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

645

Notices

300

Statistics by Discipline

Keywords

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