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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
300
Statistiques par discipline
Mots clés
Simulations
Ontology Learning
Super-resolution
Electronic medical record
Event cameras
Clustering
Linked Data
Atrial Fibrillation
Co-clustering
Semantic web
Contrastive learning
Convolutional Neural Networks
Biomarkers
Optimization
Federated Learning
RDF
Spiking neural networks
Artificial intelligence
Distributed optimization
Convergence analysis
Differential privacy
MRI
Diffusion strategy
Multi-Agent Systems
Machine learning
Artificial Intelligence
Convolutional neural networks
Dimensionality reduction
Image fusion
Coxeter triangulation
Healthcare
Multiple Sclerosis
Neural networks
Fibronectin
Medical imaging
Electrocardiogram
Physics-based learning
Semantic Web
Dense labeling
OPAL-Meso
Data augmentation
Domain adaptation
Deep Learning
Consensus
Web of Things
Grammatical Evolution
Extreme value theory
53B20
Graph neural networks
Sparsity
Echocardiography
Federated learning
Knowledge graphs
Electrophysiology
Anomaly detection
COVID-19
Embedded Systems
Arguments
Argument Mining
Alzheimer's disease
Computational Topology
Hyperbolic systems of conservation laws
CNN
Autonomous vehicles
Image segmentation
Isomanifolds
Hyperspectral data
Fluorescence microscopy
Atrial fibrillation
Semantic segmentation
Predictive model
Segmentation
NLP Natural Language Processing
Extracellular matrix
Apprentissage profond
FPGA
Excursion sets
Cable-driven parallel robot
Brain-inspired computing
Computer vision
Uncertainty
Linked data
Spiking Neural Networks
Unsupervised learning
Diffusion MRI
Persistent homology
Knowledge graph
Latent block model
Privacy
Computing methodologies
Explainable AI
SPARQL
Autoencoder
Topological Data Analysis
Visualization
Deep learning
Macroscopic traffic flow models
Clinical trials
Convolutional neural network
Information Extraction