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