Human fall detection based on block matching and silhouette area. - Mariem Gnouma; Ridha Ejbali; Mourad Zaied (ICMV, 2016)

Deep learning architecture for recognition of abnormal activities. - Marwa Khatrouch; Mariem Gnouma; Ridha Ejbali; Mourad Zaied (ICMV, 2017)

Abnormal events' detection in crowded scenes. - Mariem Gnouma; Ridha Ejbali; Mourad Zaied (Multim. Tools Appl., 2018)

Video Anomaly Detection and Localization in Crowded Scenes. - Mariem Gnouma; Ridha Ejbali; Mourad Zaied (CISIS-ICEUTE, 2019)

Stacked sparse autoencoder and history of binary motion image for human activity recognition. - Mariem Gnouma; Ammar Ladjailia; Ridha Ejbali; Mourad Zaied (Multim. Tools Appl., 2019)

Violent scenes detection based on connected component analysis. - Samira Labbedi; Mariem Gnouma; Ridha Ejbali (ICMV, 2020)

Abnormal Event Detection Method Based on Spatiotemporal CNN Hashing Model. - Mariem Gnouma; Ridha Ejbali; Mourad Zaied (ISDA (4), 2022)

A temporal Human Activity Recognition Based on Stacked Auto Encoder and Extreme Learning Machine. - Mariem Gnouma; Ridha Ejbali; Mourad Zaied (CoDIT, 2023)

A two-stream abnormal detection using a cascade of extreme learning machines and stacked auto encoder. - Mariem Gnouma; Ridha Ejbali; Mourad Zaied (Multim. Tools Appl., 2023)

Enhanced Activity Recognition Through Joint Utilization of Decimal Descriptors and Temporal Binary Motions. - Mariem Gnouma; Samah Yahia; Ridha Ejbali; Mourad Zaied (ICCCI (2), 2024)

Deep Hashing and Sparse Representation of Abnormal Events Detection. - Mariem Gnouma; Ridha Ejbali; Mourad Zaied (Comput. J., 2024)