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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
646
Notices
300
Statistiques par discipline
Mots clés
Differential privacy
Autonomous vehicles
SPARQL
Spiking neural networks
Macroscopic traffic flow models
Artificial Intelligence
Multiple Sclerosis
CNN
MRI
Electronic medical record
Physics-based learning
Atrial Fibrillation
Distributed optimization
Latent block model
Spiking Neural Networks
Multi-Agent Systems
Computing methodologies
Binary image
Grammatical Evolution
FPGA
Image segmentation
Argument Mining
Deep learning
Topological Data Analysis
Hyperbolic systems of conservation laws
Convolutional Neural Networks
Semantic Web
Persistent homology
Biomarkers
Isomanifolds
Artificial intelligence
Echocardiography
Extracellular matrix
Visualization
Alzheimer's disease
Electrophysiology
Consensus
Federated Learning
Graph neural networks
Arguments
Ontology Learning
Semantic web
Crossings
Optimization
OPAL-Meso
Electrocardiogram
Simulations
53B20
Web of Things
Computer vision
Predictive model
Autoencoder
Anomaly detection
Computational Topology
Unsupervised learning
Linked Data
Clinical trials
Convolutional neural network
Coxeter triangulation
Excursion sets
Knowledge graph
Hyperspectral data
NLP Natural Language Processing
Convolutional neural networks
Domain adaptation
Atrial fibrillation
Event cameras
Semantic segmentation
Dimensionality reduction
Dense labeling
Linked data
Cable-driven parallel robot
Diffusion MRI
Data augmentation
Clustering
COVID-19
Extreme value theory
Super-resolution
Sparsity
Deep Learning
Privacy
Medical imaging
RDF
Contrastive learning
Co-clustering
Machine learning
Embedded Systems
Convergence analysis
Information Extraction
Diffusion strategy
Explainable AI
Brain-inspired computing
Neural networks
Image fusion
Segmentation
Healthcare
Uncertainty
Knowledge graphs
Fluorescence microscopy
Apprentissage profond