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