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