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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
684
Notices
304
Statistiques par discipline
Mots clés
Computer vision
Co-clustering
Unsupervised learning
Privacy
Atrial Fibrillation
Super-resolution
Spiking neural networks
Clustering
Deep Learning
Predictive model
Argument Mining
Deep learning
Image fusion
Linked Data
Excursion sets
Visualization
Coxeter triangulation
53B20
Computational Topology
Knowledge graph
Semantic Web
Grammatical Evolution
SPARQL
Latent block model
Multiple Sclerosis
FPGA
Federated learning
Machine learning
Knowledge graphs
Optimization
Artificial intelligence
RDF
Clinical trials
Healthcare
ECG
Consensus
Domain adaptation
Segmentation
Graph signal processing
NLP Natural Language Processing
Distributed optimization
Convolutional neural network
Convergence analysis
Fluorescence microscopy
Cable-driven parallel robot
Alzheimer's disease
Convolutional Neural Networks
Computing methodologies
Embedded Systems
Neural networks
Federated Learning
Contrastive learning
Data augmentation
Persistent homology
Arguments
Web of Things
Convolutional neural networks
Explainable AI
Electrocardiogram
Semantic segmentation
Sparsity
Macroscopic traffic flow models
Topological Data Analysis
Extreme value theory
Artificial Intelligence
Anomaly detection
COVID-19
Atrial fibrillation
Hyperbolic systems of conservation laws
Autoencoder
Image segmentation
Brain-inspired computing
Dense labeling
Echocardiography
Medical imaging
Change point detection
Autonomous vehicles
Electrophysiology
Spiking Neural Networks
Isomanifolds
Information Extraction
Graph neural networks
Ontology Learning
OPAL-Meso
Hyperspectral data
Linked data
Geometric graphs
Multi-Agent Systems
Uncertainty
Apprentissage profond
CNN
Diffusion strategy
Biomarkers
MRI
Electronic medical record
Dimensionality reduction
Diffusion MRI
Correlation matrices
Semantic web
Differential privacy