Cross-Subject EEG Signal Classification with Deep Neural Networks Applied to Motor Imagery. - Mouad Riyad; Mohammed Khalil; Abdellah Adib (MSPN, 2019)

Incep-EEGNet: A ConvNet for Motor Imagery Decoding. - Mouad Riyad; Mohammed Khalil; Abdellah Adib (ICISP, 2020)

Hyperparameter Bayesian Optimisation applied to ConvNets for Motor Imagery tasks. - Mouad Riyad; Mohammed Khalil; Abdellah Adib (INISTA, 2021)

A novel multi-scale convolutional neural network for motor imagery classification. - Mouad Riyad; Mohammed Khalil; Abdellah Adib (Biomed. Signal Process. Control., 2021)

Convolutional Neural Networks for P300 Signal Detection Applied to Brain Computer Interface. - Mouad Riyad; Mohammed Khalil; Abdellah Adib (J. Autom. Mob. Robotics Intell. Syst., 2021)

Dimensionality Reduction of MI-EEG Data via Convolutional Autoencoders with a Low Size Dataset. - Mouad Riyad; Mohammed Khalil; Abdellah Adib (CBI, 2022)

Investigation of Attention Based Convolutional Neural Network for Motor Imagery Classification. - Mouad Riyad; Abdellah Adib (ISIVC, 2024)

CET-attention mechanism impact on the classification of EEG signals. - Mouad Riyad; Abdellah Adib (Ann. des Télécommunications, 2025)