News
ETIS will be very happy to guide you and support you in the application process for the CNRS 2024 competitive recruitment. Do not hesitate to contact us to discuss your scientific program, […]
Ten inspiring women scientists from the four teams of the ETIS lab share their career path, their passion for their research domain, and their opinions on gender parity questions in […]
ETIS is recruiting three new research professors for September 2023: You can consult the detailed profiles in the recruitment area (https://www.etis-lab.fr/jobs-phd-stages/) and ask for more information from the contacts mentioned.
Katerina Tzompanaki a participé à la campagne “EUTOPIA pour la Journée internationale des femmes et des filles de …
ETIS accueille trois visites insolites du CNRS le 13 octobre 2022. Une conférence-débat aura également lieu le 12 …
Entretien croisé avec Valérie Lee et Camille Simon-Chane Surveiller des fonds, préparer des chantiers de collections, trier des …
Lola Cañamero and Philippe Gaussier are the general chair of the 16th International Conference on the Simulation of …
In collaboration with ETIS, Central Washington University (USA) and Transilvania University of Brasov (Romania), we organise the 2nd …
Lola Cañamero (PU et Chaire INEX Neurosciences et Robotique au laboratoire ETIS, dans l’équipe Neurocybernétique) a donné une …
From February 2022, Mathias Quoy will spend 6 months at IPAL. From February 2022, Mathias Quoy will spend …
Clara Brémond introduces “Micro-Unet” architecture for brightfield image segmentation during GDR ISIS workshop. On 26th of November, Clara …
Student Paper Award for Sebastien Thomet at 34th DFT IEEE Conference Sebastien Thomet (PhD student, CELL team, STMicro) …
- Integrated neuro-robotic approaches for autonomous vehicle localisation and navigation
- Machine Learning-based Robust Physical Layer Authentication Using Angle of Arrival Estimation
- Deep Reinforcement Learning-Based Network Slicing Algorithm for 5G Heterogenous Services
- Wing Interferential Patterns (WIPs) and machine learning for the classification of some Aedes species of medical interest
- Deep learning and wing interferential patterns identify Anopheles species and discriminate amongst Gambiae complex species
- DeepSquitoes: A mobile system framework for the surveillance of disease-carrying mosquitoes
- Security Analysis of SDiTH
- Novel Slice Admission Control Scheme with Overbooking and Dynamic Buyback Process
- Clustering for the Analysis and Enrichment of Corpus of Images for the Spatio-temporal Monitoring of Restoration Sites
