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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
646
Notices
300
Statistiques par discipline
Mots clés
Domain adaptation
Electronic medical record
Artificial Intelligence
Computing methodologies
Fluorescence microscopy
Computer vision
Biomarkers
Linked Data
CNN
Hyperspectral data
Alzheimer's disease
COVID-19
Simulations
Semantic web
Image segmentation
Semantic segmentation
Clinical trials
Embedded Systems
Convergence analysis
Autonomous vehicles
Optimization
Distributed optimization
Unsupervised learning
Convolutional neural networks
Consensus
Contrastive learning
Echocardiography
Brain-inspired computing
Uncertainty
Convolutional Neural Networks
Semantic Web
Diffusion MRI
Segmentation
Apprentissage profond
Visualization
MRI
Atrial Fibrillation
Multi-Agent Systems
Multiple Sclerosis
Topological Data Analysis
Medical imaging
Healthcare
Knowledge graphs
Computational Topology
Convolutional neural network
Super-resolution
Cable-driven parallel robot
Spiking neural networks
Image fusion
Electrocardiogram
Binary image
NLP Natural Language Processing
Dimensionality reduction
Grammatical Evolution
Federated Learning
Latent block model
Differential privacy
Predictive model
Extracellular matrix
Data augmentation
Linked data
Graph neural networks
Ontology Learning
Crossings
Autoencoder
RDF
Isomanifolds
Excursion sets
SPARQL
Dense labeling
Persistent homology
Clustering
Artificial intelligence
Neural networks
Electrophysiology
Sparsity
Coxeter triangulation
Atrial fibrillation
Hyperbolic systems of conservation laws
Privacy
Anomaly detection
Macroscopic traffic flow models
Explainable AI
Web of Things
Information Extraction
Machine learning
Deep learning
Diffusion strategy
Event cameras
Argument Mining
Knowledge graph
FPGA
Arguments
OPAL-Meso
Extreme value theory
53B20
Physics-based learning
Spiking Neural Networks
Co-clustering
Deep Learning