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