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