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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.
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Documents en texte intégral
667
Notices
304
Statistiques par discipline
Mots clés
Autonomous vehicles
Convolutional neural networks
Multiple Sclerosis
Graph neural networks
COVID-19
Uncertainty
NLP Natural Language Processing
Information Extraction
MRI
Anomaly detection
Arguments
Embedded Systems
Extreme value theory
Macroscopic traffic flow models
Autoencoder
Coxeter triangulation
RDF
Predictive model
Diffusion MRI
Optimization
Visualization
Biomarkers
Electrophysiology
Computational Topology
Artificial Intelligence
Knowledge graphs
Alzheimer's disease
Computing methodologies
Image segmentation
Federated Learning
SPARQL
Dimensionality reduction
Neural networks
Deep Learning
Web of Things
Fibronectin
Machine learning
Hyperspectral data
Persistent homology
Spiking Neural Networks
Electrocardiogram
CNN
Clustering
Multi-Agent Systems
Knowledge graph
Linked data
Deep learning
Fluorescence microscopy
Sparsity
Computer vision
Electronic medical record
Linked Data
Convergence analysis
Atrial fibrillation
Latent block model
Data augmentation
Extracellular matrix
OPAL-Meso
Brain-inspired computing
Echocardiography
Co-clustering
Contrastive learning
Change point detection
53B20
Consensus
Spiking neural networks
Semantic segmentation
Grammatical Evolution
Argument Mining
Hyperbolic systems of conservation laws
Graph signal processing
Healthcare
Domain adaptation
Super-resolution
Excursion sets
Topological Data Analysis
Convolutional neural network
Semantic web
Ontology Learning
Privacy
Image fusion
Explainable AI
Apprentissage profond
Artificial intelligence
Differential privacy
Distributed optimization
Semantic Web
Clinical trials
Federated learning
FPGA
Convolutional Neural Networks
Isomanifolds
Event cameras
Segmentation
Dense labeling
Atrial Fibrillation
Unsupervised learning
Cable-driven parallel robot
Diffusion strategy
Medical imaging