News

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

Une délégation de l’Advanced Telecommunication Research Institute International (ART, Japon) conduite par Monsieur Hiroyuki Suzuki, Executive Vice-President de …

Les membres d’ETIS ont participé au mouvement “Stand up for science/ Debout pour la science“. Cergy, vendredi 7 …

Prof. Lola Cañamero, member of the ETIS NEURO team, has recently become Editor-in-Chief of the Adaptive Behavior Journal. …

AIkaterini Tzompanaki and Nistor Grozavu, both members of the DATA&AI team (formerly MIDI) of ETIS, are co-organizers of …