Scholar
Tom Heskes
Google Scholar ID: 3jUymSMAAAAJ
Professor of Computer Science and Artificial Intelligence, Radboud University Nijmegen
Machine Learning
Data Science
Deep Learning
Artificial Intelligence
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Citations & Impact
All-time
Citations
8,529
H-index
37
i10-index
111
Publications
20
Co-authors
140
list available
Contact
Email
tom.heskes@ru.nl
CV
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Publications
2 items
Bias-variance decompositions: the exclusive privilege of Bregman divergences
2025
Cited
0
Autoencoders for Anomaly Detection are Unreliable
2025
Cited
0
Resume (English only)
Research Experience
Professor of Artificial Intelligence at Radboud University Nijmegen
Served as Research Director of iCIS from 2009 to 2014
Director of Education for Computing Science and Information Sciences from February 2017 to February 2020
Currently Vice Dean of the Faculty of Science
Engaged in interdisciplinary research projects in biology, healthcare, physics, and astronomy
Background
Research focuses on data science and artificial intelligence, particularly machine learning
Uses probability theory and statistics to develop and understand computing systems that learn from data
Research group is part of the Institute for Computing and Information Sciences (iCIS) at Radboud University Nijmegen
Member of the Nijmegen ELLIS unit and an ELLIS Fellow
Involved in various ICAI labs; co-director of the AI for Parkinson lab
Co-authors
140 total
Tom Claassen
Radboud University Nijmegen
Marcel van Gerven
Professor of Artificial Cognitive Systems, Donders Institute for Brain, Cognition and Behaviour
Co-author 3
Co-author 4
Co-author 5
Co-author 6
Co-author 7
Co-author 8
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