index - 3IA Côte d’Azur – Interdisciplinary Institute for Artificial Intelligence

 

3IA Côte d'Azur - Interdisciplinary Institute for Artificial Intelligence

3IA Côte d'Azur est l'un des quatre "Instituts interdisciplinaires d'intelligence artificielle" créés en France en 2019. Son ambition est de créer un écosystème innovant et influent au niveau local, national et international. L'institut 3IA Côte d'Azur est piloté par Université Côte d'Azur en partenariat avec les grands partenaires de l'enseignement supérieur et de la recherche de la région niçoise et de Sophia Antipolis : CNRS, Inria, INSERM, EURECOM, SKEMA Business School. L'institut 3IA Côte d'Azur est également soutenu par l'ECA, le CHU de Nice, le CSTB, le CNES, l'Institut Data ScienceTech et l'INRAE. Le projet a également obtenu le soutien de plus de 62 entreprises et start-ups.

Derniers dépôts

Chargement de la page

Documents en texte intégral

684

Notices

304

Statistiques par discipline

Mots clés

Computer vision Co-clustering Unsupervised learning Privacy Atrial Fibrillation Super-resolution Spiking neural networks Clustering Deep Learning Predictive model Argument Mining Deep learning Image fusion Linked Data Excursion sets Visualization Coxeter triangulation 53B20 Computational Topology Knowledge graph Semantic Web Grammatical Evolution SPARQL Latent block model Multiple Sclerosis FPGA Federated learning Machine learning Knowledge graphs Optimization Artificial intelligence RDF Clinical trials Healthcare ECG Consensus Domain adaptation Segmentation Graph signal processing NLP Natural Language Processing Distributed optimization Convolutional neural network Convergence analysis Fluorescence microscopy Cable-driven parallel robot Alzheimer's disease Convolutional Neural Networks Computing methodologies Embedded Systems Neural networks Federated Learning Contrastive learning Data augmentation Persistent homology Arguments Web of Things Convolutional neural networks Explainable AI Electrocardiogram Semantic segmentation Sparsity Macroscopic traffic flow models Topological Data Analysis Extreme value theory Artificial Intelligence Anomaly detection COVID-19 Atrial fibrillation Hyperbolic systems of conservation laws Autoencoder Image segmentation Brain-inspired computing Dense labeling Echocardiography Medical imaging Change point detection Autonomous vehicles Electrophysiology Spiking Neural Networks Isomanifolds Information Extraction Graph neural networks Ontology Learning OPAL-Meso Hyperspectral data Linked data Geometric graphs Multi-Agent Systems Uncertainty Apprentissage profond CNN Diffusion strategy Biomarkers MRI Electronic medical record Dimensionality reduction Diffusion MRI Correlation matrices Semantic web Differential privacy