When less is more powerful: Shapley value attributed ablation with augmented learning for practical time series sensor data classification
出版年份 2022 全文链接
标题
When less is more powerful: Shapley value attributed ablation with augmented learning for practical time series sensor data classification
作者
关键词
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出版物
PLoS One
Volume 17, Issue 11, Pages e0277975
出版商
Public Library of Science (PLoS)
发表日期
2022-11-24
DOI
10.1371/journal.pone.0277975
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- (2021) Qiyao Wang et al. NEUROCOMPUTING
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- (2021) Yoshua Bengio et al. COMMUNICATIONS OF THE ACM
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- (2021) Rohit Salgotra et al. APPLIED SOFT COMPUTING
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- (2021) Harbinder Singh et al. EXPERT SYSTEMS WITH APPLICATIONS
- TS-CHIEF: a scalable and accurate forest algorithm for time series classification
- (2020) Ahmed Shifaz et al. DATA MINING AND KNOWLEDGE DISCOVERY
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- (2020) Sasan Maleki et al. PLoS One
- Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019
- (2020) Gregory A. Roth et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
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- (2020) Alireza Zaeemzadeh et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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- (2019) Benjamin Lucas et al. DATA MINING AND KNOWLEDGE DISCOVERY
- catch22: CAnonical Time-series CHaracteristics
- (2019) Carl H. Lubba et al. DATA MINING AND KNOWLEDGE DISCOVERY
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- (2018) Yann LeCun RESEARCH-TECHNOLOGY MANAGEMENT
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- (2016) Anthony Bagnall et al. DATA MINING AND KNOWLEDGE DISCOVERY
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- (2015) Anthony Bagnall et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
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- (2013) Houtao Deng et al. INFORMATION SCIENCES
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