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3IA Côte d'Azur - Interdisciplinary Institute for Artificial Intelligence
3IA Côte d'Azur is one of the four "Interdisciplinary Institutes for Artificial Intelligence" that were created in France in 2019. Its ambition is to create an innovative ecosystem that is influential at the local, national and international level. The 3IA Côte d'Azur institute is led by Université Côte d'Azur in partnership with major higher education and research partners in the region of Nice and Sophia Antipolis: CNRS, Inria, INSERM, EURECOM, and SKEMA Business School. The 3IA Côte d'Azur institute is also supported by ECA, Nice University Hospital Center (CHU Nice), CSTB, CNES, Data ScienceTech Institute and INRAE. The project has also secured the support of more than 62 companies and start-ups.
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Keywords
SHACL
Sparsity
CNN
Super-resolution
Privacy
Hyperbolic systems of conservation laws
Federated learning
Isomanifolds
Artificial intelligence
Graph signal processing
OPAL-Meso
Convolutional Neural Networks
COVID-19
Atrial fibrillation
Federated Learning
Change point detection
Predictive model
Extracellular matrix
FDG PET
Persistent homology
Linked data
Argument Mining
Caching
Healthcare
Convolutional neural networks
Clustering
Argument mining
Computer vision
Spiking neural networks
Machine learning
NLP Natural Language Processing
Chernoff information
Uncertainty
Geometric graphs
Apprentissage profond
Topological Data Analysis
SPARQL
Adversarial classification
Unsupervised learning
Coxeter triangulation
Atrial Fibrillation
Domain adaptation
53B20
Semantic web
Ontology Learning
Autonomous vehicles
Contrastive learning
Image segmentation
Linked Data
Arguments
Optimization
Graph neural networks
Dense labeling
Co-clustering
Excursion sets
Macroscopic traffic flow models
Consensus
RDF
Visualization
Neural networks
Deep Learning
Hyperspectral data
Alzheimer's disease
Explainable AI
Echocardiography
Cable-driven parallel robot
Anomaly detection
Autoencoder
Latent block model
Medical imaging
Extreme value theory
Spiking Neural Networks
Image fusion
Information Extraction
Convergence analysis
Grammatical Evolution
Multi-Agent Systems
Distributed optimization
Brain-inspired computing
Fluorescence microscopy
NLP
Knowledge graph
Deep learning
Electrocardiogram
Clinical trials
Electrophysiology
Biomarkers
FPGA
Machine Learning
Segmentation
Semantic Web
MRI
Semantic segmentation
Diffusion strategy
Computational Topology
Computing methodologies
Web of Things
Knowledge graphs
Diffusion MRI
Artificial Intelligence