World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
8695
World Ranking
10521
National Ranking
100

Overview

Toon Calders is affiliated with the University of Antwerp in Belgium and has contributed extensively to the fields of computer science and social sciences. Their work primarily intersects with artificial intelligence, safety research, and information systems, among other areas. In total, Calders has published 42 papers in computer science and 10 in social sciences, with a strong emphasis on artificial intelligence as a subfield.

The scientist's research spans multiple subfields, including:

  • Artificial Intelligence
  • Safety Research
  • Information Systems
  • Signal Processing
  • Molecular Biology

The primary topics covered in Calders' work include:

  • Ethics and Social Impacts of AI
  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning
  • Machine Learning and Data Classification
  • Data Quality and Management
  • Topic Modeling
  • Hate Speech and Cyberbullying Detection

Toon Calders has contributed to various publication venues, with the most frequent being:

  • arXiv (Cornell University)
  • Machine Learning
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Language Resources and Evaluation
  • BMC Medical Informatics and Decision Making

Recent papers authored or co-authored by Calders include:

  • "Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models," 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • "Roman Urdu toxic comment classification," 2021, Language Resources and Evaluation
  • "A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis," 2022, BMC Medical Informatics and Decision Making
  • "Keeping the Data Lake in Form," 2020, ACM Transactions on Information Systems
  • "PreCoF: counterfactual explanations for fairness," 2023, Machine Learning

Among frequent collaborators in Calders' research are:

  • Ewoenam Kwaku Tokpo
  • Marco Favier
  • Daphne Lenders
  • Pieter Delobelle
  • Bettina Berendt

In addition to journal papers and conference proceedings, Calders has contributed to the academic literature through book publications. A notable book titled Artificial Intelligence and Machine Learning was published in 2023 by Springer Science+Business Media.

Best Publications

  • Data preprocessing techniques for classification without discrimination

    Faisal Kamiran;Toon Calders

  • Three naive Bayes approaches for discrimination-free classification

    Toon Calders;Sicco Verwer

  • Building Classifiers with Independency Constraints

    Toon Calders;Faisal Kamiran;Mykola Pechenizkiy

  • Classifying without discriminating

    Faisal Kamiran;Toon Calders

  • Mining All Non-derivable Frequent Itemsets

    Toon Calders;Bart Goethals

  • Discrimination Aware Decision Tree Learning

    Faisal Kamiran;Toon Calders;Mykola Pechenizkiy

  • Non-derivable itemset mining

    Toon Calders;Bart Goethals

  • A survey on condensed representations for frequent sets

    Toon Calders;Christophe Rigotti;Jean-François Boulicaut

  • Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures

    Tgk Toon Calders;I Indré Zliobaite

  • Handling Conditional Discrimination

    Indre liobaite;Faisal Kamiran;Toon Calders

  • Controlling Attribute Effect in Linear Regression

    Toon Calders;Asim Karim;Faisal Kamiran;Wasif Ali

  • Mining Compressing Sequential Patterns

    Hoang Thanh Lam;Fabian Mörchen;Dmitriy Fradkin;Toon Calders

  • Classification with no discrimination by preferential sampling

    F Faisal Kamiran;Tgk Toon Calders

  • Mining frequent itemsets in a stream

    Toon Calders;Nele Dexters;Joris J. M. Gillis;Bart Goethals

  • Efficient AUC Optimization for Classification

    Toon Calders;Szymon Jaroszewicz

  • Discrimination and Privacy in the Information Society

    Bart Custers;Toon Calders;Bart Schermer;Tal Zarsky

  • Quantifying explainable discrimination and removing illegal discrimination in automated decision making

    F Faisal Kamiran;I Indré Zliobaite;Tgk Toon Calders

  • Introduction to the special section on educational data mining

    Toon Calders;Mykola Pechenizkiy

  • Applying Webmining techniques to execution traces to support the program comprehension process

    A. Zaidman;T. Calders;S. Demeyer;J. Paredaens

  • Drawbacks and solutions of applying association rule mining in learning management systems

    Enrique García;Cristóbal Romero;Sebastián Ventura;Toon Calders

  • Discrimination and Privacy in the Information Society: Data Mining and Profiling in Large Databases

    Bart Custers;Toon Calders;Bart Schermer;Tal Zarsky

  • Mining Compressing Sequential Patterns

    T.L. Hoang;F. Moerchen;D. Fradkin;Toon Calders

Frequent Co-Authors

Bart Goethals
Bart Goethals University of Antwerp
Mykola Pechenizkiy
Mykola Pechenizkiy Eindhoven University of Technology
Torben Bach Pedersen
Torben Bach Pedersen Aalborg University
Karl Tuyls
Karl Tuyls DeepMind (United Kingdom)
Cristóbal Romero
Cristóbal Romero University of Córdoba
Floriana Esposito
Floriana Esposito University of Bari Aldo Moro
Sebastián Ventura
Sebastián Ventura University of Córdoba
Eyke Hüllermeier
Eyke Hüllermeier Ludwig-Maximilians-Universität München
Cristina Conati
Cristina Conati University of British Columbia

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