Publications

• 2023

  Benchmarking Outlier Detection Methods for Detecting IEM Patients in Untargeted Metabolomics Data

  Michiel Bongaerts / Purva Kulkarni / Alan Zammit / Ramon Bonte / Leo A. J. Kluijtmans / Henk J. Blom / Udo F. H. Engelke / D.M.J. Tax / George J.G. Ruijter / M.J.T. Reinders

• 2023

  Continual prune-and-select

  Class-incremental learning with specialized subnetworks
  Aleksandr Dekhovich / David M.J. Tax / Marel H.F. Sluiter / Miguel A. Bessa

• 2023

  Detecting outliers from pairwise proximities

  Proximity isolation forests
  Antonella Mensi / David M.J. Tax / Manuele Bicego

• 2023

  Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability

  Ramin Ghorbani / Marcel J.T. Reinders / David M.J. Tax

• 2022

  A Spatiotemporal Deep Neural Network Useful for Defect Identification and Reconstruction of Artworks Using Infrared Thermography

  M. Moradi / R. Ghorbani / Stefano Sfarra / D.M.J. Tax / D. Zarouchas

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