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

Chargement de la page



Statistics by Discipline

Chargement de la page


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