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