World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10610
World Ranking
7098
National Ranking
13

Overview

Jerzy Stefanowski is affiliated with Poznań University of Technology in Poland, where their research primarily focuses on areas within computer science. Their work covers a range of main topics including:

  • Explainable Artificial Intelligence (XAI)
  • Imbalanced Data Classification Techniques
  • Data Stream Mining Techniques
  • Topic Modeling
  • Machine Learning and Data Classification
  • Natural Language Processing Techniques
  • Scientific Computing and Data Management

The primary fields of study for Stefanowski include Computer Science, with subfields extending to:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Information Systems and Management
  • Information Systems
  • Computational Theory and Mathematics

The scientist has contributed to various academic venues, with frequent publications appearing in:

  • arXiv (Cornell University)
  • Expert Systems with Applications
  • Knowledge and Information Systems
  • Foundations of Computing and Decision Sciences
  • International Journal of Applied Mathematics and Computer Science

Among recent papers authored or coauthored by Stefanowski are:

  • "What makes multi-class imbalanced problems difficult? An experimental study" (2022), published in Expert Systems with Applications
  • "The impact of data difficulty factors on classification of imbalanced and concept drifting data streams" (2021), published in Knowledge and Information Systems
  • "Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues" (2023), published on arXiv (Cornell University)
  • "Artificial Intelligence Research Community and Associations in Poland" (2020), published in Foundations of Computing and Decision Sciences
  • "A multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers" (2024), published in International Journal of Applied Mathematics and Computer Science

Collaborations have involved several frequent coauthors, including:

  • Mateusz Lango
  • Dariusz Brzeziński
  • Ignacy Stępka
  • Patryk Wielopolski
  • Maciej Zięba

Stefanowski has also contributed to book publications, notably a title published by Springer International Publishing:

  • "Intelligent Decision Support Systems" (2022)

Best Publications

  • Ensemble learning for data stream analysis

    Bartosz Krawczyk;Leandro L. Minku;Joo Gama;Jerzy Stefanowski

  • SMOTE-IPF

    José A. Sáez;Julián Luengo;Jerzy Stefanowski;Francisco Herrera

  • Incomplete Information Tables and Rough Classification

    Jerzy Stefanowski;Alexis Tsoukiàs

  • Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm

    Dariusz Brzezinski;Jerzy Stefanowski

  • On the Extension of Rough Sets under Incomplete Information

    Jerzy Stefanowski;Alexis Tsoukiàs

  • Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition

    Stanisław Osiński;Jerzy Stefanowski;Dawid Weiss

  • Open challenges for data stream mining research

    Georg Krempl;Indre Žliobaite;Dariusz Brzeziński;Eyke Hüllermeier

  • Types of minority class examples and their influence on learning classifiers from imbalanced data

    Krystyna Napierala;Jerzy Stefanowski

  • Local neighbourhood extension of SMOTE for mining imbalanced data

    Tomasz Maciejewski;Jerzy Stefanowski

  • Learning from imbalanced data in presence of noisy and borderline examples

    Krystyna Napierała;Jerzy Stefanowski;Szymon Wilk

  • Selective Pre-processing of Imbalanced Data for Improving Classification Performance

    Jerzy Stefanowski;Szymon Wilk

  • ROSE - Software Implementation of the Rough Set Theory

    Bartlomiej Predki;Roman Slowinski;Jerzy Stefanowski;Robert Susmaga

  • Neighbourhood sampling in bagging for imbalanced data

    Jerzy Błaszczyński;Jerzy Stefanowski

  • Variable Consistency Model of Dominance-Based Rough Sets Approach

    Salvatore Greco;Benedetto Matarazzo;Roman Slowinski;Jerzy Stefanowski

  • An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle

    Salvatore Greco;Benedetto Matarazzo;Roman Slowinski;Jerzy Stefanowski

  • Combining block-based and online methods in learning ensembles from concept drifting data streams

    Dariusz Brzezinski;Jerzy Stefanowski

  • Accuracy updated ensemble for data streams with concept drift

    Dariusz Brzeziński;Jerzy Stefanowski

  • Rough classification in incomplete information systems

    Roman Sowiski;Jerzy Stefanowski

  • Three Discretization Methods for Rule Induction

    Jerzy W. Grzymala-Busse;Jerzy Stefanowski

  • Carrot 2 and language properties in web search results clustering

    Jerzy Stefanowski;Dawid Weiss

Frequent Co-Authors

Roman Słowiński
Roman Słowiński Poznań University of Technology
Salvatore Greco
Salvatore Greco University of Portsmouth
Jerzy W. Grzymala-Busse
Jerzy W. Grzymala-Busse University of Kansas
Benedetto Matarazzo
Benedetto Matarazzo University of Catania
Nathalie Japkowicz
Nathalie Japkowicz American University
Daniel Vanderpooten
Daniel Vanderpooten Paris Dauphine University
Bartosz Krawczyk
Bartosz Krawczyk Rochester Institute of Technology
Julián Luengo
Julián Luengo University of Granada
Francisco Herrera
Francisco Herrera University of Granada
Leandro L. Minku
Leandro L. Minku University of Birmingham

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