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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
652
Notices
301
Statistiques par discipline
Mots clés
Artificial intelligence
Optimization
Convergence analysis
Fibronectin
Federated Learning
Convolutional neural networks
Segmentation
Computational Topology
Computer vision
Brain-inspired computing
Consensus
Semantic segmentation
Hyperspectral data
Anomaly detection
Macroscopic traffic flow models
Explainable AI
Computing methodologies
Clustering
SPARQL
Persistent homology
Convolutional Neural Networks
NLP Natural Language Processing
Apprentissage profond
FPGA
Contrastive learning
Multi-Agent Systems
Grammatical Evolution
Electronic medical record
Image fusion
Image segmentation
Excursion sets
Linked data
Predictive model
Co-clustering
Autoencoder
Semantic web
Domain adaptation
Medical imaging
Electrocardiogram
Ontology Learning
Fluorescence microscopy
Sparsity
Convolutional neural network
Dimensionality reduction
Spiking neural networks
Unsupervised learning
Healthcare
Extreme value theory
Dense labeling
OPAL-Meso
Atrial fibrillation
Echocardiography
Cable-driven parallel robot
Graph neural networks
CNN
Isomanifolds
Hyperbolic systems of conservation laws
Deep Learning
Linked Data
Latent block model
Arguments
Knowledge graph
53B20
Event cameras
Coxeter triangulation
Embedded Systems
Super-resolution
Argument Mining
Biomarkers
Atrial Fibrillation
RDF
Physics-based learning
COVID-19
Alzheimer's disease
Privacy
Visualization
Diffusion strategy
Deep learning
Multiple Sclerosis
Neural networks
Autonomous vehicles
Distributed optimization
Differential privacy
Diffusion MRI
Knowledge graphs
Artificial Intelligence
Semantic Web
Electrophysiology
Clinical trials
Machine learning
Information Extraction
Data augmentation
Topological Data Analysis
Uncertainty
Extracellular matrix
Simulations
Federated learning
Spiking Neural Networks
Web of Things
MRI