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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
649
Notices
301
Statistiques par discipline
Mots clés
Sparsity
Predictive model
Semantic web
Data augmentation
NLP Natural Language Processing
Domain adaptation
Spiking neural networks
Atrial Fibrillation
Web of Things
Dense labeling
Contrastive learning
Knowledge graphs
Distributed optimization
Consensus
Anomaly detection
Computing methodologies
RDF
Convolutional neural networks
Multiple Sclerosis
Artificial intelligence
Embedded Systems
Explainable AI
Apprentissage profond
FPGA
Fluorescence microscopy
Atrial fibrillation
Image fusion
Persistent homology
Diffusion strategy
Dimensionality reduction
Federated Learning
Computational Topology
Simulations
Physics-based learning
Information Extraction
Fibronectin
Artificial Intelligence
Differential privacy
Convolutional Neural Networks
53B20
Event cameras
COVID-19
Visualization
Diffusion MRI
Medical imaging
Optimization
Grammatical Evolution
Convolutional neural network
Arguments
Deep learning
Argument Mining
Extracellular matrix
Autonomous vehicles
Knowledge graph
Topological Data Analysis
Cable-driven parallel robot
MRI
Clinical trials
Autoencoder
Semantic segmentation
Latent block model
Linked Data
Electronic medical record
Co-clustering
Coxeter triangulation
Excursion sets
Multi-Agent Systems
Uncertainty
Image segmentation
CNN
Machine learning
Ontology Learning
Hyperbolic systems of conservation laws
Segmentation
Graph neural networks
Federated learning
Linked data
Biomarkers
Alzheimer's disease
Macroscopic traffic flow models
Neural networks
Convergence analysis
Isomanifolds
Semantic Web
Extreme value theory
Brain-inspired computing
Deep Learning
Super-resolution
OPAL-Meso
Clustering
Computer vision
Healthcare
Spiking Neural Networks
Hyperspectral data
Unsupervised learning
SPARQL
Privacy
Electrophysiology
Electrocardiogram
Echocardiography