Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. SimTA++: Simple attention neural network for clinical asynchronous time series
 
research article

SimTA++: Simple attention neural network for clinical asynchronous time series

Li, Zhihao
•
Li, Jingyu
•
Kuang, Kaiming
Show more
November 2025
Neural Networks
  • Details
  • Metrics
Type
research article
DOI
10.1016/j.neunet.2025.107735
Author(s)
Li, Zhihao

Wuhan University

Li, Jingyu

Wuhan University

Kuang, Kaiming

University of California, San Diego

Jing, Baoyu

University of Illinois Urbana-Champaign

Du, Bo

Wuhan University

Liao, Fei

Wuhan University

Yang, Jiancheng  

École Polytechnique Fédérale de Lausanne

Date Issued

2025-11

Publisher

Elsevier BV

Published in
Neural Networks
Volume

191

Article Number

107735

Start page

107735

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CVLAB  
Available on Infoscience
July 1, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/251784
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés