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