Towards gradient-based time-series explanations through a spatiotemporal attention network

In this paper, we explore the feasibility of using a transformer-based, spatiotemporal attention network (STAN) for gradient-based time-series explanations. First, we trained the STAN model for video classifications using the global and local views of data and weakly supervised labels on time-series...

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主要作者: LEE, Min Hun
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2024
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/9959
https://ink.library.smu.edu.sg/context/sis_research/article/10959/viewcontent/2405.17444v1.pdf
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機構: Singapore Management University
語言: English