Loading...
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.
Last Deposits

Documents in Full Text
757
Notices
330
Statistics by Discipline
Keywords
RDF
Convolutional Neural Networks
Coxeter triangulation
Domain adaptation
CNN
Image fusion
Co-clustering
Electrocardiogram
Semantic segmentation
Artificial intelligence
Diffusion MRI
Federated learning
Argument Mining
Machine learning
Semantic Web
Linked data
NLP Natural Language Processing
NLP
Privacy
Extracellular matrix
Computing methodologies
Deep learning
Convolutional neural network
Chernoff information
Change point detection
Clinical trials
FPGA
Alzheimer's disease
Ontology Learning
Autonomous vehicles
Spiking Neural Networks
Distributed optimization
Correlation matrices
Echocardiography
SPARQL
Explainable AI
Uncertainty
Semantic web
Healthcare
FDG PET
Federated Learning
Medical imaging
Latent block model
Predictive model
Excursion sets
Atrial Fibrillation
Arguments
Biomarkers
Caching
Graph neural networks
Deep Learning
Convergence analysis
Diffusion strategy
Spiking neural networks
Consensus
Knowledge graph
Electrophysiology
Hyperspectral data
Isomanifolds
Segmentation
Anomaly detection
Topological Data Analysis
Computational Topology
Grammatical Evolution
Contrastive learning
Persistent homology
Artificial Intelligence
Neural networks
Clustering
Multi-Agent Systems
Web of Things
Dense labeling
Cable-driven parallel robot
Hyperbolic systems of conservation laws
Brain-inspired computing
Macroscopic traffic flow models
53B20
OPAL-Meso
Super-resolution
Computer vision
Linked Data
COVID-19
Graph signal processing
Apprentissage profond
Visualization
Information Extraction
Autoencoder
Sparsity
Unsupervised learning
Image segmentation
Fluorescence microscopy
Geometric graphs
SHACL
Extreme value theory
Convolutional neural networks
Optimization
Knowledge graphs
Argument mining
Atrial fibrillation
Adversarial classification