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