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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
667
Notices
303
Statistiques par discipline
Mots clés
Clinical trials
Super-resolution
Spiking neural networks
Federated learning
Change point detection
Computational Topology
Artificial Intelligence
Diffusion strategy
SPARQL
Dimensionality reduction
Cable-driven parallel robot
Hyperbolic systems of conservation laws
Computing methodologies
Electrocardiogram
Clustering
Domain adaptation
Image segmentation
Convolutional Neural Networks
Data augmentation
Sparsity
Apprentissage profond
53B20
Multiple Sclerosis
Electrophysiology
CNN
Extreme value theory
Consensus
Electronic medical record
Unsupervised learning
Excursion sets
Web of Things
Isomanifolds
Contrastive learning
Convolutional neural network
Explainable AI
Autoencoder
Convolutional neural networks
Semantic web
Embedded Systems
Atrial fibrillation
Multi-Agent Systems
Computer vision
Information Extraction
Latent block model
Graph signal processing
Linked data
Privacy
Visualization
Topological Data Analysis
Semantic Web
Image fusion
Fluorescence microscopy
Knowledge graphs
Coxeter triangulation
Autonomous vehicles
Brain-inspired computing
Grammatical Evolution
NLP Natural Language Processing
Persistent homology
Ontology Learning
Artificial intelligence
Segmentation
Graph neural networks
OPAL-Meso
MRI
COVID-19
Medical imaging
Biomarkers
Distributed optimization
Co-clustering
Argument Mining
Deep learning
Dense labeling
Alzheimer's disease
Extracellular matrix
Linked Data
Hyperspectral data
Macroscopic traffic flow models
Anomaly detection
FPGA
Healthcare
Arguments
Predictive model
Differential privacy
RDF
Machine learning
Neural networks
Semantic segmentation
Convergence analysis
Fibronectin
Echocardiography
Atrial Fibrillation
Uncertainty
Event cameras
Diffusion MRI
Spiking Neural Networks
Knowledge graph
Optimization
Federated Learning
Deep Learning