Trees. NFMCP Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc
2015	—	`conf`	Representing bioinformatics datatypes using the OntoDT ontology. ICBO Pance Panov, Larisa N. Soldatova, Saso Dzeroski
2015	—	`conf`	Semi-supervised learning for multi-target regression (Discussion paper). SEBD Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2015	J	`jnl`	The importance of the label hierarchy in hierarchical multi-label classification. J. Intell. Inf. Syst. Jurica Levatic, Dragi Kocev, Saso Dzeroski
2014	J	`jnl`	Development of a knowledge library for automated watershed modeling. Environ. Model. Softw. Mateja Skerjanec, Natasa Atanasova, Darko Cerepnalkoski, Saso Dzeroski, Boris Kompare
2014	B	`ed.`	Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings Discovery Science Saso Dzeroski, Pance Panov, Dragi Kocev, Ljupco Todorovski
2014	—	`conf`	Evaluation of Different Data-Derived Label Hierarchies in Multi-label Classification. NFMCP Gjorgji Madjarov, Ivica Dimitrovski, Dejan Gjorgjevikj, Saso Dzeroski
2014	J	`jnl`	Fast and efficient visual codebook construction for multi-label annotation using predictive clustering trees. Pattern Recognit. Lett. Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2014	—	`conf`	Model Tree Ensembles for the Identification of Multiple-Output Systems. ECC Darko Aleksovski, Jus Kocijan, Saso Dzeroski
2014	A	`conf`	Multi-objective learning of hybrid classifiers. ECAI Rok Piltaver, Mitja Lustrek, Jernej Zupancic, Saso Dzeroski, Matjaz Gams
2014	J	`jnl`	Ontology of core data mining entities. Data Min. Knowl. Discov. Pance Panov, Larisa N. Soldatova, Saso Dzeroski
2014	—	`conf`	Semi-supervised Learning for Multi-target Regression. NFMCP Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2013	J	`jnl`	Dealing with spatial autocorrelation when learning predictive clustering trees. Ecol. Informatics Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski
2013	B	`conf`	Fast and Scalable Image Retrieval Using Predictive Clustering Trees. Discovery Science Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2013	J	`jnl`	Habitat modeling with single- and multi-target trees and ensembles. Ecol. Informatics Dragi Kocev, Saso Dzeroski
2013	J	`jnl`	Hybrid Decision Tree Architecture Utilizing Local SVMs for Efficient Multi-Label Learning. Int. J. Pattern Recognit. Artif. Intell. Dejan Gjorgjevikj, Gjorgji Madjarov, Saso Dzeroski
2013	B	`conf`	Inductive Process Modeling of Rab5-Rab7 Conversion in Endocytosis. Discovery Science Jovan Tanevski, Ljupco Todorovski, Yannis Kalaidzidis, Saso Dzeroski
2013	B	`conf`	Learning Hierarchical Multi-label Classification Trees from Network Data. Discovery Science Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Saso Dzeroski
2013	B	`conf`	Model Tree Ensembles for Modeling Dynamic Systems. Discovery Science Darko Aleksovski, Jus Kocijan, Saso Dzeroski
2013	B	`conf`	OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process. Discovery Science Pance Panov, Larisa N. Soldatova, Saso Dzeroski
2013	J	`jnl`	Phyletic Profiling with Cliques of Orthologs Is Enhanced by Signatures of Paralogy Relationships. PLoS Comput. Biol. Nives Skunca, Matko Bosnjak, Anita Krisko, Pance Panov, Saso Dzeroski, Tomislav Smuc, Fran Supek
2013	—	`conf`	ReliefF for Hierarchical Multi-label Classification. NFMCP Ivica Slavkov, Jana Karcheska, Dragi Kocev, Slobodan Kalajdziski, Saso Dzeroski
2013	J	`jnl`	Semi-Supervised Learning for Quantitative Structure-Activity Modeling. Informatica (Slovenia) Jurica Levatic, Saso Dzeroski, Fran Supek, Tomislav Smuc
2013	—	`conf`	The Use of the Label Hierarchy in Hierarchical Multi-label Classification Improves Performance. NFMCP Jurica Levatic, Dragi Kocev, Saso Dzeroski
2013	J	`jnl`	Tree ensembles for predicting structured outputs. Pattern Recognit. Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
2013	J	`jnl`	Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction. BMC Bioinform. Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Saso Dzeroski
2012	J	`jnl`	An extensive experimental comparison of methods for multi-label learning. Pattern Recognit. Gjorgji Madjarov, Dragi Kocev, Dejan Gjorgjevikj, Saso Dzeroski
2012	J	`jnl`	Estimating the risk of fire outbreaks in the natural environment. Data Min. Knowl. Discov. Daniela Stojanova, Andrej Kobler, Peter Ogrinc, Bernard Zenko, Saso Dzeroski
2012	J	`jnl`	Hierarchical classification of diatom images using ensembles of predictive clustering trees. Ecol. Informatics Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2012	J	`jnl`	Multi-target regression with rule ensembles. J. Mach. Learn. Res. Timo Aho, Bernard Zenko, Saso Dzeroski, Tapio Elomaa
2012	J	`jnl`	Network regression with predictive clustering trees. Data Min. Knowl. Discov. Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski
2012	J	`jnl`	Two stage architecture for multi-label learning. Pattern Recognit. Gjorgji Madjarov, Dejan Gjorgjevikj, Saso Dzeroski
2011	—	`conf`	Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams. ICDM Workshops Elena Ikonomovska, Kurt Driessens, Saso Dzeroski, João Gama
2011	J	`jnl`	Automated discovery of a model for dinoflagellate dynamics. Environ. Model. Softw. Natasa Atanasova, Saso Dzeroski, Boris Kompare, Ljupco Todorovski, Gideon Gal
2011	Misc	`conf`	Dual Layer Voting Method for Efficient Multi-label Classification. IbPRIA Gjorgji Madjarov, Dejan Gjorgjevikj, Saso Dzeroski
2011	B	`conf`	Global and Local Spatial Autocorrelation in Predictive Clustering Trees. Discovery Science Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski
2011	J	`jnl`	Hierarchical annotation of medical images. Pattern Recognit. Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2011	Misc	`conf`	Incremental multi-target model trees for data streams. SAC Elena Ikonomovska, João Gama, Saso Dzeroski
2011	C	`conf`	Inductive Databases and Constraint-Based Data Mining. ICFCA Saso Dzeroski
2011	J	`jnl`	Learning model trees from evolving data streams. Data Min. Knowl. Discov. Elena Ikonomovska, João Gama, Saso Dzeroski
2011	—	`conf`	Network Regression with Predictive Clustering Trees. ECML/PKDD (3) Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski
2011	J	`jnl`	Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis. BMC Syst. Biol. Katerina Tashkova, Peter Korosec, Jurij Silc, Ljupco Todorovski, Saso Dzeroski
2011	B	`conf`	Predicting Structured Outputs k-Nearest Neighbours Method. Discovery Science Mitja Pugelj, Saso Dzeroski
2011	—	`conf`	Regression on evolving multi-relational data streams. EDBT/ICDT Ph.D. Workshop Elena Ikonomovska, Saso Dzeroski
2011	A*	`conf`	Speeding-Up Hoeffding-Based Regression Trees With Options. ICML Elena Ikonomovska, João Gama, Bernard Zenko, Saso Dzeroski
2010	—	`ch.`	Analyzing Gene Expression Data with Predictive Clustering Trees. Inductive Databases and Constraint-Based Data Mining Ivica Slavkov, Saso Dzeroski
2010	—	`ch.`	Constrained Predictive Clustering. Inductive Databases and Constraint-Based Data Mining Jan Struyf, Saso Dzeroski
2010	—	`conf`	Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-Label Classification. ICPR Contests Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2010	—	`conf`	Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees. CLEF (Notebook Papers/LABs/Workshops) Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2010	J	`jnl`	Estimating vegetation height and canopy cover from remotely sensed data with machine learning. Ecol. Informatics Daniela Stojanova, Pance Panov, Valentin Gjorgjioski, Andrej Kobler, Saso Dzeroski
2010	—	`conf`	Evaluation Method for Feature Rankings and their Aggregations for Biomarker Discovery. MLSB Ivica Slavkov, Bernard Zenko, Saso Dzeroski
2010	—	`book`	Inductive Databases and Constraint-Based Data Mining. Saso Dzeroski, Bart Goethals, Pance Panov
2010	—	`ch.`	Inductive Databases and Constraint-based Data Mining: Introduction and Overview. Inductive Databases and Constraint-Based Data Mining Saso Dzeroski
2010	—	`ch.`	Predicting Gene Function using Predictive Clustering Trees. Inductive Databases and Constraint-Based Data Mining Celine Vens, Leander Schietgat, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski
2010	J	`jnl`	Predicting gene function using hierarchical multi-label decision tree ensembles. BMC Bioinform. Leander Schietgat, Celine Vens, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski
2010	—	`conf`	Preface. MLSB Saso Dzeroski, Pierre Geurts, Juho Rousu
2010	—	`ed.`	Proceedings of the third International Workshop on Machine Learning in Systems Biology, MLSB 2009, Ljubljana, Slovenia, September 5-6, 2009 MLSB Saso Dzeroski, Pierre Geurts, Juho Rousu
2010	—	`ch.`	Relational Data Mining. Data Mining and Knowledge Discovery Handbook Saso Dzeroski
2010	—	`ch.`	Representing Entities in the OntoDM Data Mining Ontology. Inductive Databases and Constraint-Based Data Mining Pance Panov, Saso Dzeroski, Larisa N. Soldatova
2009	—	`conf`	ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification. CLEF (2) Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2009	—	`conf`	ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification. CLEF (Working Notes) Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
2009	—	`ch.`	Machine Learning, Ensemble Methods in. Encyclopedia of Complexity and Systems Science Saso Dzeroski, Pance Panov, Bernard Zenko
2009	—	`conf`	Predicting chemical parameters of the water from diatom abudance in lake Prespa and its tributaries. ITEE Andreja Naumoski, Dragi Kocev, Natasa Atanasova, Kosta Mitreski, Svetislav Krstic, Saso Dzeroski
2009	A*	`conf`	Rule Ensembles for Multi-target Regression. ICDM Timo Aho, Bernard Zenko, Saso Dzeroski
2009	B	`conf`	Towards an Ontology of Data Mining Investigations. Discovery Science Pance Panov, Larisa N. Soldatova, Saso Dzeroski
2008	B	`conf`	A Minimal Description Length Scheme for Polynomial Regression. PAKDD Aleksandar Peckov, Saso Dzeroski, Ljupco Todorovski
2008	J	`jnl`	Decision trees for hierarchical multi-label classification. Mach. Learn. Celine Vens, Jan Struyf, Leander Schietgat, Saso Dzeroski, Hendrik Blockeel
2008	J	`jnl`	Inductive process modeling. Mach. Learn. Will Bridewell, Pat Langley, Ljupco Todorovski, Saso Dzeroski
2008	B	`conf`	Learning Classification Rules for Multiple Target Attributes. PAKDD Bernard Zenko, Saso Dzeroski
2008	—	`conf`	OntoDM: An Ontology of Data Mining. ICDM Workshops Pance Panov, Saso Dzeroski, Larisa N. Soldatova
2007	J	`jnl`	5th international workshop on knowledge discovery in inductive databases (KDID'06): workshop report. SIGKDD Explor. Saso Dzeroski, Jan Struyf
2007	J	`jnl`	A Qualitative Decision-Support Model for Evaluating Researchers. Informatica (Slovenia) Katerina Taskova, Daniela Stojanova, Marko Bohanec, Saso Dzeroski
2007	—	`conf`	Clustering Trees with Instance Level Constraints. ECML Jan Struyf, Saso Dzeroski
2007	B	`conf`	Combining Bagging and Random Subspaces to Create Better Ensembles. IDA Pance Panov, Saso Dzeroski
2007	—	`book`	Computational Discovery of Scientific Knowledge, Introduction, Techniques, and Applications in Environmental and Life Sciences Computational Discovery of Scientific Knowledge Saso Dzeroski, Ljupco Todorovski
2007	—	`ch.`	Computational Discovery of Scientific Knowledge. Computational Discovery of Scientific Knowledge Saso Dzeroski, Pat Langley, Ljupco Todorovski
2007	—	`conf`	Ensembles of Multi-Objective Decision Trees. ECML Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
2007	—	`conf`	Inducing Multi-Target Model Trees in a Stepwise Fashion. SEBD Annalisa Appice, Saso Dzeroski
2007	—	`ch.`	Integrating Domain Knowledge in Equation Discovery. Computational Discovery of Scientific Knowledge Ljupco Todorovski, Saso Dzeroski
2007	—	`ed.`	Knowledge Discovery in Inductive Databases, 5th International Workshop, KDID 2006, Berlin, Germany, September 18, 2006, Revised Selected and Invited Papers KDID Saso Dzeroski, Jan Struyf
2007	—	`ch.`	Literature Based Discovery Support System and Its Application to Disease Gene Identification. Computational Discovery of Scientific Knowledge Dimitar Hristovski, Borut Peterlin, Saso Dzeroski, Janez Stare
2007	—	`conf`	Stepwise Induction of Multi-target Model Trees. ECML Annalisa Appice, Saso Dzeroski
2007	—	`conf`	Studying the Presence of Genetically Modified Variants in Organic Oilseed Rape by Using Relational Data Mining. EnviroInfo (1) Aneta Ivanovska, Celine Vens, Saso Dzeroski, Nathalie Colbach
2006	—	`conf`	Analysis of Time Series Data with Predictive Clustering Trees. KDID Saso Dzeroski, Valentin Gjorgjioski, Ivica Slavkov, Jan Struyf
2006	—	`conf`	Beam Search Induction and Similarity Constraints for Predictive Clustering Trees. KDID Dragi Kocev, Jan Struyf, Saso Dzeroski
2006	—	`conf`	Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics. PKDD Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare
2006	J	`jnl`	First order random forests: Learning relational classifiers with complex aggregates. Mach. Learn. Anneleen Van Assche, Celine Vens, Hendrik Blockeel, Saso Dzeroski
2006	B	`conf`	From Inductive Logic Programming to Relational Data Mining. JELIA Saso Dzeroski
2006	B	`conf`	Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations. Discovery Science Taneli Mielikäinen, Pance Panov, Saso Dzeroski
2006	—	`conf`	Predicting Aggregate Properties of Soil Communities vs. Community Structure in an Agricultural Setting. EnviroInfo Damjan Demsar, Saso Dzeroski, Marko Debeljak, Paul Henning Krogh
2006	—	`conf`	Towards a General Framework for Data Mining. KDID Saso Dzeroski
2006	B	`conf`	Towards a Slovene Dependency Treebank. LREC Saso Dzeroski, Tomaz Erjavec, Nina Ledinek, Petr Pajas, Zdenek Zabokrtský, Anreja Zele
2006	—	`conf`	Using Decision Trees to Predict Forest Stand Height and Canopy Cover from LANDSAT and LIDAR Data. EnviroInfo Saso Dzeroski, Andrej Kobler, Valentin Gjorgjioski, Pance Panov
2006	—	`conf`	Using Simulation Models and Data Mining to Study Co-Existence of GM/Non-GM Crops at Regional Level. EnviroInfo Aneta Ivanovska, Pance Panov, Nathalie Colbach, Marko Debeljak, Saso Dzeroski, Antoine Messéan
2005	—	`conf`	A Qualitative Multi-attribute Model for Economic and Ecological Evaluation of Genetically Modified Crops. EnviroInfo Marko Bohanec, Antoine Messéan, Sara Scatasta, Saso Dzeroski, Martin Znidarsic
2005	—	`conf`	Combining Model-Based and Instance-Based Learning for First Order Regression. BNAIC Kurt Driessens, Saso Dzeroski
2005	A*	`conf`	Combining model-based and instance-based learning for first order regression. ICML Kurt Driessens, Saso Dzeroski
2005	—	`conf`	Constraint Based Induction of Multi-objective Regression Trees. KDID Jan Struyf, Saso Dzeroski
2005	Misc	`conf`	Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics. EPIA Jan Struyf, Saso Dzeroski, Hendrik Blockeel, Amanda Clare
2005	—	`conf`	Learning Predictive Clustering Rules. KDID Bernard Zenko, Saso Dzeroski, Jan Struyf
2005	—	`conf`	Modelling Outcrossing of Transgenes in Maize Between Neighboring Maize Fields. EnviroInfo Marko Debeljak, Damjan Demsar, Saso Dzeroski, Joachim Schiemann, Ralf Wilhelm, Sara Meier-Bethke
2005	J	`jnl`	Multi-Relational Data Mining 2005: workshop report. SIGKDD Explor. Hendrik Blockeel, Saso Dzeroski
2005	—	`ch.`	Relational Data Mining. The Data Mining and Knowledge Discovery Handbook Saso Dzeroski
2005	—	`conf`	Using Data Mining to Assess the Effects of Bt Baize on Soil Microarthropods. EnviroInfo Marko Debeljak, Jérôme Cortet, Damjan Demsar, Saso Dzeroski
2004	J	`jnl`	A report on the fourth international workshop on environmental applications of machine learning (EAML 2004). SIGKDD Explor. Saso Dzeroski, Bernard Zenko, Marko Debeljak
2004	—	`conf`	Data Mining: The Next Generation. Perspectives Workshop: Data Mining: The Next Generation Raghu Ramakrishnan, Rakesh Agrawal, Johann-Christoph Freytag, Toni Bollinger, Christopher W. Clifton, Saso Dzeroski, Jochen Hipp, Daniel A. Keim, Stefan Kramer, Hans-Peter Kriegel, Ulf Leser, Bing Liu, Heikki Mannila, Rosa Meo, Shinichi Morishita, Raymond T. Ng, Jian Pei, Prabhakar Raghavan, Myra Spiliopoulou, Jaideep Srivastava, Vicenç Torra
2004	—	`conf`	Discovering the most important factors for communities of soil microarthropods using machine learning. EnviroInfo (1) Damjan Demsar, Saso Dzeroski, Paul Henning Krogh, Thomas Larsen
2004	J	`jnl`	Experiments In Predicting Biodegradability. Appl. Artif. Intell. Hendrik Blockeel, Saso Dzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer
2004	B	`conf`	First Order Random Forests with Complex Aggregates. ILP Celine Vens, Anneleen Van Assche, Hendrik Blockeel, Saso Dzeroski
2004	—	`conf`	Inducing Polynomial Equations for Regression. ECML Ljupco Todorovski, Peter Ljubic, Saso Dzeroski
2004	B	`conf`	Inductive Databases of Polynomial Equations. DaWaK Saso Dzeroski, Ljupco Todorovski, Peter Ljubic
2004	—	`conf`	Inductive Queries on Polynomial Equations. Constraint-Based Mining and Inductive Databases Saso Dzeroski, Ljupco Todorovski, Peter Ljubic
2004	J	`jnl`	Integrating Guidance into Relational Reinforcement Learning. Mach. Learn. Kurt Driessens, Saso Dzeroski
2004	—	`conf`	Integrating Knowledge-Driven and Data-Driven Approaches to Modeling. EnviroInfo (1) Ljupco Todorovski, Saso Dzeroski
2004	J	`jnl`	Is Combining Classifiers with Stacking Better than Selecting the Best One? Mach. Learn. Saso Dzeroski, Bernard Zenko
2004	—	`conf`	Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery. Local Pattern Detection Nada Lavrac, Filip Zelezný, Saso Dzeroski
2004	J	`jnl`	Machine Learning of Morphosyntactic Structure: Lemmatizing Unknown Slovene Words. Appl. Artif. Intell. Tomaz Erjavec, Saso Dzeroski
2004	J	`jnl`	Multi-Attribute Modelling of Economic and Ecological Impacts of Cropping Systems. Informatica (Slovenia) Marko Bohanec, Saso Dzeroski, Martin Znidarsic
2004	J	`jnl`	Multi-relational data mining 2004: workshop report. SIGKDD Explor. Saso Dzeroski, Hendrik Blockeel
2004	—	`conf`	Relating personality traits and mercury exposure in miners with machine learning methods. EnviroInfo (1) Bernard Zenko, Saso Dzeroski, Alfred B. Kobal, Darja Kobal Grum, Niko Arneri, Josko Osredkar, Milena Horvat
2003	J	`jnl`	Combining Classifiers with Meta Decision Trees. Mach. Learn. Ljupco Todorovski, Saso Dzeroski
2003	—	`conf`	Inductive Databases of Polynomial Equations. KDID Saso Dzeroski, Ljupco Todorovski, Peter Ljubic
2003	B	`conf`	Modelling Soil Radon Concentration for Earthquake Prediction. Discovery Science Saso Dzeroski, Ljupco Todorovski, Boris Zmazek, Janja Vaupotic, Ivan Kobal
2003	J	`jnl`	Multi-relational data mining: an introduction. SIGKDD Explor. Saso Dzeroski
2003	J	`jnl`	Multi-relational data mining: the current frontiers. SIGKDD Explor. Saso Dzeroski, Luc De Raedt
2003	J	`jnl`	Multirelational data mining 2003: workshop report. SIGKDD Explor. Saso Dzeroski, Luc De Raedt, Stefan Wrobel
2003	—	`ed.`	Proceedings of the Second International Workshop on Inductive Databases, 22 September, Cavtat-Dubrovnik, Croatia KDID Jean-François Boulicaut, Saso Dzeroski
2003	B	`conf`	Using Constraints in Discovering Dynamics. Discovery Science Saso Dzeroski, Ljupco Todorovski, Peter Ljubic
2003	B	`conf`	Using Domain Specific Knowledge for Automated Modeling. IDA Ljupco Todorovski, Saso Dzeroski
2002	B	`conf`	A Machine Learning Approach to Automatic Functor Assignment in the Prague Dependency Treebank. LREC Zdenek Zabokrtský, Petr Sgall, Saso Dzeroski
2002	A*	`conf`	Inducing Process Models from Continuous Data. ICML Pat Langley, Javier Nicolás Sánchez, Ljupco Todorovski, Saso Dzeroski
2002	A*	`conf`	Integrating Experimentation and Guidance in Relational Reinforcement Learning. ICML Kurt Driessens, Saso Dzeroski
2002	A*	`conf`	Is Combining Classifiers Better than Selecting the Best One. ICML Saso Dzeroski, Bernard Zenko
2002	B	`conf`	Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery. ILP Saso Dzeroski
2002	J	`jnl`	Multi-Relational Data Mining: a Workshop Report. SIGKDD Explor. Saso Dzeroski, Luc De Raedt
2002	—	`conf`	Ranking with Predictive Clustering Trees. ECML Ljupco Todorovski, Hendrik Blockeel, Saso Dzeroski
2002	—	`conf`	Relational Reinforcement Learning for Agents in Worlds with Objects. Adaptive Agents and Multi-Agents Systems Saso Dzeroski
2002	—	`conf`	Stacking with Multi-response Model Trees. Multiple Classifier Systems Saso Dzeroski, Bernard Zenko
2002	—	`conf`	Stacking with an Extended Set of Meta-level Attributes and MLR. ECML Bernard Zenko, Saso Dzeroski
2001	A*	`conf`	A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods. ICDM Bernard Zenko, Ljupco Todorovski, Saso Dzeroski
2001	J	`jnl`	A Machine Learning Approach to Automatic Functor Assignment in the Prague Dependency Treebank. Prague Bull. Math. Linguistics Saso Dzeroski, Zdenek Zabokrtský
2001	B	`conf`	Computational Discovery of Communicable Knowledge: Symposium Report. Discovery Science Saso Dzeroski, Pat Langley
2001	J	`jnl`	Editorial: Inductive Logic Programming is Coming of Age. Mach. Learn. Peter A. Flach, Saso Dzeroski
2001	J	`jnl`	Knowledge discovery by means of inductive methods in wastewater treatment plannt data. AI Commun. Joaquim Comas, Saso Dzeroski, Karina Gibert, Ignasi R.-Roda, Miquel Sànchez-Marrè
2001	Misc	`conf`	Literature-based Discovery Support System and Its Application to Disease Gene Identification. AMIA Dimitar Hristovski, Borut Peterlin, Saso Dzeroski
2001	J	`jnl`	Relational Reinforcement Learning. Mach. Learn. Saso Dzeroski, Luc De Raedt, Kurt Driessens
2001	—	`conf`	Supporting Discovery in Medicine by Association Rule Mining in Medline and UMLS. MedInfo Dimitar Hristovski, Janez Stare, Borut Peterlin, Saso Dzeroski
2001	B	`conf`	Theory Revision in Equation Discovery. Discovery Science Ljupco Todorovski, Saso Dzeroski
2001	—	`conf`	Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery. ECML Ljupco Todorovski, Saso Dzeroski
2000	—	`conf`	Combining Multiple Models with Meta Decision Trees. PKDD Ljupco Todorovski, Saso Dzeroski
2000	A*	`conf`	Discovering the Structure of Partial Differential Equations from Example Behaviour. ICML Ljupco Todorovski, Saso Dzeroski, Ashwin Srinivasan, Jonathan P. Whiteley, David Gavaghan
2000	—	`ed.`	Learning Language in Logic Learning Language in Logic James Cussens, Saso Dzeroski
2000	B	`conf`	Morphosyntactic Tagging of Slovene: Evaluating Taggers and Tagsets. LREC Saso Dzeroski, Tomaz Erjavec, Jakub Zavrel
2000	J	`jnl`	Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains. Appl. Artif. Intell. Dragan Gamberger, Nada Lavrac, Saso Dzeroski
2000	J	`jnl`	Predicting Chemical Parameters of River Water Quality from Bioindicator Data. Appl. Intell. Saso Dzeroski, Damjan Demsar, Jasna Grbovic
2000	—	`conf`	Supporting Discovery in Medicine by Association Rule Mining of Bibliographic Databases. PKDD Dimitar Hristovski, Saso Dzeroski, Borut Peterlin, Anamarija Rozic-Hristovski
2000	Misc	`conf`	Using data mining and OLAP to discover patterns in a database of patients with Y-chromosome deletions. AMIA Saso Dzeroski, Dimitar Hristovski, Borut Peterlin
1999	—	`conf`	An Introduction to Inductive Logic Programming and Learning Language in Logic. Learning Language in Logic Saso Dzeroski, James Cussens, Suresh Manandhar
1999	J	`jnl`	Editorial. Data Min. Knowl. Discov. Saso Dzeroski, Nada Lavrac
1999	—	`conf`	Experiments in Meta-level Learning with ILP. PKDD Ljupco Todorovski, Saso Dzeroski
1999	B	`conf`	Experiments in Predicting Biodegradability. ILP Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer
1999	J	`jnl`	Inductive Logic Programming for Relational Knowledge Discovery. New Gener. Comput. Nada Lavrac, Saso Dzeroski, Masayuki Numao
1999	B	`ed.`	Inductive Logic Programming, 9th International Workshop, ILP-99, Bled, Slovenia, June 24-27, 1999, Proceedings ILP Saso Dzeroski, Peter A. Flach
1999	—	`conf`	Learning to Lemmatise Slovene Words. Learning Language in Logic Saso Dzeroski, Tomaz Erjavec
1999	B	`conf`	Morphosyntactic Tagging of Slovene Using Progol. ILP James Cussens, Saso Dzeroski, Tomaz Erjavec
1999	A*	`ed.`	Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27 - 30, 1999 ICML Ivan Bratko, Saso Dzeroski
1999	—	`conf`	Simultaneous Prediction of Mulriple Chemical Parameters of River Water Quality with TILDE. PKDD Hendrik Blockeel, Saso Dzeroski, Jasna Grbovic
1999	—	`conf`	WWW search engine for Slovenian and English medical documents. MIE Jure Dimec, Saso Dzeroski, Ljupco Todorovski, Dimitar Hristovski
1998	J	`jnl`	Acquiring background knowledge for machine learning using function decomposition: a case study in rheumatology. Artif. Intell. Medicine Blaz Zupan, Saso Dzeroski
1998	B	`conf`	Detecting Traffic Problems with ILP. ILP Saso Dzeroski, Nico Jacobs, Martín Molina, Carlos Moure, Stephen H. Muggleton, Wim Van Laer
1998	J	`jnl`	Diterpene Structure Elucidation from 13CNMR Spectra with Inductive Logic Programming. Appl. Artif. Intell. Saso Dzeroski, Steffen Schulze-Kremer, Karsten R. Heidtke, Karsten Siems, Dietrich Wettschereck, Hendrik Blockeel
1998	—	`conf`	ILP Experiments in Detecting Traffic Problems. ECML Saso Dzeroski, Nico Jacobs, Martín Molina, Carlos Moure
1998	B	`conf`	Learning Multilingual Morphology with CLOG. ILP Suresh Manandhar, Saso Dzeroski, Tomaz Erjavec
1998	A*	`conf`	Relational Reinforcement Learning. ICML Saso Dzeroski, Luc De Raedt, Hendrik Blockeel
1998	B	`conf`	Relational Reinforcement Learning. ILP Saso Dzeroski, Luc De Raedt, Hendrik Blockeel
1997	B	`conf`	Acquiring and Validating Background Knowledge for Machine Learning Using Function Decomposition. AIME Blaz Zupan, Saso Dzeroski
1997	B	`conf`	Automated Revision of Expert Rules for Treating Acute Abdominal Pain in Children. AIME Saso Dzeroski, George Potamias, Vassilis Moustakis, Giorgos Charissis
1997	A*	`conf`	Declarative Bias in Equation Discovery. ICML Ljupco Todorovski, Saso Dzeroski
1997	B	`conf`	Induction of Slovene Nominal Paradigms. ILP Saso Dzeroski, Tomaz Erjavec
1997	B	`ed.`	Inductive Logic Programming, 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings ILP Nada Lavrac, Saso Dzeroski
1997	—	`conf`	Integrating Explanatory and Descriptive Learning in ILP. IJCAI (2) Yannis Dimopoulos, Saso Dzeroski, Antonis C. Kakas
1997	C	`conf`	On Multi-class Problems and Discretization in Inductive Logic Programming. ISMIS Wim Van Laer, Luc De Raedt, Saso Dzeroski
1996	J	`jnl`	A Reply to Pazzani's Book Review of "Inductive Logic Programming: Techniques and Applications". Mach. Learn. Nada Lavrac, Saso Dzeroski
1996	B	`conf`	Applying ILP to Diterpene Structure Elucidation from Inductive Logic Programming Workshop Saso Dzeroski, Steffen Schulze-Kremer, Karsten R. Heidtke, Karsten Siems, Dietrich Wettschereck
1996	J	`jnl`	ILPNET Repositories on WWW: Inductive Logic Programming Systems, Datasets and Bibliography. AI Commun. Nada Lavrac, Irene Weber, Darko Zupanic, Dimitar Kazakov, Olga Stepánková, Saso Dzeroski
1996	—	`ch.`	Inductive Logic Programming and Knowledge Discovery in Databases. Advances in Knowledge Discovery and Data Mining Saso Dzeroski
1996	B	`conf`	Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois. ALT Dragan Gamberger, Nada Lavrac, Saso Dzeroski
1995	J	`jnl`	Discovering Dynamics: From Inductive Logic Programming to Machine Discovery. J. Intell. Inf. Syst. Saso Dzeroski, Ljupco Todorovski
1995	J	`jnl`	Engineering Applications of ILP. New Gener. Comput. Ivan Bratko, Saso Dzeroski
1995	—	`conf`	Handling Real Numbers in ILP: A Step Towards Better Behavioural Clones (Extended Abstract). ECML Saso Dzeroski, Ljupco Todorovski, Tanja Urbancic
1995	A*	`conf`	Knowledge Discovery in a Water Quality Database. KDD Saso Dzeroski
1995	—	`conf`	Learning First-order Clausal Theories in the Presence of Noise. SCAI Saso Dzeroski
1994	—	`conf`	Discovering Dynamics with Genetic Programming. ECML Saso Dzeroski, Igor Petrovski
1994	J	`jnl`	First-Order jk-Clausal Theories are PAC-Learnable. Artif. Intell. Luc De Raedt, Saso Dzeroski
1994	J	`jnl`	Inductive Logic Programming and Learnability. SIGART Bull. Jörg-Uwe Kietz, Saso Dzeroski
1994	—	`book`	Inductive logic programming - techniques and applications. Nada Lavrac, Saso Dzeroski
1994	J	`jnl`	Weakening the language bias in LINUS. J. Exp. Theor. Artif. Intell. Nada Lavrac, Saso Dzeroski
1993	A*	`conf`	Discovering Dynamics. ICML Saso Dzeroski, Ljupco Todorovski
1993	—	`conf`	Handling Imperfetc Data in Inductive Logic Programming. SCAI Saso Dzeroski
1993	J	`jnl`	Inductive Learning in Deductive Databases. IEEE Trans. Knowl. Data Eng. Saso Dzeroski, Nada Lavrac
1993	—	`conf`	Learnability of Constrained Logic Programs. ECML Saso Dzeroski, Stephen H. Muggleton, Stuart Russell
1993	A*	`conf`	Multiple Predicate Learning. IJCAI Luc De Raedt, Nada Lavrac, Saso Dzeroski
1993	J	`jnl`	The utility of background knowledge in learning medical diagnostic rules. Appl. Artif. Intell. Nada Lavrac, Saso Dzeroski, Vladimir Pirnat, Viljem Krizman
1992	—	`conf`	Background Knowledge and Declarative Bias in Inductive Concept Learning. AII Nada Lavrac, Saso Dzeroski
1992	A*	`conf`	PAC-Learnability of Determinate Logic Programs. COLT Saso Dzeroski, Stephen H. Muggleton, Stuart Russell
1991	—	`conf`	Learning Nonrecursive Definitions of Relations with LINUS. EWSL Nada Lavrac, Saso Dzeroski, Marko Grobelnik
1991	—	`conf`	Learning Relations from Noisy Examples: An Empirical Comparison of LINUS and FOIL. ML Saso Dzeroski, Nada Lavrac
1991	—	`conf`	Learning Rules for Early Diagnosis of Rheumatic Diseases. SCAI Nada Lavrac, Saso Dzeroski, Vladimir Pirnat, Viljem Krizman