Author Page for Suguru Kanoga

Virtual Source Assistance: Improving Transfer Learning Performance for Biological Signal Classification with Data from Few Source Subjects

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Virtual Source Assistance: Improving Transfer Learning Performance for Biological Signal Classification with Data from Few Source Subjects

Number of pages: 26 Posted: 09 May 2025

Takayuki Hoshino, Suguru Kanoga, Tomoumi Takase and Atsushi Aoyama

National Institute of Advanced Industrial Science and Technology (AIST), National Institute of Advanced Industrial Science and Technology (AIST), National Institute of Advanced Industrial Science and Technology (AIST) and Keio University

Downloads 53 (1,072,374)

Abstract:

Virtual Source Assistance: Improving Transfer Learning Performance for Biological Signal Classification with Data from Few Source Subjects

Number of pages: 26 Posted: 02 Jun 2025

Takayuki Hoshino, Suguru Kanoga, Tomoumi Takase and Atsushi Aoyama

National Institute of Advanced Industrial Science and Technology (AIST), National Institute of Advanced Industrial Science and Technology (AIST), National Institute of Advanced Industrial Science and Technology (AIST) and Keio University

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Abstract:

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Comparison of Six Shallow and Deep Regressors in Continuous Blood Pressure and Heart Rate Estimation Using Single-Channel Photoplethysmograms

Number of pages: 35 Posted: 06 Oct 2022

Suguru Kanoga, Takayuki Hoshino, Satoshi Kamei, Takehito Kobayashi, Tsuguo Ohmori, Masaaki Uchiyama and Mitsunori Tada

National Institute of Advanced Industrial Science and Technology (AIST), National Institute of Advanced Industrial Science and Technology (AIST), National Institute of Advanced Industrial Science and Technology (AIST), Saitama University - Saitama Medical University, WithUS Co. Ltd, Kaikoukai Healthcare Corporation and National Institute of Advanced Industrial Science and Technology (AIST)

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Suguru Kanoga

National Institute of Advanced Industrial Science and Technology (AIST)

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Scholarly Papers (2)

Virtual Source Assistance: Improving Transfer Learning Performance for Biological Signal Classification with Data from Few Source Subjects

Virtual Source Assistance: Improving Transfer Learning Performance for Biological Signal Classification with Data from Few Source Subjects

Abstract:

Virtual Source Assistance: Improving Transfer Learning Performance for Biological Signal Classification with Data from Few Source Subjects

Abstract:

Comparison of Six Shallow and Deep Regressors in Continuous Blood Pressure and Heart Rate Estimation Using Single-Channel Photoplethysmograms

Abstract: