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

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

698

Notices

308

Statistics by Discipline

Keywords

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