| Progressive compression and weight reinforcement for spiking neural networks H Elbez, M Kamel Benhaoua, P Devienne, P Boulet Concurrency and Computation: Practice and Experience 34 (11), e6891, 2022 | 5 | 2022 |
| Visualization Techniques in SNN Simulators H Elbez, K Benhaoua, P Devienne, P Boulet 3rd International Conference on Multimedia Information Processing, CITIM’2018, 2018 | 3 | 2018 |
| Vs2n: Interactive dynamic visualization and analysis tool for spiking neural networks H Elbez, MK Benhaoua, P Devienne, P Boulet 2021 International Conference on Content-Based Multimedia Indexing (CBMI), 1-6, 2021 | 1 | 2021 |
| Neural Network Scalable Spiking Simulator B Pierre, D Phillippe, F Pierre, P Guillermo, S Mayhar, H Elbez, F Mazdak CRIStAL UMR 9189; Lille University, 2024 | | 2024 |
| Morphometrics and machine learning discrimination of the middle Eocene radiolarian species Podocyrtis chalara, Podocyrtis goetheana and their morphological intermediates F Pinto, V Carlsson, M Meunier, B Van Bocxlaer, H Elbez, M Cueille, ... Marine Micropaleontology 185, 102293, 2023 | | 2023 |
| Progressive Layer-based Compression for Convolutional Spiking Neural Network H Elbez, M Fatahi | | 2023 |
| Visualisation interactive de traces de simulation de réseaux neurones matériels à impulsions H Elbez | | 2022 |
| Interactive analysis of spiking neural networks simulation traces H Elbez Université de Lille; Université Mustapha Stambouli de Mascara (Algérie), 2022 | | 2022 |
| Compression progressive et renforcement du poids pour les réseaux de neurones a impulsions H Elbez, K Benhaoua, P Devienne, P Boulet Wiley, 2022 | | 2022 |
| Artificial Intelligence and Micropaleontology: a case study from the Eocene genus Podocyrtis V Carlsson, T Danelian, P Boulet, P Devienne, H Elbez, A Laforge 27e édition de la Réunion des Sciences de la Terre, 2021 | | 2021 |
| 1 SPIKES ACTIVITY PER NEURON FOR EACH LAYER H Elbez, M Fatahi | | |
Pierre BouletUniv. LilleVerified email at univ-lille.fr
