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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
641
Notices
299
Statistiques par discipline
Mots clés
Echocardiography
Web of Things
Computer vision
Image segmentation
FPGA
Federated Learning
Semantic segmentation
Electrophysiology
Deep Learning
Autoencoder
Explainable AI
Cable-driven parallel robot
Extreme value theory
Computing methodologies
Argument Mining
Healthcare
CNN
Extracellular matrix
Diffusion MRI
Differential privacy
Grammatical Evolution
Medical imaging
Persistent homology
Convergence analysis
Domain adaptation
Consensus
Dimensionality reduction
Convolutional Neural Networks
Hyperbolic systems of conservation laws
Ontology Learning
Simulations
Clustering
Knowledge graph
Clinical trials
Knowledge graphs
Excursion sets
Fluorescence microscopy
Latent block model
Brain-inspired computing
Image fusion
Spiking Neural Networks
Topological Data Analysis
Deep learning
Hyperspectral data
53B20
Diffusion strategy
Multiple Sclerosis
Federated learning
Coxeter triangulation
Sparsity
Linked Data
Isomanifolds
Convolutional neural networks
Unsupervised learning
Macroscopic traffic flow models
Artificial intelligence
Arguments
Atrial Fibrillation
Distributed optimization
Predictive model
Event cameras
Neural networks
Information Extraction
Apprentissage profond
Graph neural networks
Super-resolution
Computational Topology
Convolutional neural network
Alzheimer's disease
Physics-based learning
Anomaly detection
Optimization
COVID-19
Embedded Systems
OPAL-Meso
Spiking neural networks
Multi-Agent Systems
Crossings
Electronic medical record
Contrastive learning
Dense labeling
Binary image
Semantic Web
Machine learning
Co-clustering
Semantic web
Autonomous vehicles
Segmentation
Electrocardiogram
Atrial fibrillation
Linked data
Biomarkers
Privacy
Visualization
Uncertainty
Artificial Intelligence
MRI
NLP Natural Language Processing
RDF
Data augmentation