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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
648
Notices
301
Statistiques par discipline
Mots clés
Apprentissage profond
Event cameras
Diffusion MRI
Explainable AI
Unsupervised learning
Web of Things
Physics-based learning
CNN
Privacy
Arguments
Atrial fibrillation
Extreme value theory
Uncertainty
Fibronectin
Computational Topology
Anomaly detection
Multiple Sclerosis
NLP Natural Language Processing
Dimensionality reduction
Information Extraction
Cable-driven parallel robot
Deep Learning
Autoencoder
Coxeter triangulation
Dense labeling
Computer vision
Healthcare
Contrastive learning
Grammatical Evolution
Convergence analysis
Super-resolution
Sparsity
Optimization
Diffusion strategy
Persistent homology
FPGA
Excursion sets
Fluorescence microscopy
Semantic web
Artificial intelligence
Electronic medical record
Embedded Systems
Distributed optimization
Linked data
Convolutional neural networks
Hyperbolic systems of conservation laws
RDF
Extracellular matrix
Convolutional neural network
Brain-inspired computing
Machine learning
Visualization
Spiking Neural Networks
Knowledge graphs
Predictive model
Atrial Fibrillation
Domain adaptation
Image segmentation
Federated Learning
Clustering
Latent block model
Artificial Intelligence
Multi-Agent Systems
Macroscopic traffic flow models
Hyperspectral data
Consensus
Computing methodologies
Electrophysiology
Convolutional Neural Networks
SPARQL
Clinical trials
Alzheimer's disease
COVID-19
Echocardiography
53B20
Argument Mining
Ontology Learning
Simulations
Spiking neural networks
Electrocardiogram
OPAL-Meso
Graph neural networks
Federated learning
Co-clustering
Data augmentation
MRI
Image fusion
Linked Data
Differential privacy
Segmentation
Deep learning
Biomarkers
Neural networks
Knowledge graph
Autonomous vehicles
Medical imaging
Semantic Web
Isomanifolds
Topological Data Analysis
Semantic segmentation