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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
642
Notices
299
Statistiques par discipline
Mots clés
Image fusion
Atrial Fibrillation
Diffusion strategy
Dimensionality reduction
Deep learning
Knowledge graphs
Topological Data Analysis
Cable-driven parallel robot
Biomarkers
Autoencoder
Argument Mining
Federated learning
53B20
NLP Natural Language Processing
Spiking neural networks
Hyperspectral data
OPAL-Meso
Linked data
Semantic web
Explainable AI
Visualization
Electrocardiogram
Differential privacy
Graph neural networks
Excursion sets
Multiple Sclerosis
Neural networks
Convolutional neural network
Alzheimer's disease
Computing methodologies
Event cameras
Segmentation
Isomanifolds
Latent block model
Deep Learning
Arguments
Simulations
Healthcare
Autonomous vehicles
Linked Data
Ontology Learning
Persistent homology
Convergence analysis
Electronic medical record
Contrastive learning
Semantic segmentation
COVID-19
Distributed optimization
Crossings
Sparsity
Computer vision
Image segmentation
Embedded Systems
Consensus
Convolutional Neural Networks
Extreme value theory
Knowledge graph
Anomaly detection
CNN
Grammatical Evolution
Electrophysiology
Extracellular matrix
Hyperbolic systems of conservation laws
Brain-inspired computing
Federated Learning
Dense labeling
Medical imaging
Information Extraction
Computational Topology
Predictive model
Multi-Agent Systems
RDF
Uncertainty
Fluorescence microscopy
FPGA
Diffusion MRI
Co-clustering
Artificial Intelligence
Spiking Neural Networks
Echocardiography
Artificial intelligence
Semantic Web
Physics-based learning
Binary image
Convolutional neural networks
Clinical trials
Unsupervised learning
Machine learning
MRI
Web of Things
Coxeter triangulation
Domain adaptation
Privacy
Super-resolution
Optimization
Atrial fibrillation
Clustering
Macroscopic traffic flow models
Data augmentation
Apprentissage profond