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