| Multilayer perceptron: Architecture optimization and training H Ramchoun, Y Ghanou, M Ettaouil, MA Janati Idrissi International Journal of Interactive Multimedia and Artificial Intelligence …, 2016 | 663 | 2016 |
| Genetic algorithm for neural network architecture optimization MAJ Idrissi, H Ramchoun, Y Ghanou, M Ettaouil 2016 3rd International conference on logistics operations management (GOL), 1-4, 2016 | 79 | 2016 |
| Multilayer Perceptron: Architecture Optimization and training with mixed activation functions H Ramchoun, MAJ Idrissi, Y Ghanou, M Ettaouil Proceedings of the 2nd international Conference on Big Data, Cloud and …, 2017 | 50 | 2017 |
| New modeling of multilayer perceptron architecture optimization with regularization: an application to pattern classification H Ramchoun, MAJ Idrissi, Y Ghanou, M Ettaouil IAENG International Journal of Computer Science 44 (3), 261-269, 2017 | 39 | 2017 |
| Training feedforward neural network via multiobjective optimization model using non-smooth L1/2 regularization K Senhaji, H Ramchoun, M Ettaouil Neurocomputing 410, 1-11, 2020 | 21 | 2020 |
| Hamiltonian Monte Carlo based on evidence framework for Bayesian learning to neural network H Ramchoun, M Ettaouil Soft Computing 23, 4815-4825, 2019 | 7 | 2019 |
| Multilayer perceptron new method for selecting the architecture based on the choice of different activation functions H Ramchoun, MAJ Idrissi, Y Ghanou, M Ettaouil International Journal of Information Systems in the Service Sector (IJISSS …, 2019 | 6 | 2019 |
| Multilayer perceptron: NSGA II for a new multi-objective learning method for training and model complexity K Senhaji, H Ramchoun, M Ettaouil Lecture Notes in Real-Time Intelligent Systems, 154-167, 2019 | 6 | 2019 |
| Convergence of batch gradient algorithm with smoothing composition of group and regularization for feedforward neural networks H Ramchoun, M Ettaouil Progress in Artificial Intelligence 11 (3), 269-278, 2022 | 2 | 2022 |
| New prior distribution for Bayesian neural network and learning via Hamiltonian Monte Carlo H Ramchoun, M Ettaouil Evolving Systems 11 (4), 661-671, 2020 | 2 | 2020 |
| Convergence and parameters setting of continuous Hopfield neural networks applied to image restoration problem J Nour-eddine, R Hassan, Z En-Naimani, E Mohamed Artificial Intelligence and Industrial Applications: Smart Operation …, 2021 | 1 | 2021 |
| Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization K Elghazi, H Ramchoun, T Masrour Evolving Systems, 1-17, 2024 | | 2024 |
| Sparse smooth group L0∘ L1/2 regularization method for convolutional neural networks M Quasdane, H Ramchoun, T Masrour Knowledge-Based Systems 284, 111327, 2024 | | 2024 |
| Genetic Algorithm for CNN Architecture Optimization K Elghazi, H Ramchoun, T Masrour International Conference on Artificial Intelligence & Industrial …, 2023 | | 2023 |
| Learning Sparse Fully Connected Layers in Convolutional Neural Networks M Quasdane, H Ramchoun, T Masrour International Conference on Artificial Intelligence & Industrial …, 2023 | | 2023 |
| New Prior Model for Bayesian Neural Networks Learning and Application to Classification of Tissues in Mammographic Images H Ramchoun, M Ettaouil Lecture Notes in Real-Time Intelligent Systems, 143-153, 2019 | | 2019 |
Youssef GHANOUMoulay Ismail university of MeknesVerified email at umi.ac.ma
