Loading...
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
652
Notices
301
Statistiques par discipline
Mots clés
Machine learning
Artificial intelligence
Physics-based learning
Segmentation
Event cameras
Spiking neural networks
Co-clustering
Clinical trials
Distributed optimization
Spiking Neural Networks
Excursion sets
Multiple Sclerosis
Convolutional neural networks
Electrophysiology
NLP Natural Language Processing
CNN
Anomaly detection
Fluorescence microscopy
Computer vision
Semantic web
Autonomous vehicles
FPGA
Diffusion MRI
Coxeter triangulation
Deep Learning
Convergence analysis
Grammatical Evolution
Hyperspectral data
Extreme value theory
Linked Data
Visualization
Semantic Web
Convolutional Neural Networks
Atrial fibrillation
Sparsity
Information Extraction
Privacy
Atrial Fibrillation
Brain-inspired computing
Fibronectin
OPAL-Meso
Federated Learning
Federated learning
Computing methodologies
Super-resolution
Graph neural networks
Apprentissage profond
Unsupervised learning
Web of Things
Linked data
Simulations
Explainable AI
Persistent homology
Knowledge graph
Argument Mining
Uncertainty
Clustering
Knowledge graphs
Domain adaptation
Convolutional neural network
MRI
Cable-driven parallel robot
Healthcare
Differential privacy
Image segmentation
Diffusion strategy
Computational Topology
Data augmentation
53B20
Dimensionality reduction
Optimization
Contrastive learning
Artificial Intelligence
Embedded Systems
Extracellular matrix
Deep learning
Multi-Agent Systems
Medical imaging
Predictive model
Image fusion
Electronic medical record
Arguments
Biomarkers
Macroscopic traffic flow models
Consensus
COVID-19
Dense labeling
Latent block model
SPARQL
Alzheimer's disease
Neural networks
Electrocardiogram
RDF
Isomanifolds
Autoencoder
Topological Data Analysis
Hyperbolic systems of conservation laws
Semantic segmentation
Ontology Learning
Echocardiography