Genetic algorithm for neural network architecture optimization. - Mohammed Amine Janati Idrissi; Hassan Ramchoun; Youssef Ghanou; Mohamed Ettaouil (GOL, 2016)

Multilayer Perceptron: Architecture Optimization and Training. - Hassan Ramchoun; Mohammed Amine Janati Idrissi; Youssef Ghanou; Mohamed Ettaouil (Int. J. Interact. Multim. Artif. Intell., 2016)

Multilayer Perceptron: Architecture Optimization and training with mixed activation functions. - Hassan Ramchoun; Mohammed Amine Janati Idrissi; Youssef Ghanou; Mohamed Ettaouil (BDCA, 2017)

Multilayer Perceptron New Method for Selecting the Architecture Based on the Choice of Different Activation Functions. - Hassan Ramchoun; Mohammed Amine Janati Idrissi; Youssef Ghanou; Mohamed Ettaouil (Int. J. Inf. Syst. Serv. Sect., 2019)

Hamiltonian Monte Carlo based on evidence framework for Bayesian learning to neural network. - Hassan Ramchoun; Mohamed Ettaouil (Soft Comput., 2019)

New prior distribution for Bayesian neural network and learning via Hamiltonian Monte Carlo. - Hassan Ramchoun; Mohamed Ettaouil (Evol. Syst., 2020)

Training feedforward neural network via multiobjective optimization model using non-smooth L1/2 regularization. - Kaoutar Senhaji; Hassan Ramchoun; Mohamed Ettaouil (Neurocomputing, 2020)

Convergence of batch gradient algorithm with smoothing composition of group l0 and l1/2 regularization for feedforward neural networks. - Hassan Ramchoun; Mohamed Ettaouil (Prog. Artif. Intell., 2022)

Sparse smooth group L0∘L1/2 regularization method for convolutional neural networks. - Mohamed Quasdane; Hassan Ramchoun; Tawfik Masrour (Knowl. Based Syst., 2024)

Gaussian mixture models for training Bayesian convolutional neural networks. - Bakhouya Mostafa; Hassan Ramchoun; Hadda Mohammed; Tawfik Masrour (Evol. Intell., 2024)

Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization. - Khalid Elghazi; Hassan Ramchoun; Tawfik Masrour (Evol. Syst., 2024)