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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
642
Notices
299
Statistiques par discipline
Mots clés
Electrocardiogram
Hyperbolic systems of conservation laws
Healthcare
Linked Data
Autonomous vehicles
Diffusion strategy
Echocardiography
Isomanifolds
Contrastive learning
Embedded Systems
Convergence analysis
Computer vision
Image fusion
Linked data
Atrial Fibrillation
Clinical trials
Clustering
Topological Data Analysis
Crossings
Spiking neural networks
Graph neural networks
Latent block model
Data augmentation
Macroscopic traffic flow models
Differential privacy
Knowledge graph
Excursion sets
Medical imaging
NLP Natural Language Processing
Computational Topology
Artificial intelligence
Domain adaptation
Argument Mining
Convolutional Neural Networks
Web of Things
Brain-inspired computing
Predictive model
Distributed optimization
CNN
Hyperspectral data
Multiple Sclerosis
Biomarkers
53B20
Atrial fibrillation
Arguments
Artificial Intelligence
Semantic segmentation
Neural networks
Anomaly detection
Physics-based learning
Image segmentation
OPAL-Meso
Multi-Agent Systems
Computing methodologies
Knowledge graphs
Federated Learning
COVID-19
Semantic web
Machine learning
MRI
Autoencoder
Event cameras
Cable-driven parallel robot
Information Extraction
Convolutional neural network
Privacy
Persistent homology
Visualization
Dimensionality reduction
Fluorescence microscopy
Dense labeling
RDF
Semantic Web
Deep Learning
Apprentissage profond
Ontology Learning
Spiking Neural Networks
Sparsity
Super-resolution
Consensus
Binary image
Federated learning
Optimization
Segmentation
Alzheimer's disease
Unsupervised learning
Extreme value theory
Coxeter triangulation
Electrophysiology
Electronic medical record
Grammatical Evolution
Convolutional neural networks
Diffusion MRI
Uncertainty
Deep learning
Simulations
Co-clustering
Extracellular matrix
Explainable AI
FPGA