Hybrid BYOL-ViT: Efficient approach to deal with small datasets. - Safwen Naimi; Rien van Leeuwen; Wided Souidène; Slim Ben Saoud (CoRR, 2021)

HCT: Hybrid Convnet-Transformer for Parkinson's Disease Detection and Severity Prediction from Gait. - Safwen Naimi; Wassim Bouachir; Guillaume-Alexandre Bilodeau (ICMLA, 2023)

Automating Lichen Monitoring in Ecological Studies Using Instance Segmentation of Time-Lapse Images. - Safwen Naimi; Olfa Koubaa; Wassim Bouachir; Guillaume-Alexandre Bilodeau; Gregory Jeddore; Patricia Baines; David L. P. Correia; Andre Arsenault (ICMLA, 2023)

ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL. - Safwen Naimi; Wassim Bouachir; Guillaume-Alexandre Bilodeau (ICMLA, 2024)

1D-convolutional transformer for Parkinson disease diagnosis from gait. - Safwen Naimi; Wassim Bouachir; Guillaume-Alexandre Bilodeau (Neural Comput. Appl., 2024)

InceptoFormer: A Multi-Signal Neural Framework for Parkinson's Disease Severity Evaluation from Gait. - Safwen Naimi; Arij Said; Wassim Bouachir; Guillaume-Alexandre Bilodeau (Canadian AI, 2025)

SSTAR: Skeleton-Based Spatio-Temporal Action Recognition for Intelligent Video Surveillance and Suicide Prevention in Metro Stations. - Safwen Naimi; Wassim Bouachir; Guillaume-Alexandre Bilodeau; Brian L. Mishara (WACV (Workshops), 2025)