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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
645
Notices
300
Statistiques par discipline
Mots clés
Physics-based learning
Hyperbolic systems of conservation laws
Computing methodologies
Event cameras
Optimization
Crossings
COVID-19
Multiple Sclerosis
Persistent homology
Cable-driven parallel robot
MRI
Semantic Web
Sparsity
Image segmentation
Spiking Neural Networks
Simulations
Artificial Intelligence
Linked Data
Fluorescence microscopy
Linked data
Dense labeling
Information Extraction
Dimensionality reduction
Convergence analysis
Hyperspectral data
53B20
Diffusion strategy
Embedded Systems
Electronic medical record
Excursion sets
Isomanifolds
Consensus
Topological Data Analysis
Extracellular matrix
Coxeter triangulation
Atrial fibrillation
Medical imaging
Convolutional neural networks
Electrophysiology
Knowledge graph
Arguments
Explainable AI
Argument Mining
Unsupervised learning
Diffusion MRI
Deep Learning
Differential privacy
Machine learning
Visualization
Healthcare
Image fusion
Clustering
Convolutional neural network
Data augmentation
Electrocardiogram
Predictive model
Federated Learning
Brain-inspired computing
Atrial Fibrillation
Uncertainty
OPAL-Meso
Convolutional Neural Networks
Apprentissage profond
Co-clustering
Alzheimer's disease
Anomaly detection
Spiking neural networks
FPGA
SPARQL
Segmentation
Web of Things
CNN
Semantic segmentation
Autonomous vehicles
Extreme value theory
Autoencoder
Clinical trials
Graph neural networks
Neural networks
Echocardiography
Contrastive learning
Biomarkers
Computer vision
Semantic web
Artificial intelligence
Distributed optimization
Deep learning
Super-resolution
Macroscopic traffic flow models
Multi-Agent Systems
Domain adaptation
Binary image
Computational Topology
NLP Natural Language Processing
Privacy
Knowledge graphs
Latent block model
Grammatical Evolution
RDF
Ontology Learning