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Focusing on What is Relevant: Time-Series Learning and Understanding
  using Attention

Focusing on What is Relevant: Time-Series Learning and Understanding using Attention

22 June 2018
Phongtharin Vinayavekhin
Subhajit Chaudhury
Asim Munawar
Don Joven Agravante
Giovanni De Magistris
Daiki Kimura
Ryuki Tachibana
    AI4TS
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Papers citing "Focusing on What is Relevant: Time-Series Learning and Understanding using Attention"

2 / 2 papers shown
Title
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Thomas Rojat
Raphael Puget
David Filliat
Javier Del Ser
R. Gelin
Natalia Díaz Rodríguez
XAI
AI4TS
44
128
0
02 Apr 2021
Medical Time Series Classification with Hierarchical Attention-based
  Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
Lei Lin
Beilei Xu
Wencheng Wu
Trevor W. Richardson
Edgar A. Bernal
28
28
0
28 Mar 2019
1