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

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

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

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

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

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

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

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

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

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

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