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Hassan Ramchoun
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2020 – today
- 2024
- [j9]Bakhouya Mostafa, Hassan Ramchoun, Hadda Mohammed, Tawfik Masrour
:
Gaussian mixture models for training Bayesian convolutional neural networks. Evol. Intell. 17(4): 2515-2536 (2024) - [j8]Khalid Elghazi, Hassan Ramchoun, Tawfik Masrour:
Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization. Evol. Syst. 15(4): 1503-1519 (2024) - [j7]Mohamed Quasdane
Sparse smooth group L0∘L1/2 regularization method for convolutional neural networks. Knowl. Based Syst. 284: 111327 (2024) - 2022
- [j6]Hassan Ramchoun, Mohamed Ettaouil:
Convergence of batch gradient algorithm with smoothing composition of group l0 and l1/2 regularization for feedforward neural networks. Prog. Artif. Intell. 11(3): 269-278 (2022) - 2020
- [j5]Hassan Ramchoun, Mohamed Ettaouil:
New prior distribution for Bayesian neural network and learning via Hamiltonian Monte Carlo. Evol. Syst. 11(4): 661-671 (2020) - [j4]Kaoutar Senhaji
Training feedforward neural network via multiobjective optimization model using non-smooth L1/2 regularization. Neurocomputing 410: 1-11 (2020)
2010 – 2019
- 2019
- [j3]Hassan Ramchoun, Mohammed Amine Janati Idrissi
Multilayer Perceptron New Method for Selecting the Architecture Based on the Choice of Different Activation Functions. Int. J. Inf. Syst. Serv. Sect. 11(4): 21-34 (2019) - [j2]Hassan Ramchoun, Mohamed Ettaouil:
Hamiltonian Monte Carlo based on evidence framework for Bayesian learning to neural network. Soft Comput. 23(13): 4815-4825 (2019) - 2017
- [c2]Hassan Ramchoun, Mohammed Amine Janati Idrissi
Multilayer Perceptron: Architecture Optimization and training with mixed activation functions. BDCA 2017: 71:1-71:6 - 2016
- [j1]Hassan Ramchoun, Mohammed Amine Janati Idrissi
Multilayer Perceptron: Architecture Optimization and Training. Int. J. Interact. Multim. Artif. Intell. 4(1): 26-30 (2016) - [c1]Mohammed Amine Janati Idrissi
Genetic algorithm for neural network architecture optimization. GOL 2016: 1-4
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