World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
15618
World Ranking
7006
National Ranking
113

Overview

David M. J. Tax is affiliated with Delft University of Technology in the Netherlands. Their research spans multiple fields including Computer Science and Engineering, with a focus on several subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Cardiology and Cardiovascular Medicine, and Statistical and Nonlinear Physics.

Their main research topics cover a range of specialized areas: anomaly detection techniques and applications, non-invasive vital sign monitoring, ECG monitoring and analysis, model reduction and neural networks, advanced neural network applications, astro and planetary science, as well as domain adaptation and few-shot learning.

Among the recent publications by David M. J. Tax are:

  • Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course, 2022, Journal of Medical Internet Research
  • Detecting outliers from pairwise proximities: Proximity isolation forests, 2023, Pattern Recognition
  • Unexplored Antarctic meteorite collection sites revealed through machine learning, 2022, Science Advances
  • iPINNs: incremental learning for Physics-informed neural networks, 2024, Engineering With Computers
  • Continual prune-and-select: class-incremental learning with specialized subnetworks, 2023, Applied Intelligence

Their publications are frequently found in venues including arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Journal of Medical Internet Research, Pattern Recognition, and Science Advances.

Frequent collaborators of David M. J. Tax include Marcel Reinders, Aleksandr Dekhovich, Marcel H. F. Sluiter, Miguel A. Bessa, and Ramin Ghorbani.

Best Publications

  • Support Vector Data Description

    David M. J. Tax;Robert P. W. Duin

  • Support vector domain description

    David M. J. Tax;Robert P. W. Duin

  • One-class classification

    D.M.J. Tax

  • Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB

    Ferdinand van der Heijden;Robert Duin;Dick de Ridder;David M J Tax

  • Data domain description using support vectors.

    David M. J. Tax;Robert P. W. Duin

  • Combining multiple classifiers by averaging or by multiplying

    David M.J. Tax;Martijn van Breukelen;Robert P.W. Duin;Josef Kittler

  • Uniform object generation for optimizing one-class classifiers

    David M. J. Tax;Robert P. W. Duin

  • Experiments with Classifier Combining Rules

    Robert P. W. Duin;David M. J. Tax

  • STATISTICAL PATTERN RECOGNITION

    Unknown

  • Using two-class classifiers for multiclass classification

    D.M.J. Tax;R.P.W. Duin

  • Combining One-Class Classifiers

    David M. J. Tax;Robert P. W. Duin

  • Handwritten digit recognition by combined classifiers

    Martijn van Breukelen;Robert P. W. Duin;David M. J. Tax;J. E. den Hartog

  • Online SVM learning: from classification to data description and back

    D.M.J. Tax;P. Laskov

  • Minimum spanning tree based one-class classifier

    Piotr Juszczak;David M. J. Tax;Elbieta Pekalska;Robert P. W. Duin

  • Growing a multi-class classifier with a reject option

    D. M. J. Tax;R. P. W. Duin

  • Multiple instance learning with bag dissimilarities

    Veronika Cheplygina;David M.J. Tax;Marco Loog

  • Subclass Problem-Dependent Design for Error-Correcting Output Codes

    S. Escalera;D.M.J. Tax;O. Pujol;P. Radeva

  • Outlier Detection Using Classifier Instability

    David M. J. Tax;Robert P. W. Duin

  • From outliers to prototypes: Ordering data

    Stefan Harmeling;Guido Dornhege;David Tax;Frank Meinecke

  • The interaction between classification and reject performance for distance-based reject-option classifiers

    Thomas C. W. Landgrebe;David M. J. Tax;Pavel Paclík;Robert P. W. Duin

  • Classifier Conditional Posterior Probabilities

    Robert P. W. Duin;David M. J. Tax

Frequent Co-Authors

Robert P. W. Duin
Robert P. W. Duin Delft University of Technology
Marco Loog
Marco Loog Radboud University
Marleen de Bruijne
Marleen de Bruijne Erasmus University Rotterdam
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Laurens van der Maaten
Laurens van der Maaten Facebook (United States)
Tadas Baltrusaitis
Tadas Baltrusaitis Microsoft (United States)
Pavel Laskov
Pavel Laskov University of Liechtenstein
Bram van Ginneken
Bram van Ginneken Radboud University
Petia Radeva
Petia Radeva University of Barcelona
Louis-Philippe Morency
Louis-Philippe Morency Carnegie Mellon University

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