A 0-1 Quadratic Knapsack Problem for Modelizing and Solving the Constaint Satisfaction Problems. - Mohamed Ettaouil (EPIA, 1997)

Novel method to optimize the architecture of Kohonen's topological maps and clustering. - Fidae Harchli; Es-Safi Abdelatif; Mohamed Ettaouil (GOL, 2014)

Architecture optimization model for the probabilistic self-organizing maps and classification. - Zakariae En-Naimani; Mohamed Lazaar; Mohamed Ettaouil (SITA, 2014)

Neural network apply to predict aircraft trajectory for conflict resolution. - R. Kaidi; Mohamed Lazaar; Mohamed Ettaouil (SITA, 2014)

Architecture Optimization Model for the Probabilistic Self-organizing Maps. - Zakariae En-Naimani; Mohamed Lazaar; Mohamed Ettaouil (BDCA, 2015)

A genetic algorithm for solving a new image restoration model based on selective filtering. - Nour-Eddine Joudar; Fidae Harchli; Es-Safi Abdelatif; Mohamed Ettaouil (SITA, 2015)

Original approach for reduction of high dimensionality in unsupervised learning. - Fidae Harchli; Es-Safi Abdelatif; Mohamed Ettaouil (GOL, 2016)

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

Portfolio selection problem: New multicriteria approach for the mean-semivariance model. - Kaoutar Senhaji; Karim El Moutaouakil; Mohamed Ettaouil (GOL, 2016)

Architecture Optimization Model for the Probabilistic Self-Organizing Maps and Speech Compression. - Zakariae En-Naimani; Mohamed Lazaar; Mohamed Ettaouil (Int. J. Comput. Intell. Appl., 2016)

Solving the Weighted Constraint Satisfaction Problems Via the Neural Network Approach. - Khalid Haddouch; Karim Elmoutaoukil; Mohamed Ettaouil (Int. J. Interact. Multim. Artif. Intell., 2016)

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

An improved model for restoring and protecting the digital images: mathematical modeling and optimization. - Nour-Eddine Joudar; Mohamed Ettaouil (BDCA, 2017)

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

Vector Quantization for Speech Compression by a New Version of PRSOM. - Fidae Harchli; Zakariae En-Naimani; Es-Safi Abdelatif; Mohamed Ettaouil (Int. J. Artif. Intell. Tools, 2018)

Mathematical mixed-integer programming for solving a new optimization model of selective image restoration: modelling and resolution by CHN and GA. - Nour-Eddine Joudar; Mohamed Ettaouil (Circuits Syst. Signal Process., 2019)

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)

Using continuous Hopfield neural network for solving a new optimization architecture model of probabilistic self organizing map. - Nour-Eddine Joudar; Zakariae En-Naimani; Mohamed Ettaouil (Neurocomputing, 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)

A nonlinear plane strain finite element analysis for multilayer elastomeric bearings. - Yassin Masrar; Mohamed Ettaouil (Appl. Math. Comput., 2021)

An adaptive Drop method for deep neural networks regularization: Estimation of DropConnect hyperparameter using generalization gap. - El houssaine Hssayni; Nour-Eddine Joudar; Mohamed Ettaouil (Knowl. Based Syst., 2022)

KRR-CNN: kernels redundancy reduction in convolutional neural networks. - El houssaine Hssayni; Nour-Eddine Joudar; Mohamed Ettaouil (Neural Comput. Appl., 2022)

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)

A deep learning framework for time series classification using normal cloud representation and convolutional neural network optimization. - El houssaine Hssayni; Nour-Eddine Joudar; Mohamed Ettaouil (Comput. Intell., 2022)

Improving Continuous Hopfield Network Stability Using Runge-Kutta Method. - Mohamed El Alaoui; Mohamed Ettaouil (Int. J. Comput., 2023)

Localization and reduction of redundancy in CNN using L1-sparsity induction. - El houssaine Hssayni; Nour-Eddine Joudar; Mohamed Ettaouil (J. Ambient Intell. Humaniz. Comput., 2023)

A Multi-objective Optimization Model for Redundancy Reduction in Convolutional Neural Networks. - Ali Boufssasse; El houssaine Hssayni; Nour-Eddine Joudar; Mohamed Ettaouil (Neural Process. Lett., 2023)

Multi-objective optimization for reducing feature maps redundancy in CNNs. - Ali Boufssasse; El houssaine Hssayni; Nour-Eddine Joudar; Mohamed Ettaouil (Multim. Tools Appl., 2024)

ODTL: An Optimal Deep Transfer Learning model for brain tumor classification. - Otmane Mallouk; Nour-Eddine Joudar; Mohamed Ettaouil (Neurocomputing, 2025)

Enhancing Brain Tumor Classification Through Optimal Kernel Selection With GL1$$ {GL}_1 $$-Regularization. - Otmane Mallouk; Nour-Eddine Joudar; Mohamed Ettaouil (Int. J. Imaging Syst. Technol., 2025)

STP-CNN: Selection of transfer parameters in convolutional neural networks. - Otmane Mallouk; Nour-Eddine Joudar; Mohamed Ettaouil (Expert Syst. J. Knowl. Eng., 2025)

Novel dropout approach for mitigating over-smoothing in graph neural networks. - El houssaine Hssayni; Ali Boufssasse; Nour-Eddine Joudar; Mohamed Ettaouil (Appl. Intell., 2025)