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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
677
Notices
303
Statistiques par discipline
Mots clés
Web of Things
RDF
Computer vision
Persistent homology
NLP Natural Language Processing
Ontology Learning
Domain adaptation
Anomaly detection
Computational Topology
Embedded Systems
Information Extraction
Electronic medical record
Fluorescence microscopy
Apprentissage profond
Computing methodologies
Autonomous vehicles
Arguments
Consensus
Graph neural networks
Clinical trials
Deep Learning
Differential privacy
Clustering
Change point detection
53B20
Sparsity
Geometric graphs
Latent block model
Hyperspectral data
Biomarkers
Alzheimer's disease
Isomanifolds
Semantic segmentation
MRI
Spiking Neural Networks
Dimensionality reduction
Machine learning
Semantic web
CNN
Atrial fibrillation
Grammatical Evolution
Multi-Agent Systems
Artificial Intelligence
Graph signal processing
Federated Learning
OPAL-Meso
Super-resolution
Convolutional neural networks
Image segmentation
Excursion sets
Linked data
Cable-driven parallel robot
Brain-inspired computing
Autoencoder
Coxeter triangulation
FPGA
Convolutional Neural Networks
Predictive model
Semantic Web
Dense labeling
Distributed optimization
Topological Data Analysis
Macroscopic traffic flow models
Artificial intelligence
Argument Mining
Event cameras
Hyperbolic systems of conservation laws
Medical imaging
Image fusion
Knowledge graph
Extreme value theory
Segmentation
Echocardiography
Multiple Sclerosis
Uncertainty
Electrocardiogram
Atrial Fibrillation
ECG
Neural networks
Convolutional neural network
Contrastive learning
Linked Data
Data augmentation
Visualization
Knowledge graphs
Co-clustering
Privacy
Healthcare
Spiking neural networks
Diffusion MRI
Unsupervised learning
Deep learning
Electrophysiology
SPARQL
COVID-19
Convergence analysis
Diffusion strategy
Optimization
Extracellular matrix
Explainable AI