ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.12802
  4. Cited By
Developing Personalized Models of Blood Pressure Estimation from
  Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural
  Networks

Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks

24 July 2020
Lida Zhang
N. Hurley
Bassem Ibrahim
E. Spatz
H. Krumholz
R. Jafari
B. Mortazavi
    AAML
    OOD
ArXivPDFHTML

Papers citing "Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks"

2 / 2 papers shown
Title
Assessment of deep learning based blood pressure prediction from PPG and
  rPPG signals
Assessment of deep learning based blood pressure prediction from PPG and rPPG signals
Fabian Schrumpf
P. Frenzel
Christoph Aust
G. Osterhoff
M. Fuchs
22
38
0
15 Apr 2021
Word Translation Without Parallel Data
Word Translation Without Parallel Data
Alexis Conneau
Guillaume Lample
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
174
1,635
0
11 Oct 2017
1