Fekhr Eddine Keddous
According to our database1,
Fekhr Eddine Keddous
authored at least 10 papers
between 2021 and 2024.
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Bibliography
2024
Neurocomputing, 2024
2023
Convolutional Neural Network Compression Based on Improved Fractal Decomposition Algorithm for Large Scale Optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Metaheuristic based framework for Deep Neural Networks compression via DeepCABAC Arithmetic Coding and Fractional Filter.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Deep Learning Models Compression Based on Evolutionary Algorithms and Digital Fractional Differentiation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Inference acceleration and optimization in deep neural networks for computer vision. (Accélération et optimisation de l'inférence dans les réseaux de neurones profonds pour la vision par ordinateur).
PhD thesis, 2022
CoRR, 2022
Algorithms, 2022
2021
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021
Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021