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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.
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Documents en texte intégral
654
Notices
300
Statistiques par discipline
Mots clés
Anomaly detection
Knowledge graphs
Diffusion MRI
Super-resolution
Physics-based learning
Spiking neural networks
Diffusion strategy
Electrocardiogram
Distributed optimization
Extreme value theory
MRI
Multi-Agent Systems
Sparsity
Fibronectin
Excursion sets
Apprentissage profond
Autoencoder
Machine learning
Cable-driven parallel robot
Embedded Systems
Fluorescence microscopy
Topological Data Analysis
Medical imaging
Convolutional neural network
RDF
Linked Data
Brain-inspired computing
Visualization
Privacy
Semantic segmentation
Hyperspectral data
Multiple Sclerosis
Isomanifolds
Atrial fibrillation
Electronic medical record
Grammatical Evolution
Artificial Intelligence
Coxeter triangulation
Convolutional neural networks
Clustering
Contrastive learning
Co-clustering
CNN
Semantic Web
Computer vision
Web of Things
Neural networks
SPARQL
Federated learning
Argument Mining
Clinical trials
Optimization
Convolutional Neural Networks
53B20
Unsupervised learning
Predictive model
Artificial intelligence
NLP Natural Language Processing
Image fusion
Uncertainty
Macroscopic traffic flow models
Federated Learning
Convergence analysis
Arguments
Domain adaptation
Deep Learning
Segmentation
Biomarkers
Data augmentation
Alzheimer's disease
Dimensionality reduction
Spiking Neural Networks
Simulations
Electrophysiology
Computational Topology
Knowledge graph
Consensus
FPGA
Computing methodologies
Hyperbolic systems of conservation laws
Persistent homology
Atrial Fibrillation
Image segmentation
Autonomous vehicles
Explainable AI
COVID-19
Ontology Learning
Information Extraction
Graph neural networks
Differential privacy
Dense labeling
Extracellular matrix
Semantic web
Linked data
OPAL-Meso
Deep learning
Latent block model
Healthcare
Echocardiography
Event cameras