Online Few-Shot Time Series Classification for Aftershock Detection-Reference-Cited by-同舟云学术

Online Few-Shot Time Series Classification for Aftershock Detection

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Zhong Sheng¹^ORCID,Souza Vinicius M.A.²^ORCID,Baker Glenn Eli³^ORCID,Mueen Abdullah¹^ORCID

Affiliation:

1. The University of New Mexico, Albuquerque, USA

2. Pontifícia Universidade Católica do Paraná, Curitiba, Brazil

3. The Air Force Research Laboratory, Albuquerque, USA

Funder

National Science Foundation

Air Force Research Laboratory

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599879

Reference38 articles.

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2. Rex V Allen . 1978. Automatic earthquake recognition and timing from single traces. Bulletin of the seismological society of America , Vol. 68 , 5 ( 1978 ), 1521--1532. Rex V Allen. 1978. Automatic earthquake recognition and timing from single traces. Bulletin of the seismological society of America, Vol. 68, 5 (1978), 1521--1532.

3. William Vickers Anthony Bagnall , Jason Lines and Eamonn Keogh . 2023 . The UEA & UCR Time Series Classification Repository. www.timeseriesclassification.com Retrieved Jan 19, 2023 from William Vickers Anthony Bagnall, Jason Lines and Eamonn Keogh. 2023. The UEA & UCR Time Series Classification Repository. www.timeseriesclassification.com Retrieved Jan 19, 2023 from

4. Yanping Chen , Bing Hu , Eamonn Keogh , and Gustavo E.A.P . A Batista . 2013 . DTW-D: Time Series Semi-Supervised Learning from a Single Example. In Proceedings of the KDD 2013 (Chicago, Illinois, USA) (KDD '13). Association for Computing Machinery , New York, NY, USA, 383--391. https://doi.org/10.1145/2487575.2487633 10.1145/2487575.2487633 Yanping Chen, Bing Hu, Eamonn Keogh, and Gustavo E.A.P.A Batista. 2013. DTW-D: Time Series Semi-Supervised Learning from a Single Example. In Proceedings of the KDD 2013 (Chicago, Illinois, USA) (KDD '13). Association for Computing Machinery, New York, NY, USA, 383--391. https://doi.org/10.1145/2487575.2487633

5. Aftershock Identification Using a Paired Neural Network Applied to Constructed Data