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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Naimi, S., Bouachir, W., & Bilodeau, G.-A. (2023). 1D-convolutional transformer for Parkinson disease diagnosis from gait. Neural Computing and Applications, 11 pages. External link
Naimi, S., Said, A., Bouachir, W., & Bilodeau, G.-A. (2025, May). InceptoFormer: a multi-signal neural framework for Parkinson's disease severity evaluation from gait [Paper]. 38th Canadian Conference on Artificial Intelligence (Canadian AI 2025), Calgary, Alberta, Canada (11 pages). Available
Naimi, S., Bouachir, W., Bilodeau, G.-A., & Mishara, B. (2025, February). SSTAR: Skeleton-Based Spatio-Temporal Action Recognition for Intelligent Video Surveillance and Suicide Prevention in Metro Stations [Paper]. IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW 2025), Tucson, AZ, USA. External link
Naimi, S., Bouachir, W., & Bilodeau, G.-A. (2024, December). ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL [Paper]. International Conference on Machine Learning and Applications (ICMLA 2024), Miami, FL, USA. External link
Naimi, S., Koubaa, O., Bouachir, W., Bilodeau, G.-A., Jeddore, G., Baines, P., Correia, D. L. P., & Arsenault, A. (2023, December). Automating Lichen Monitoring in Ecological Studies Using Instance Segmentation of Time-Lapse Images [Paper]. International Conference on Machine Learning and Applications (ICMLA 2023), Jacksonville, FL, USA. External link
Naimi, S., Bouachir, W., & Bilodeau, G.-A. (2023, December). HCT: Hybrid Convnet-Transformer for Parkinson's Disease Detection and Severity Prediction from Gait [Paper]. International Conference on Machine Learning and Applications (ICMLA 2023), Jacksonville, FL, USA. External link
