Classification of epileptic cerebral activity using robust features and support vector machines. - Chahira Mahjoub; Sahbi Chaibi; Tarek Lajnef; Abdennaceur Kachouri (IPAS, 2016)

Investigation of nonlinear granger causality in the context of epilepsy. - Chahira Mahjoub; Jean-Jacques Bellanger; Sahbi Chaibi; Abdennaceur Kachouri; Régine Le Bouquin Jeannes (EUSIPCO, 2017)

Detection of Epileptic High Frequency Oscillations Using Support Vector Machines. - Sahbi Chaibi; Fatma Krikid; Chahira Mahjoub; Tarek Lajnef; Régine Le Bouquin-Jeannès; Abdennaceur Kachouri (ATSIP, 2020)

On the performance of temporal Granger causality measurements on time series: a comparative study. - Chahira Mahjoub; Jean-Jacques Bellanger; Abdennaceur Kachouri; Régine Le Bouquin-Jeannès (Signal Image Video Process., 2020)

Pitfalls of spikes filtering for detecting High Frequency Oscillations (HFOs). - Sahbi Chaibi; Chahira Mahjoub; Fatma Krikid; Ahmad Karfoul; Régine Le Bouquin-Jeannès; Abdennaceur Kachouri (SSD, 2021)

Epileptogenic zone localization based on partial directed coherence and graph analysis: a case study. - Chahira Mahjoub; Sahbi Chaibi; Anca Nica; Abdennaceur Kachouri; Régine Le Bouquin-Jeannès (Signal Image Video Process., 2023)

Interactive interface for spatio-temporal mapping of epileptic human brain using characteristics of high frequency oscillations (HFOs). - Sahbi Chaibi; Chahira Mahjoub; Régine Le Bouquin Jeannes; Abdennaceur Kachouri (Biomed. Signal Process. Control., 2023)

Innovative Feature Extraction and Machine Learning Joint Approaches for Automated Detection of Focal Cortical Dysplasia Type II. - Samah Yahia; Nazik Alturki; Chahira Mahjoub; Oumaima Saidani; Ridha Ejbali (IEEE Access, 2024)

An adversarial environment reinforcement learning-driven intrusion detection algorithm for Internet of Things. - Chahira Mahjoub; Monia Hamdi; Reem Ibrahim Alkanhel; Safa Mohamed; Ridha Ejbali (EURASIP J. Wirel. Commun. Netw., 2024)