Safwen Naimi

According to our database, Safwen Naimi authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations.

Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau, Brian L. Mishara

CoRR, May, 2026

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

InceptoFormer: A Multi-Signal Neural Framework for Parkinson's Disease Severity Evaluation from Gait.

Safwen Naimi, Arij Saïd, Wassim Bouachir, Guillaume-Alexandre Bilodeau

Proceedings of the 38th Canadian Conference on Artificial Intelligence, 2025

2024

1D-convolutional transformer for Parkinson disease diagnosis from gait.

Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau

Neural Comput. Appl., February, 2024

ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL.

Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau

Proceedings of the International Conference on Machine Learning and Applications, 2024

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

Proceedings of the International Conference on Machine Learning and Applications, 2023

HCT: Hybrid Convnet-Transformer for Parkinson's Disease Detection and Severity Prediction from Gait.

Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau

Proceedings of the International Conference on Machine Learning and Applications, 2023

2021

Hybrid BYOL-ViT: Efficient approach to deal with small datasets.

Safwen Naimi, Rien van Leeuwen, Wided Souidène, Slim Ben Saoud

CoRR, 2021