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