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




Statistics by Discipline


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