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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
642
Notices
299
Statistiques par discipline
Mots clés
NLP Natural Language Processing
COVID-19
Excursion sets
Multi-Agent Systems
Predictive model
OPAL-Meso
Physics-based learning
Alzheimer's disease
Persistent homology
Web of Things
Electrophysiology
Computer vision
Extreme value theory
Consensus
Semantic web
Arguments
Computing methodologies
Convolutional neural networks
Explainable AI
Image fusion
Deep learning
Image segmentation
Healthcare
Macroscopic traffic flow models
Deep Learning
Computational Topology
Cable-driven parallel robot
Electronic medical record
Domain adaptation
Optimization
Segmentation
Federated Learning
Uncertainty
Machine learning
Simulations
Visualization
Differential privacy
Echocardiography
Distributed optimization
Electrocardiogram
MRI
Apprentissage profond
Latent block model
Privacy
Co-clustering
Convolutional Neural Networks
Embedded Systems
Autonomous vehicles
Graph neural networks
Atrial Fibrillation
Artificial Intelligence
Convergence analysis
Argument Mining
Crossings
Convolutional neural network
RDF
Atrial fibrillation
Autoencoder
Super-resolution
Neural networks
Knowledge graphs
Fluorescence microscopy
53B20
Coxeter triangulation
Binary image
Clustering
Anomaly detection
Unsupervised learning
Multiple Sclerosis
Medical imaging
Dimensionality reduction
Spiking Neural Networks
Artificial intelligence
Sparsity
Linked data
Hyperspectral data
Semantic Web
Semantic segmentation
Contrastive learning
Linked Data
Dense labeling
CNN
Data augmentation
Brain-inspired computing
Biomarkers
Spiking neural networks
Federated learning
Extracellular matrix
Hyperbolic systems of conservation laws
Clinical trials
Event cameras
Topological Data Analysis
Knowledge graph
Ontology Learning
Grammatical Evolution
Information Extraction
FPGA
Isomanifolds
Diffusion strategy
Diffusion MRI