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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
Documents en texte intégral
660
Notices
308
Statistiques par discipline
Mots clés
Healthcare
Knowledge graphs
Artificial intelligence
Computational Topology
Autoencoder
Coxeter triangulation
Co-clustering
Multi-Agent Systems
Diffusion strategy
Image segmentation
Unsupervised learning
Predictive model
Embedded Systems
Biomarkers
Arguments
Alzheimer's disease
OPAL-Meso
Convolutional Neural Networks
Latent block model
Uncertainty
Spiking neural networks
Federated learning
Neural networks
Argument Mining
COVID-19
Finite volume schemes
Event cameras
Electrocardiogram
Artificial Intelligence
Autonomous vehicles
Deep learning
Ontology Learning
Image fusion
Clinical trials
FPGA
Atrial fibrillation
Apprentissage profond
Echocardiography
Distributed optimization
Spiking Neural Networks
NLP Natural Language Processing
Cable-driven parallel robot
Machine learning
Linked data
Topological Data Analysis
Explainable AI
Medical imaging
Differential privacy
Grammatical Evolution
Data augmentation
Extracellular matrix
Macroscopic traffic flow models
53B20
Contrastive learning
Isomanifolds
MRI
Graph neural networks
Dense labeling
Information Extraction
Linked Data
Fluorescence microscopy
Fibronectin
Federated Learning
Dimensionality reduction
Consensus
Electronic medical record
SPARQL
Multiple Sclerosis
Gaussian mechanism
Computing methodologies
Convolutional neural network
Persistent homology
Super-resolution
Deep Learning
Clustering
Diffusion MRI
RDF
Atrial Fibrillation
Web of Things
Hyperbolic systems of conservation laws
Optimization
Domain adaptation
Semantic web
Anomaly detection
Electrophysiology
Hyperspectral data
Knowledge graph
Excursion sets
Extreme value theory
Semantic segmentation
CNN
Brain-inspired computing
Semantic Web
Computer vision
Visualization
Segmentation
Convolutional neural networks
Convergence analysis
Privacy
Sparsity