Veldhuis, Raymond N. J.

8 publications

ECML-PKDD 2024 Adaptive Sparsity Level During Training for Efficient Time Series Forecasting with Transformers Zahra Atashgahi, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu

ICCVW 2023 DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning Shunxin Wang, Christoph Brune, Raymond N. J. Veldhuis, Nicola Strisciuglio

MLJ 2022 A Brain-Inspired Algorithm for Training Highly Sparse Neural Networks Zahra Atashgahi, Joost Pieterse, Shiwei Liu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy

MLJ 2022 Quick and Robust Feature Selection: The Strength of Energy-Efficient Sparse Training for Autoencoders Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy

CVPRW 2010 Complex Spectral Minutiae Representation for Fingerprint Recognition Haiyun Xu, Raymond N. J. Veldhuis

CVPRW 2008 Biometric Binary String Generation with Detection Rate Optimized Bit Allocation Chun Chen, Raymond N. J. Veldhuis, Tom A. M. Kevenaar, Anton H. M. Akkermans

CVPRW 2008 Hybrid Fusion for Biometrics: Combining Score-Level and Decision-Level Fusion Qian Tao, Raymond N. J. Veldhuis

CVPRW 2008 Spectral Minutiae: A Fixed-Length Representation of a Minutiae Set Haiyun Xu, Raymond N. J. Veldhuis, Tom A. M. Kevenaar, Anton H. M. Akkermans, Asker M. Bazen