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For: Qian H, Pan SJ, Miao C. Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions. ARTIF INTELL 2021. [DOI: 10.1016/j.artint.2020.103429] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Number Cited by Other Article(s)
1
Zhao W, Fan L. Time-series representation learning via Time-Frequency Fusion Contrasting. Front Artif Intell 2024;7:1414352. [PMID: 38933470 PMCID: PMC11199859 DOI: 10.3389/frai.2024.1414352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 05/27/2024] [Indexed: 06/28/2024]  Open
2
Zhang S, Li Y, Zhang S, Shahabi F, Xia S, Deng Y, Alshurafa N. Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances. SENSORS (BASEL, SWITZERLAND) 2022;22:1476. [PMID: 35214377 PMCID: PMC8879042 DOI: 10.3390/s22041476] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 01/30/2022] [Accepted: 01/31/2022] [Indexed: 02/04/2023]
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