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