Points2Shapelets: A Salience-Guided Shapelets Selection Approach to Time Series Classification-Reference-Cited by-同舟云学术

Points2Shapelets: A Salience-Guided Shapelets Selection Approach to Time Series Classification

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Feng Guanxi¹,Ma Chao²,Zhou Linjiang²,Wu Libing²,Zhang Jingsheng³,Shi Xiaochuan²

Affiliation:

1. Wuhan University,Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering

2. School of Cyber Science and Engineering, Wuhan University Wuhan,China

3. The Pennsylvania State University,Eberly College of Science,University Park,PA,USA

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892079.pdf?arnumber=9892079

Reference34 articles.

1. Fast and accurate template averaging for time series classification

2. Towards A Rigorous Evaluation Of XAI Methods On Time Series

3. Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

4. Salience-CAM: Visual Explanations from Convolutional Neural Networks via Salience Score

5. A Fast Shapelet Discovery Algorithm Based on Important Data Points

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