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