Expertise
Engineering & Materials Science
# Biometrics
# Classifiers
# Deep Learning
# Face Recognition
# Feature Extraction
# Image Resolution
# Palmprint Recognition
Medicine & Life Sciences
# Deep Learning
Organisations
Ancillary Activities
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20Face
Advisor and shareholder 20Face -
EAB European Assiociation for Biometrics
Chair Academia SIG EAB -
NTNU
Professorship at another university
Publications
Recent
Zheng, S., Guo, J., Langendijk, J. A., Both, S.
, Veldhuis, R. N. J., Oudkerk, M., van Ooijen, P. M. A., Wijsman, R.
, & Sijtsema, N. M. (2023).
Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning.
Radiotherapy and oncology,
180, [109483].
https://doi.org/10.1016/j.radonc.2023.109483
Bassit, A.
, Hahn, F.
, Veldhuis, R. N. J.
, & Peter, A. (2023).
Multiplication-Free Biometric Recognition for Faster Processing under Encryption. In
2022 IEEE International Joint Conference on Biometrics (IJCB) (IEEE International Joint Conference on Biometrics (IJCB); Vol. 2022). IEEE.
https://doi.org/10.1109/IJCB54206.2022.10007958
Kelly, U. M.
, Spreeuwers, L.
, & Veldhuis, R. (2023).
Exploring Face De-Identification using Latent Spaces. In
2022 IEEE International Joint Conference on Biometrics, IJCB 2022 (pp. 1-7). [10007990] (IEEE International Joint Conference on Biometrics (IJCB); Vol. 2022). IEEE.
https://doi.org/10.1109/IJCB54206.2022.10007990
Kelly, U. M.
, Spreeuwers, L.
, & Veldhuis, R. N. J. (2022).
Worst-Case Morphs: a Theoretical and a Practical Approach. In A. Bromme, N. Damer, M. Gomez-Barrero, K. Raja, C. Rathgeb, A. F. Sequeira, M. Todisco, & A. Uhl (Eds.),
2022 International Conference of the Biometrics Special Interest Group (BIOSIG) IEEE.
https://doi.org/10.1109/BIOSIG55365.2022.9896965
Atashgahi, Z.
, Mocanu, D. C.
, Veldhuis, R. N. J., & Pechenizkiy, M. (2022).
Memory-free Online Change-point Detection: A Novel Neural Network Approach. ArXiv.org.
https://arxiv.org/abs/2207.03932
Wang, S.
, Veldhuis, R.
, Brune, C.
, & Strisciuglio, N. (2022).
Frequency Shortcut Learning in Neural Networks. In
NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications
https://openreview.net/forum?id=zAfUHtSGWw
Atashgahi, Z., Pieterse, J., Liu, S.
, Mocanu, D. C.
, Veldhuis, R. N. J., & Pechenizkiy, M. (2022).
A brain-inspired algorithm for training highly sparse neural networks.
Machine Learning,
111(12), 4411-4452.
https://doi.org/10.1007/s10994-022-06266-w
Arican, T.
, Veldhuis, R.
, & Spreeuwers, L. (2022).
Fingers Crossed: An Analysis of Cross-Device Finger Vein Recognition. In A. Bromme, N. Damer, M. Gomez-Barrero, K. Raja, C. Rathgeb, A. F. Sequeira, M. Todisco, & A. Uhl (Eds.),
2022 International Conference of the Biometrics Special Interest Group (BIOSIG) IEEE.
https://doi.org/10.1109/BIOSIG55365.2022.9897029
Haasnoot, E.
, Spreeuwers, L. J.
, & Veldhuis, R. N. J. (2022).
Presentation attack detection and biometric recognition in a challenge-response formalism.
EURASIP journal on information security,
2022(1), [5].
https://doi.org/10.1186/s13635-022-00131-y
Lestriandoko, N. H.
, Veldhuis, R.
, & Spreeuwers, L. (2022).
The contribution of different face parts to deep face recognition.
Frontiers in Computer Science,
4, 1-16. [958629].
https://doi.org/10.3389/fcomp.2022.958629
UT Research Information System
Courses Academic Year 2022/2023
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses Academic Year 2021/2022
Contact Details
Visiting Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(building no. 11), room 4074
Hallenweg 19
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
4074
P.O. Box 217
7500 AE Enschede
The Netherlands