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Learning Event-based Spatio-Temporal Feature Descriptors via Local Synaptic Plasticity: A Biologically-realistic Perspective of Computer Vision


Nov 04, 2021
Ali Safa, Hichem Sahli, André Bourdoux, Ilja Ocket, Francky Catthoor, Georges Gielen


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Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging


Dec 02, 2020
Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Perez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chana, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke


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Efficient Convolutional Auto-Encoding via Random Convexification and Frequency-Domain Minimization


Nov 28, 2016
Meshia Cédric Oveneke, Mitchel Aliosha-Perez, Yong Zhao, Dongmei Jiang, Hichem Sahli

* Accepted at NIPS 2016 Workshop on Efficient Methods for Deep Neural Networks (EMDNN) 

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