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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
641
Notices
299
Statistiques par discipline
Mots clés
Clinical trials
Topological Data Analysis
Argument Mining
Differential privacy
Knowledge graph
Binary image
Persistent homology
Embedded Systems
Semantic segmentation
Echocardiography
Image fusion
OPAL-Meso
Electrophysiology
Alzheimer's disease
Grammatical Evolution
Super-resolution
Dense labeling
MRI
Deep Learning
Diffusion strategy
Macroscopic traffic flow models
Computing methodologies
Ontology Learning
Spiking neural networks
Federated Learning
Semantic web
Consensus
Segmentation
COVID-19
Diffusion MRI
Event cameras
Computer vision
Hyperspectral data
Neural networks
Extreme value theory
Privacy
Spiking Neural Networks
Crossings
Clustering
Contrastive learning
Excursion sets
Multiple Sclerosis
Apprentissage profond
Simulations
Atrial Fibrillation
Autoencoder
Dimensionality reduction
Physics-based learning
Data augmentation
Brain-inspired computing
53B20
Linked Data
Convolutional Neural Networks
Atrial fibrillation
Machine learning
Biomarkers
Information Extraction
Anomaly detection
Electrocardiogram
Electronic medical record
Computational Topology
Arguments
Hyperbolic systems of conservation laws
Federated learning
Latent block model
Web of Things
Graph neural networks
Extracellular matrix
Co-clustering
Distributed optimization
Image segmentation
Cable-driven parallel robot
Uncertainty
Healthcare
Deep learning
Artificial intelligence
Knowledge graphs
Domain adaptation
Linked data
Autonomous vehicles
Visualization
Multi-Agent Systems
Convolutional neural network
CNN
Coxeter triangulation
Artificial Intelligence
Semantic Web
RDF
Fluorescence microscopy
Optimization
Medical imaging
Explainable AI
Isomanifolds
Sparsity
Convolutional neural networks
Predictive model
Convergence analysis
FPGA
NLP Natural Language Processing
Unsupervised learning