4 citations · 4 across the 7 of their papers we have counts for
7 papers
Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations
Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau +1
Understanding and monitoring human behavior in metro stations play an important role in supporting suicide prevention efforts, where early identification of high-risk situations ca…
InceptoFormer: A Multi-Signal Neural Framework for Parkinson's Disease Severity Evaluation from Gait
Safwen Naimi, Arij Said, Wassim Bouachir +1
We present InceptoFormer, a multi-signal neural framework designed for Parkinson's Disease (PD) severity evaluation via gait dynamics analysis. Our architecture introduces a 1D ada…
ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL
Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau
To extract robust and generalizable skeleton action recognition features, large amounts of well-curated data are typically required, which is a challenging task hindered by annotat…
1D-Convolutional transformer for Parkinson disease diagnosis from gait
Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau
This paper presents an efficient deep neural network model for diagnosing Parkinson's disease from gait. More specifically, we introduce a hybrid ConvNet-Transformer architecture t…
Automating lichen monitoring in ecological studies using instance segmentation of time-lapse images
Safwen Naimi, Olfa Koubaa, Wassim Bouachir +5
Lichens are symbiotic organisms composed of fungi, algae, and/or cyanobacteria that thrive in a variety of environments. They play important roles in carbon and nitrogen cycling, a…
HCT: Hybrid Convnet-Transformer for Parkinson's disease detection and severity prediction from gait
Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau
In this paper, we propose a novel deep learning method based on a new Hybrid ConvNet-Transformer architecture to detect and stage Parkinson's disease (PD) from gait data. We adopt…
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Safwen Naimi, Rien van Leeuwen, Wided Souidene +1
Supervised learning can learn large representational spaces, which are crucial for handling difficult learning tasks. However, due to the design of the model, classical image class…