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.

Documents en texte intégral

677

Notices

303

Statistiques par discipline

Mots clés

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