Saso Dzeroski

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 133

Top Venues

CoRR

Mach. Learn.

Expert Syst. Appl.

Publications

Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification. Int. J. Intell. Syst. 2024 (2024)
Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski
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. 62 (2024)
Viktor Andonovikj, Pavle Boskoski, Saso Dzeroski, Biljana Mileva-Boshkoska
Survival analysis as semi-supervised multi-target regression for time-to-employment prediction using oblique predictive clustering trees. Expert Syst. Appl. 235 (2024)
Gordana Ispirova, Tome Eftimov, Saso Dzeroski, Barbara Korousic-Seljak
MsGEN: Measuring generalization of nutrient value prediction across different recipe datasets. Expert Syst. Appl. 237 (Part B) (2024)
Matej Petkovic, Saso Dzeroski, Dragi Kocev
Feature ranking for semi-supervised learning. Mach. Learn. 112 (11) (2023)
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
Artificial intelligence to advance Earth observation: a perspective. CoRR (2023)
Martha Roseberry, Saso Dzeroski, Albert Bifet, Alberto Cano
Aging and rejuvenating strategies for fading windows in multi-label classification on data streams. SAC (2023)
Jure Brence, Jovan Tanevski, Jennifer Adams, Edward Malina, Saso Dzeroski
Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations. Mach. Learn. 112 (4) (2023)
Sebastian Meznar, Saso Dzeroski, Ljupco Todorovski
Efficient Generator of Mathematical Expressions for Symbolic Regression. CoRR (2023)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. CoRR (2023)
Marjan Stoimchev, Dragi Kocev, Saso Dzeroski
Deep Network Architectures as Feature Extractors for Multi-Label Classification of Remote Sensing Images. Remote. Sens. 15 (2) (2023)
Sebastian Meznar, Saso Dzeroski, Ljupco Todorovski
Correction to: efficient generator of mathematical expressions for symbolic regression. Mach. Learn. 112 (12) (2023)
Matej Petkovic, Jurica Levatic, Dragi Kocev, Martin Breskvar, Saso Dzeroski
CLUSplus: A decision tree-based framework for predicting structured outputs. SoftwareX 24 (2023)
Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. GECCO (2023)
Aljaz Osojnik, Pance Panov, Saso Dzeroski
iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-target Regression. DS (2023)
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, Jon Rowe, James A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR (2023)
Stefan Kramer, Mattia Cerrato, Saso Dzeroski, Ross D. King
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems. CoRR (2023)
Jure Brence, Saso Dzeroski, Ljupco Todorovski
Dimensionally-consistent equation discovery through probabilistic attribute grammars. Inf. Sci. 632 (2023)
Jure Brence, Dragan Mihailovic, Viktor V. Kabanov, Ljupco Todorovski, Saso Dzeroski, Jaka Vodeb
Boosting the performance of quantum annealers using machine learning. Quantum Mach. Intell. 5 (1) (2023)
Sebastian Meznar, Saso Dzeroski, Ljupco Todorovski
Efficient generator of mathematical expressions for symbolic regression. Mach. Learn. 112 (11) (2023)
Rok Novak, Johanna Amalia Robinson, Tjasa Kanduc, Dimosthenis Sarigiannis, Saso Dzeroski, David Kocman
Empowering Participatory Research in Urban Health: Wearable Biometric and Environmental Sensors for Activity Recognition. Sensors 23 (24) (2023)
Saso Dzeroski, Holger H. Hoos, Bertrand Le Saux, Leendert van der Torre, Ana Kostovska
Space and Artificial Intelligence (Dagstuhl Seminar 23461). Dagstuhl Reports 13 (11) (2023)
Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. CoRR (2023)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: OPTImization Algorithm Benchmarking ONtology. IEEE Trans. Evol. Comput. 27 (6) (2023)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. GECCO Companion (2023)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. CoRR (2023)
Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
ReliefE: feature ranking in high-dimensional spaces via manifold embeddings. Mach. Learn. 111 (1) (2022)
Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
Explainable Model-specific Algorithm Selection for Multi-Label Classification. CoRR (2022)
Bijit Roy, Tomaz Stepisnik, The Pooled Resource Open-Access A. L. S. Clinical Trials Consortium, Celine Vens, Saso Dzeroski
Survival analysis with semi-supervised predictive clustering trees. Comput. Biol. Medicine 141 (2022)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
The importance of landscape features for performance prediction of modular CMA-ES variants. GECCO (2022)
Jure Brence, Dragan Mihailovic, Viktor Kabanov, Ljupco Todorovski, Saso Dzeroski, Jaka Vodeb
Boosting the Performance of Quantum Annealers using Machine Learning. CoRR (2022)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR (2022)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants. CoRR (2022)
Matej Petkovic, Michelangelo Ceci, Gianvito Pio, Blaz Skrlj, Kristian Kersting, Saso Dzeroski
Relational tree ensembles and feature rankings. Knowl. Based Syst. 251 (2022)
Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
Explaining the performance of multilabel classification methods with data set properties. Int. J. Intell. Syst. 37 (9) (2022)
Bostjan Gec, Nina Omejc, Jure Brence, Saso Dzeroski, Ljupco Todorovski
Discovery of Differential Equations Using Probabilistic Grammars. DS (2022)
Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
Comprehensive comparative study of multi-label classification methods. Expert Syst. Appl. 203 (2022)
Ana Kostovska, Jasmin Bogatinovski, Andrej Treven, Saso Dzeroski, Dragi Kocev, Pance Panov
FAIRification of MLC data. CoRR (2022)
Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
Explainable Model-specific Algorithm Selection for Multi-Label Classification. SSCI (2022)
Milka Ljoncheva, Tomaz Stepisnik, Tina Kosjek, Saso Dzeroski
Machine learning for identification of silylated derivatives from mass spectra. J. Cheminformatics 14 (1) (2022)
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification. CoRR (2022)
Mihael Simonic, Matevz Majcen Hrovat, Saso Dzeroski, Ales Ude, Bojan Nemec
Determining Exception Context in Assembly Operations from Multimodal Data. Sensors 22 (20) (2022)
Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
Explaining the Performance of Multi-label Classification Methods with Data Set Properties. CoRR (2021)
Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, José Antonio Martinez Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data. CoRR (2021)
Martin Breskvar, Saso Dzeroski
Multi-Target Regression Rules With Random Output Selections. IEEE Access 9 (2021)
Stefan Popov, Janja Snoj Tratnik, Martin Breskvar, Darja Mazej, Milena Horvat, Saso Dzeroski
Modeling the Association Between Prenatal Exposure to Mercury and Neurodevelopment of Children. ICT Innovations (2021)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR (2021)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: optimization algorithm benchmarking ontology. GECCO Companion (2021)
Stefan Popov, Janja Snoj Tratnik, Martin Breskvar, Darja Mazej, Milena Horvat, Saso Dzeroski
Relating Prenatal Hg Exposure and Neurological Development in Children with Machine Learning. MIPRO (2021)
Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings. CoRR (2021)
Rok Piltaver, Mitja Lustrek, Saso Dzeroski, Martin Gjoreski, Matjaz Gams
Learning comprehensible and accurate hybrid trees. Expert Syst. Appl. 164 (2021)
Urh Primozic, Blaz Skrlj, Saso Dzeroski, Matej Petkovic
Unsupervised Feature Ranking via Attribute Networks. DS (2021)
Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski
Ensemble- and distance-based feature ranking for unsupervised learning. Int. J. Intell. Syst. 36 (7) (2021)
Matej Petkovic, Ivica Slavkov, Dragi Kocev, Saso Dzeroski
Biomarker discovery by feature ranking: Evaluation on a case study of embryonal tumors. Comput. Biol. Medicine 128 (2021)
Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev
Comprehensive Comparative Study of Multi-Label Classification Methods. CoRR (2021)
Urh Primozic, Blaz Skrlj, Saso Dzeroski, Matej Petkovic
Unsupervised Feature Ranking via Attribute Networks. CoRR (2021)
Jure Brence, Ljupco Todorovski, Saso Dzeroski
Probabilistic grammars for equation discovery. Knowl. Based Syst. 224 (2021)
Stefan Popov, Katja Kavkler, Saso Dzeroski
Using Machine Learning to Identify Factors Contributing to Mould in the Celje Ceiling Painting. MIPRO (2021)
Stevanche Nikoloski, Dragi Kocev, Jurica Levatic, David P. Wall, Saso Dzeroski
Exploiting partially-labeled data in learning predictive clustering trees for multi-target regression: A case study of water quality assessment in Ireland. Ecol. Informatics 61 (2021)
Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
Feature Importance Estimation with Self-Attention Networks. ECAI (2020)
Martin Breskvar, Saso Dzeroski
Predicting Associations Between Proteins and Multiple Diseases. ISMIS (2020)
Maja Somrak, Saso Dzeroski, Ziga Kokalj
Learning to Classify Structures in ALS-Derived Visualizations of Ancient Maya Settlements with CNN. Remote. Sens. 12 (14) (2020)
Matej Petkovic, Dragi Kocev, Saso Dzeroski
Feature ranking for multi-target regression. Mach. Learn. 109 (6) (2020)
Matej Petkovic, Saso Dzeroski, Dragi Kocev
Feature Ranking for Semi-supervised Learning. CoRR (2020)
Jure Brence, Ljupco Todorovski, Saso Dzeroski
Probabilistic Grammars for Equation Discovery. CoRR (2020)
Vedrana Vidulin, Saso Dzeroski
Hierarchy Decomposition Pipeline: A Toolbox for Comparison of Model Induction Algorithms on Hierarchical Multi-label Classification Problems. DS (2020)
Ana Kostovska, Saso Dzeroski, Pance Panov
Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema. DS (2020)
Ilin Tolovski, Saso Dzeroski, Pance Panov
Semantic Annotation of Predictive Modelling Experiments. DS (2020)
Matej Petkovic, Saso Dzeroski, Dragi Kocev
Multi-label feature ranking with ensemble methods. Mach. Learn. 109 (11) (2020)
Ivica Slavkov, Matej Petkovic, Pierre Geurts, Dragi Kocev, Saso Dzeroski
Error curves for evaluating the quality of feature rankings. PeerJ Comput. Sci. 6 (2020)
Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
Feature Importance Estimation with Self-Attention Networks. CoRR (2020)
Jure Brence, Jovan Tanevski, Jennifer Adams, Edward Malina, Saso Dzeroski
Learning Surrogates of a Radiative Transfer Model for the Sentinel 5P Satellite. DS (2020)
Matej Petkovic, Michelangelo Ceci, Kristian Kersting, Saso Dzeroski
Estimating the Importance of Relational Features by Using Gradient Boosting. ISMIS (2020)
Matej Mihelcic, Saso Dzeroski, Tomislav Smuc
Multi-view redescription mining using tree-based multi-target prediction models. CoRR (2020)
Aljaz Osojnik, Pance Panov, Saso Dzeroski
Incremental predictive clustering trees for online semi-supervised multi-target regression. Mach. Learn. 109 (11) (2020)
Tomaz Stepisnik, Aljaz Osojnik, Saso Dzeroski, Dragi Kocev
Option predictive clustering trees for multi-target regression. Comput. Sci. Inf. Syst. 17 (2) (2020)
Nikola Simidjievski, Ljupco Todorovski, Jus Kocijan, Saso Dzeroski
Equation Discovery for Nonlinear System Identification. IEEE Access 8 (2020)
Jovan Tanevski, Ljupco Todorovski, Saso Dzeroski
Combinatorial search for selecting the structure of models of dynamical systems with equation discovery. Eng. Appl. Artif. Intell. 89 (2020)
Jurica Levatic, Michelangelo Ceci, Tomaz Stepisnik, Saso Dzeroski, Dragi Kocev
Semi-supervised regression trees with application to QSAR modelling. Expert Syst. Appl. 158 (2020)
Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski
Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning. CoRR (2020)
Ziga Luksic, Jovan Tanevski, Saso Dzeroski, Ljupco Todorovski
Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems. CoRR (2019)
Stevanche Nikoloski, Dragi Kocev, Saso Dzeroski
Data-Driven Structuring of the Output Space Improves the Performance of Multi-Target Regressors. IEEE Access 7 (2019)
Gjorgi Peev, Nikola Simidjievski, Saso Dzeroski
Aiding the Task of Process-Based Modeling with ProBMoTViz. Int. J. Web Appl. 11 (1) (2019)
Bozhidar Stevanoski, Dragi Kocev, Aljaz Osojnik, Ivica Dimitrovski, Saso Dzeroski
Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining. DS (2019)
Ziga Luksic, Jovan Tanevski, Saso Dzeroski, Ljupco Todorovski
Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems. IEEE Access 7 (2019)
Nikola Simidjievski, Ljupco Todorovski, Jus Kocijan, Saso Dzeroski
Equation Discovery for Nonlinear System Identification. CoRR (2019)
Aljaz Osojnik, Pance Panov, Saso Dzeroski
Utilizing Hierarchies in Tree-Based Online Structured Output Prediction. DS (2019)
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
SMURF: Systematic Methodology for Unveiling Relevant Factors in Retrospective Data on Chronic Disease Treatments. IEEE Access 7 (2019)
Matej Petkovic, Saso Dzeroski, Dragi Kocev
Ensemble-Based Feature Ranking for Semi-supervised Classification. DS (2019)
Ilin Tolovski, Ana Kostovska, Nikola Simidjievski, Ljupco Todorovski, Saso Dzeroski, Pance Panov
Towards reusable process-based models of dynamical systems: A case study in the domain of aquatic ecosystems. MIPRO (2019)
Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski
MetaBags: Bagged Meta-Decision Trees for Regression. CoRR (2018)
Matej Mihelcic, Saso Dzeroski, Nada Lavrac, Tomislav Smuc
Redescription mining augmented with random forest of multi-target predictive clustering trees. J. Intell. Inf. Syst. 50 (1) (2018)
Aljaz Osojnik, Pance Panov, Saso Dzeroski
Tree-based methods for online multi-target regression. J. Intell. Inf. Syst. 50 (2) (2018)
Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski
MetaBags: Bagged Meta-Decision Trees for Regression. ECML/PKDD (1) (2018)
Jurica Levatic, Dragi Kocev, Michelangelo Ceci, Saso Dzeroski
Semi-supervised trees for multi-target regression. Inf. Sci. 450 (2018)
Matej Petkovic, Dragi Kocev, Saso Dzeroski
Feature Ranking with Relief for Multi-label Classification: Does Distance Matter? DS (2018)
Matej Mihelcic, Saso Dzeroski, Tomislav Smuc
Extending Redescription Mining to Multiple Views. DS (2018)
Martin Breskvar, Dragi Kocev, Saso Dzeroski
Ensembles for multi-target regression with random output selections. Mach. Learn. 107 (11) (2018)
Matej Petkovic, Redouane Boumghar, Martin Breskvar, Saso Dzeroski, Dragi Kocev, Jurica Levatic, Luke Lucas, Aljaz Osojnik, Bernard Zenko, Nikola Simidjievski
Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. CoRR (2018)
Ivica Slavkov, Jana Karcheska, Dragi Kocev, Saso Dzeroski
HMC-ReliefF: Feature ranking for hierarchical multi-label classification. Comput. Sci. Inf. Syst. 15 (1) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Saso Dzeroski