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

Congratulations to the authors of the following publications!

Arsenia Chorti

Plusieurs chercheurs, dont la professeure Arsenia Chorti (ETIS, équipe ICI), ont publié une étude ouvrant la voie au …

XAIDATA, Spring School on Explainability of Data Intensive AI Systems at the ETIS laboratory, CY University/ENSEA/CNRS 📍 SHS …

PhD Day 2026

Le 12 mars dernier, la Journée Des Doctorant.e.s (JDD) du laboratoire ETIS était un moment privilégié d’échanges et …