index - 3IA Côte d’Azur – Interdisciplinary Institute for Artificial Intelligence Access content directly

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

Chargement de la page

Documents in Full Text

667

Notices

304

Statistics by Discipline

Keywords

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