CAFO: Feature-Centric Explanation on Time Series Classification-Reference-Cited by-同舟云学术

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CAFO: Feature-Centric Explanation on Time Series Classification

Published:2024-08-24 Issue: Volume:33 Page:1372-1382
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Kim Jaeho¹^ORCID,Hahn Seok-Ju²^ORCID,Hwang Yoontae²^ORCID,Lee Junghye³^ORCID,Lee Seulki⁴^ORCID

Affiliation:

1. Artificial Intelligence Graduate School, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea

2. Department of Industrial Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea

3. Technology Management, Economics and Policy Program, Seoul National University (SNU) & Graduate School of Engineering Practice & Institute of Engineering Research, Seoul National University (SNU), Seoul, Republic of Korea

4. Computer Science and Engineering & Artificial Intelligence Graduate School, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671724

Reference52 articles.

1. Hervé Abdi. 2007. The Kendall rank correlation coefficient. Encyclopedia of Measurement and Statistics. Sage, Thousand Oaks, CA (2007), 508--510.

2. TimeSHAP: Explaining Recurrent Models through Sequence Perturbations

3. Overcoming Bandwidth Limitations in Wireless Sensor Networks by Exploitation of Cyclic Signal Patterns: An Event-triggered Learning Approach

4. Numerics of Gram-Schmidt orthogonalization

5. A dendrite method for cluster analysis

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