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)

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)

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)

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