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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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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Online Access: | 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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Institution: | Singapore Management University |
Language: | English |