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3IA Côte d'Azur - Interdisciplinary Institute for Artificial Intelligence
3IA Côte d'Azur est l'un des quatre "Instituts interdisciplinaires d'intelligence artificielle" créés en France en 2019. Son ambition est de créer un écosystème innovant et influent au niveau local, national et international. L'institut 3IA Côte d'Azur est piloté par Université Côte d'Azur en partenariat avec les grands partenaires de l'enseignement supérieur et de la recherche de la région niçoise et de Sophia Antipolis : CNRS, Inria, INSERM, EURECOM, SKEMA Business School. L'institut 3IA Côte d'Azur est également soutenu par l'ECA, le CHU de Nice, le CSTB, le CNES, l'Institut Data ScienceTech et l'INRAE. Le projet a également obtenu le soutien de plus de 62 entreprises et start-ups.
Derniers dépôts
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Iker García-Ferrero, Rodrigo Agerri, Aitziber Atutxa, Elena Cabrio, Iker de la Iglesia, et al.. Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain. LREC-COLING 2024 - 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, May 2024, TORINO, Italy. ⟨hal-04603270⟩
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Yingyu Yang, Marie Rocher, Pamela Moceri, Maxime Sermesant. Explainable Electrocardiogram Analysis with Wave Decomposition: Application to Myocardial Infarction Detection. STACOM 2022 - 13th workshop on Statistical Atlases and Computational Models of the Heart, Sep 2022, Singapore, Singapore. ⟨hal-03888791v2⟩
Documents en texte intégral
652
Notices
301
Statistiques par discipline
Mots clés
Spiking neural networks
Hyperbolic systems of conservation laws
Convergence analysis
Electrophysiology
Dimensionality reduction
Clinical trials
Ontology Learning
Healthcare
Biomarkers
Extreme value theory
Multiple Sclerosis
Electrocardiogram
Extracellular matrix
Image segmentation
Sparsity
RDF
Cable-driven parallel robot
Web of Things
Semantic segmentation
Optimization
Distributed optimization
Event cameras
Atrial Fibrillation
Spiking Neural Networks
Apprentissage profond
Knowledge graph
COVID-19
Neural networks
Macroscopic traffic flow models
Hyperspectral data
Physics-based learning
Alzheimer's disease
Federated Learning
FPGA
Arguments
Linked data
Excursion sets
Latent block model
Convolutional neural network
Topological Data Analysis
Knowledge graphs
Uncertainty
Coxeter triangulation
Artificial Intelligence
Convolutional neural networks
Differential privacy
Graph neural networks
Clustering
Deep Learning
Embedded Systems
Semantic Web
NLP Natural Language Processing
Diffusion strategy
Fluorescence microscopy
CNN
Dense labeling
Domain adaptation
Isomanifolds
Data augmentation
Computational Topology
Convolutional Neural Networks
SPARQL
Argument Mining
Artificial intelligence
Computing methodologies
Linked Data
Diffusion MRI
Autoencoder
Federated learning
OPAL-Meso
Visualization
Super-resolution
Fibronectin
Autonomous vehicles
Unsupervised learning
Persistent homology
Contrastive learning
Simulations
MRI
Computer vision
Medical imaging
Information Extraction
Explainable AI
Echocardiography
Segmentation
Consensus
Machine learning
Brain-inspired computing
Co-clustering
Semantic web
Privacy
Image fusion
Atrial fibrillation
Multi-Agent Systems
53B20
Grammatical Evolution
Predictive model
Deep learning
Electronic medical record
Anomaly detection