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Computer Science
Slovenia
2026

D-Index & Metrics

Computer Science

D-Index
69
Citations
22310
World Ranking
1955
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Computer Science in Slovenia Leader Award
  • 2025 - Research.com Computer Science in Slovenia Leader Award
  • 2023 - Research.com Computer Science in Slovenia Leader Award
  • 2022 - Research.com Computer Science in Slovenia Leader Award
  • 2016 - Member of Academia Europaea

Overview

Sašo Džeroski is affiliated with the Jožef Stefan Institute in Slovenia. Their research primarily falls within the field of Computer Science, with significant contributions in subfields such as Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, and Biomedical Engineering.

Džeroski's work covers a range of key topics, including:

  • Machine Learning and Data Classification
  • Text and Document Classification Technologies
  • Neural Networks and Applications
  • Metaheuristic Optimization Algorithms Research
  • Scientific Computing and Data Management
  • Biomedical Text Mining and Ontologies
  • Face and Expression Recognition

The scientist has coauthored frequently with several colleagues, including:

  • Dragi Kocev
  • Ana Kostovska
  • Ljupčo Todorovski
  • Tome Eftimov
  • Matej Petković

Džeroski has published numerous papers, with recent notable works including:

  • Learning to Classify Structures in ALS-Derived Visualizations of Ancient Maya Settlements with CNN, 2020, Remote Sensing
  • Artificial intelligence to advance Earth observation: A review of models, recent trends, and pathways forward, 2023, arXiv (Cornell University)
  • Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward, 2024, IEEE Geoscience and Remote Sensing Magazine
  • Distinct Types of Gut Microbiota Dysbiosis in Hospitalized Gastroenterological Patients Are Disease Non-related and Characterized With the Predominance of Either Enterobacteriaceae or Enterococcus, 2020, Frontiers in Microbiology
  • Cheminformatics in MS-based environmental exposomics: Current achievements and future directions, 2020, Trends in Environmental Analytical Chemistry

The most frequent venues where Džeroski publishes are:

  • arXiv (Cornell University)
  • Machine Learning
  • Zenodo (CERN European Organization for Nuclear Research)
  • Expert Systems with Applications
  • International Journal of Intelligent Systems

The scientist received the award of Member of Academia Europaea in 2016.

Best Publications

  • A large-scale evaluation of computational protein function prediction

    Predrag Radivojac;Wyatt T Clark;Tal Ronnen Oron;Alexandra M Schnoes

  • Is Combining Classifiers with Stacking Better than Selecting the Best One

    Saso Džeroski;Bernard Ženko

  • Inductive Logic Programming: Techniques and Applications

    Nada Lavrac;Saso Dzeroski

  • Relational Data Mining

    Saso Dzeroski;Nada Lavrac

  • An extensive experimental comparison of methods for multi-label learning

    Unknown

  • Decision trees for hierarchical multi-label classification

    Celine Vens;Jan Struyf;Leander Schietgat;Sašo Džeroski

  • The MONK's problems: A Performance Comparison of Different Learning Algorithms

    Sebastian B. Thrun;Jerzy W. Bala;Eric Bloedorn;Ivan Bratko

  • Relational reinforcement learning

    Sašo Džeroski;Luc De Raedt;Kurt Driessens

  • The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

    Naihui Zhou;Yuxiang Jiang;Timothy R. Bergquist;Alexandra J. Lee

  • Multi-relational data mining: an introduction

    Sašo Džeroski

  • Learning model trees from evolving data streams

    Elena Ikonomovska;João Gama;Sašo Džeroski

  • Tree ensembles for predicting structured outputs

    Unknown

  • Combining Classifiers with Meta Decision Trees

    Ljupčo Todorovski;Sašo Džeroski

  • Learning nonrecursive definitions of relations with LINUS

    Nada Lavrač;Sašo Džeroski;Marko Grobelnik

  • Repetitive interpolation: A robust algorithm for DTM generation from Aerial Laser Scanner Data in forested terrain☆

    Andrej Kobler;Norbert Pfeifer;Peter Ogrinc;Ljupčo Todorovski

  • Relational Reinforcement Learning

    Saso Dzeroski;Luc De Raedt;Hendrik Blockeel

  • Ensembles of Multi-Objective Decision Trees

    Dragi Kocev;Celine Vens;Jan Struyf;Sašo Džeroski

  • Predicting gene function using hierarchical multi-label decision tree ensembles

    Leander Schietgat;Celine Vens;Jan Struyf;Hendrik Blockeel

  • First-order jk -clausal theories are PAC-learnable

    Luc De Raedt;Sašo Džeroski

  • Using single- and multi-target regression trees and ensembles to model a compound index of vegetation condition

    Dragi Kocev;Sašo Džeroski;Matt D. White;Graeme R. Newell

  • Predicting Chemical Parameters of River Water Quality from Bioindicator Data

    Sašo Džeroski;Damjan Demšar;Jasna Grbović

  • Supporting discovery in medicine by association rule mining in Medline and UMLS.

    Dimitar Hristovski;Janez Stare;Borut Peterlin;Saso Dzeroski

  • Proceedings of the 22nd international conference on Machine learning

    Saso Dzeroski;Luc De Raedt;Stefan Wrobel

  • Proceedings of the Sixteenth International Conference on Machine Learning

    Ivan Bratko;Saso Dzeroski

Frequent Co-Authors

Michelangelo Ceci
Michelangelo Ceci University of Bari Aldo Moro
Nada Lavrač
Nada Lavrač Jozef Stefan Institute
Nina Gunde-Cimerman
Nina Gunde-Cimerman University of Ljubljana
Donato Malerba
Donato Malerba University of Bari Aldo Moro
Luc De Raedt
Luc De Raedt KU Leuven
Paul Henning Krogh
Paul Henning Krogh Aarhus University
João Gama
João Gama University of Porto
Pat Langley
Pat Langley Stanford University
Milena Horvat
Milena Horvat Jožef Stefan Institute

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