Programme

14:00 - 14:15: Accueil café - Bâtiment Esprit, Villeneuve d'Ascq.

14:15 - 16:15: 4 exposés:
   14:15 - 14:30: Top Two Algorithms Revisited - Marc Jourdan
   14:30 - 14:45: Privacy-Preserving Online Learning - Azize Achraf
   14:45 - 15:00: Modelling Symphonic Writing - Maccarini Francesco
   15:00 - 15:15: Online classification and diagnosis of COVID-19 symptoms by using an intelligent wearable system - Nkengue Marc Junior

15:15 - 16:00: Session posters + café
    1. Privacy amplification by decentralization - Edwige Cyffers (last minute: covid cancellation)
    2. A deep-learning approach to infer demography and targets of selection in genomes - Lan-Fong Guillaume
    3. Distributed Artificial Intelligence Integrated Circuits for Ultra-low-Power Smart Sensors - Chêne Mathieu
    4. Artificial intelligence-assisted development of Pd-based catalysts for the production of hydrogen peroxide - Jing YU
    5. Investigating the influence of a Knowledge Discovery process into MOEA/D - Legrand Clément
    6. Online classification and diagnosis of COVID-19 symptoms by using an intelligent wearable system - Nkengue Marc Junior
    7. Réseaux Génératifs Adverses avec prise en compte de Conditions Aux Limites pour la prédiction de la concentration en aérosols au niveau du sol - Dabrowski Matthieu

16:00 - 17:00: 4 exposés:
    16:15 - 16:30: Deep learning for lymphoma subtypes diagnosis on Whole Slide Images - Guetarni Bilel
    16:30 - 16:45: Embodied intelligence and mechanical modeling of soft robots using AI - Tanguy Navez
    16:45 - 17:00: Hybrid Artificial Intelligence System to Diagnose and Predict Tuberculosis - Napthaline Gerard
    17:00 - 17:15: Neuro-Symbolic Integration for Reinforcement Learning - Medeiros Centa Matheus

17:00 - 18:00: échanges / petits groupes