Twin network augmentation : a novel training strategy for improved spiking neural networks and weight quantization
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Neural computation - ISSN 0899-7667-38:10 (2026) p. 1850-1871
Parameter-efficient deep learning : shrinking neural networks via guided training and iterative pruning
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Antwerp, University of Antwerp, Faculty of Science, 2026,xxviii, 166 p.
Improving neural network accuracy by concurrently training with a twin network
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ICLR 2025 : thirteenth International Conference on Learning Representations, 24-28 April, 2025, Singapore- () p. 1-14
Recognizing actions in high-resolution low-framerate videos : a feasibility study in the construction sector
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Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 27-29 February, 2024, Rome, Italy- () p. 593-600
On the coherency of quantitative evaluation of visual explanations
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Computer vision and image understanding - ISSN 1077-3142-241 (2024) p. 1-9