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