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
756
Notices
330
Statistics by Discipline
Keywords
RDF
Artificial Intelligence
Computer vision
Medical imaging
Electrocardiogram
Semantic web
Argument mining
Autonomous vehicles
Geometric graphs
Chernoff information
Semantic Web
Sparsity
Domain adaptation
Optimization
Ontology Learning
Extreme value theory
Persistent homology
Topological Data Analysis
Graph neural networks
Uncertainty
Adversarial classification
SPARQL
Hyperbolic systems of conservation laws
Semantic segmentation
Clinical trials
Macroscopic traffic flow models
Isomanifolds
Argument Mining
Information Extraction
Echocardiography
Convolutional neural networks
Computational Topology
Knowledge graph
Machine learning
Knowledge graphs
Super-resolution
Web of Things
CNN
Biomarkers
Deep Learning
Fluorescence microscopy
Privacy
Consensus
Autoencoder
Diffusion strategy
Artificial intelligence
Cable-driven parallel robot
Linked data
Atrial Fibrillation
Clustering
Atrial fibrillation
Correlation matrices
Federated Learning
Dense labeling
Image fusion
53B20
Spiking neural networks
COVID-19
Alzheimer's disease
Contrastive learning
OPAL-Meso
Visualization
Distributed optimization
Change point detection
Convolutional Neural Networks
Coxeter triangulation
Grammatical Evolution
Graph signal processing
Convolutional neural network
NLP
Multi-Agent Systems
Image segmentation
Segmentation
Extracellular matrix
Federated learning
Anomaly detection
Electrophysiology
FPGA
Linked Data
Co-clustering
Hyperspectral data
SHACL
Explainable AI
Neural networks
Deep learning
Brain-inspired computing
Convergence analysis
Apprentissage profond
Predictive model
Latent block model
Spiking Neural Networks
Diffusion MRI
Caching
FDG PET
Unsupervised learning
Computing methodologies
NLP Natural Language Processing
Arguments
Excursion sets
Healthcare