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
746
Notices
331
Statistics by Discipline
Keywords
Optimization
Clustering
Chernoff information
Web of Things
Federated Learning
Biomarkers
Privacy
Extracellular matrix
Topological Data Analysis
Hyperspectral data
Consensus
Co-clustering
Excursion sets
Argument Mining
Cable-driven parallel robot
Diffusion MRI
Convolutional Neural Networks
Brain-inspired computing
RDF
Electrophysiology
MRI
Sparsity
Spiking Neural Networks
Super-resolution
NLP Natural Language Processing
Artificial intelligence
Arguments
Neural networks
Adversarial classification
NLP
Convolutional neural network
Fluorescence microscopy
Predictive model
FPGA
Atrial Fibrillation
Dense labeling
Domain adaptation
Semantic web
CNN
Graph signal processing
Artificial Intelligence
Convolutional neural networks
FDG PET
Atrial fibrillation
Persistent homology
Computational Topology
Autoencoder
Computer vision
OPAL-Meso
Image fusion
Echocardiography
Deep learning
Graph neural networks
Visualization
Knowledge graph
Image segmentation
Spiking neural networks
Medical imaging
Apprentissage profond
SPARQL
Grammatical Evolution
Coxeter triangulation
53B20
Hyperbolic systems of conservation laws
Computing methodologies
Healthcare
Clinical trials
Explainable AI
Geometric graphs
Unsupervised learning
Electrocardiogram
Autonomous vehicles
Extreme value theory
Caching
Contrastive learning
Federated learning
Diffusion strategy
Macroscopic traffic flow models
Argument mining
Anomaly detection
Deep Learning
Uncertainty
Semantic segmentation
SHACL
Semantic Web
Isomanifolds
Ontology Learning
Distributed optimization
Change point detection
COVID-19
Segmentation
Linked data
Convergence analysis
Linked Data
Multi-Agent Systems
Information Extraction
Knowledge graphs
Machine learning
Latent block model
Alzheimer's disease