Fekhr Eddine Keddous

According to our database1, Fekhr Eddine Keddous authored at least 9 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

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

Inference Acceleration of Deep Learning Classifiers Based on RNN.
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

FFCNN: Fast FPGA based Acceleration for Convolution neural network inference.
CoRR, 2022

Optimal CNN-Hopfield Network for Pattern Recognition Based on a Genetic Algorithm.
Algorithms, 2022

2021
Characters Recognition based on CNN-RNN architecture and Metaheuristic.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

FPGA acceleration in EVOLVE's Converged Cloud-HPC Infrastructure.
Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021


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