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WIP, Machine Learning and Vector-Born Disease Tracking

 

In the framework of a long-term collaboration with IRD on blood-sucking insect population surveillance using machine learning on Wing Interference Pattern images, a first paper focusing on the tsetse fly has been recently published in Scientific Reports (Nature communications).

The paper is available here: https://www.nature.com/articles/s41598-022-24522-w

 

Other news

Lors de la conférence 2026 IEEE International Conference on Development and Learning (ICDL) à Kyoto, au Japon (15-18/09/26), …

Congratulations to Mai K. Nguyen for her Best Paper Award in the “Continual Learning in Medical Multimodal-Vision” category …

Félicitations à Raphaël D’Urso, doctorant en intelligence artificielle et robotique au sein de l’équipe Neurocybernetics du laboratoire ETIS, …

Félicitations à Hajar El Hassani, Ghiles Moustafaoui et Arsenia Chorti, dont les projets ont été retenus dans le …