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