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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
650
Notices
301
Statistiques par discipline
Mots clés
Spiking neural networks
Linked data
Domain adaptation
Convolutional neural network
Optimization
Cable-driven parallel robot
Embedded Systems
Extreme value theory
Uncertainty
Federated learning
Fibronectin
Medical imaging
Image fusion
Semantic Web
Ontology Learning
Knowledge graph
Graph neural networks
Semantic segmentation
Data augmentation
Federated Learning
Deep learning
Sparsity
Convolutional Neural Networks
53B20
Computational Topology
COVID-19
Hyperbolic systems of conservation laws
Convolutional neural networks
Explainable AI
Segmentation
Predictive model
Clinical trials
Extracellular matrix
Electronic medical record
Neural networks
Hyperspectral data
Topological Data Analysis
Consensus
Deep Learning
Information Extraction
Unsupervised learning
NLP Natural Language Processing
Alzheimer's disease
Distributed optimization
CNN
Clustering
Macroscopic traffic flow models
Diffusion MRI
Isomanifolds
Brain-inspired computing
Multi-Agent Systems
Anomaly detection
Super-resolution
Semantic web
Coxeter triangulation
Excursion sets
SPARQL
Electrophysiology
Multiple Sclerosis
Artificial intelligence
MRI
Computer vision
Diffusion strategy
Differential privacy
Spiking Neural Networks
Grammatical Evolution
Atrial Fibrillation
OPAL-Meso
Latent block model
Visualization
Persistent homology
Knowledge graphs
Echocardiography
Contrastive learning
Dimensionality reduction
Fluorescence microscopy
Healthcare
Simulations
Apprentissage profond
FPGA
Web of Things
Event cameras
Machine learning
Atrial fibrillation
Electrocardiogram
Linked Data
Convergence analysis
Biomarkers
Arguments
Privacy
Physics-based learning
Image segmentation
Autonomous vehicles
Argument Mining
Dense labeling
Computing methodologies
RDF
Co-clustering
Artificial Intelligence
Autoencoder