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Modelling Segmented Cardiotocography Time-Series Signals Using
  One-Dimensional Convolutional Neural Networks for the Early Detection of
  Abnormal Birth Outcomes
v1v2 (latest)

Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes

6 August 2019
Paul Fergus
C. Chalmers
C. C. Montañez
Denis Reilly
Paulo J. G. Lisboa
B. Pineles
ArXiv (abs)PDFHTML

Papers citing "Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes"

1 / 1 papers shown
Title
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture
  with Global Atrous Sliding Window
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window
Yuanpeng He
AI4TS
73
0
0
31 Jan 2023
1