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