Yoshiharu Yamamoto

According to our database, Yoshiharu Yamamoto authored at least 74 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework.

Wanyong Qiu, Chen Quan, Lixian Zhu, Yongzi Yu, Zhihua Wang, Yu Ma, Mengkai Sun, Yi Chang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller

IEEE Trans. Biomed. Eng., October, 2024

Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection.

Wanyong Qiu, Yifan Feng, Yuying Li, Yi Chang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller

IEEE J. Biomed. Health Informatics, September, 2024

Automated Cough Sound Analysis for Detecting Childhood Pneumonia.

Roneel V. Sharan, Kun Qian, Yoshiharu Yamamoto

IEEE J. Biomed. Health Informatics, January, 2024

LEPCNet: A Lightweight End-to-End PCG Classification Neural Network Model for Wearable Devices.

Lixian Zhu, Wanyong Qiu, Yu Ma, Fuze Tian, Mengkai Sun, Zhihua Wang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller

IEEE Trans. Instrum. Meas., 2024

Macro-Sleep Staging With ECG-Derived Instantaneous Heart Rate and Respiration Signals and Multi-Input 1-D CNN-BiGRU.

Roneel V. Sharan, Hiroki Takeuchi, Akifumi Kishi, Yoshiharu Yamamoto

IEEE Trans. Instrum. Meas., 2024

Deep Fusion of Shifted MLP and CNN for Medical Image Segmentation.

Chengyu Yuan, Hao Xiong, Guoqing Shangguan, Hualei Shen, Dong Liu, Haojie Zhang, Zhonghua Liu, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto, Shlomo Berkovsky

Proceedings of the IEEE International Conference on Acoustics, 2024

Temporal Oriented ResNet for Gaming Dimensional Emotion Prediction.

Meishu Song, Xin Jing, Emilia Parada-Cabaleiro, Zijiang Yang, Yoshiharu Yamamoto, Björn W. Schuller

Proceedings of the 32nd European Signal Processing Conference, 2024

Lecture Video Highlights Detection from Speech.

Meishu Song, Ilhan Aslan, Emilia Parada-Cabaleiro, Zijiang Yang, Elisabeth André, Yoshiharu Yamamoto, Björn W. Schuller

Proceedings of the 32nd European Signal Processing Conference, 2024

Weight Light, Hear Right: Heart Sound Classification with a Low-Complexity Model.

Jiahao Ji, Lixian Zhu, Haojie Zhang, Kun Qian, Kele Xu, Zikai Song, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Battling with the low-resource condition for snore sound recognition: introducing a meta-learning strategy.

Jingtan Li, Mengkai Sun, Zhonghao Zhao, Xingcan Li, Gaigai Li, Chen Wu, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller

EURASIP J. Audio Speech Music. Process., December, 2023

Exploring interpretable representations for heart sound abnormality detection.

Zhihua Wang, Kun Qian, Houguang Liu, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Biomed. Signal Process. Control., April, 2023

Explainable Stuttering Recognition Using Axial Attention.

Yu Ma, Yuting Huang, Kaixiang Yuan, Guangzhe Xuan, Yongzi Yu, Hengrui Zhong, Rui Li, Jian Shen, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity Data.

Dewen Xu, Zhihua Wang, Tsuyoshi Kitajima, Toru Nakamura, Hiroko Shimura, Hiroki Takeuchi, Yang Tan, Runze Ge, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the IEEE International Conference on Data Mining, 2023

Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction.

Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos, Toru Nakamura, Yongxin Zhang, Zhao Ren, Hiroki Takeuchi, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Haojie Zhang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the IEEE International Conference on Data Mining, 2023

An Investigation on Data Augmentation and Multiple Instance Learning for Diagnosis of COVID-19 from Speech and Cough Sound.

Tomoya Koike, Zhihua Wang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

Federated Intelligent Terminals Facilitate Stuttering Monitoring.

Yongzi Yu, Wanyong Qiu, Chen Quan, Kun Qian, Zhihua Wang, Yu Ma, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the IEEE International Conference on Acoustics, 2023

Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis.

Meishu Song, Andreas Triantafyllopoulos, Zijiang Yang, Hiroki Takeuchi, Toru Nakamura, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Xin Jing, Vincent Karas, Zhonghao Zhao, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the IEEE International Conference on Acoustics, 2023

AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification.

Yang Tan, Zhihua Wang, Kun Qian, Zhihao Bao, Zheyu Cao, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller

Proceedings of the IEEE International Conference on E-health Networking, 2023

An End-to-End Model for Speech-based Somatisation Disorder Detection.

Runze Ge, Zhihua Wang, Zhonghao Zhao, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Snore Sound Recognition via an Explainable Capsule Network.

Minki Cho, Zhonghao Zhao, Zhihua Wang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller

Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Multi-Track Music Generation with WGAN-GP and Attention Mechanisms.

Luyu Chen, Lin Shen, Dan Yu, Zhihua Wang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Less is More: A Novel Feature Extraction Method for Heart Sound Classification via Fractal Transformation.

Cuiping Zhu, Zhonghao Zhao, Yang Tan, Mengkai Sun, Kun Qian, Tao Jiang, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Cutting Weights of Deep Learning Models for Heart Sound Classification: Introducing a Knowledge Distillation Approach.

Zikai Song, Lixian Zhu, Yiyan Wang, Mengkai Sun, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron.

Roneel V. Sharan, Kun Qian, Yoshiharu Yamamoto

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

How does Music Affect Your Brain? A Pilot Study on EEG and Music Features for Automatic Analysis.

Gang Luo, Shuting Sun, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Somatisation Disorder Detection via Speech: Introducing a Self-Supervised Learning Model.

Zhihao Bao, Kun Qian, Zhonghao Zhao, Mengkai Sun, Ruolan Huang, Dewen Xu, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Learning Multimodal Representations for Drowsiness Detection.

Kun Qian, Tomoya Koike, Toru Nakamura, Björn W. Schuller, Yoshiharu Yamamoto

IEEE Trans. Intell. Transp. Syst., 2022

Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modeling of the Mental Status.

Bin Hu, Kun Qian, Qunxi Dong, Yuejia Luo, Yoshiharu Yamamoto, Björn W. Schuller

IEEE Trans. Comput. Soc. Syst., 2022

Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression.

Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos, Xin Jing, Vincent Karas, Jiangjian Xie, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller

CoRR, 2022

Heart Sound Classification based on Fractional Fourier Transformation Entropy.

Yang Tan, Zhihua Wang, Kun Qian, Bin Hu, Shiliang Zhao, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

Heart Sound Classification based on Residual Shrinkage Networks.

Lixian Zhu, Kun Qian, Zhihua Wang, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Federated Learning Paradigm for Heart Sound Classification.

Wanyong Qiu, Kun Qian, Zhihua Wang, Yi Chang, Zhihao Bao, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review.

Kun Qian, Christoph Janott, Maximilian Schmitt, Zixing Zhang, Clemens Heiser, Werner Hemmert, Yoshiharu Yamamoto, Björn W. Schuller

IEEE J. Biomed. Health Informatics, 2021

Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring.

Kun Qian, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller

IEEE Signal Process. Mag., 2021

Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19.

Kun Qian, Maximilian Schmitt, Huaiyuan Zheng, Tomoya Koike, Jing Han, Juan Liu, Wei Ji, Junjun Duan, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller

IEEE Internet Things J., 2021

Can Appliances Understand the Behavior of Elderly Via Machine Learning? A Feasibility Study.

Kun Qian, Tomoya Koike, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto

IEEE Internet Things J., 2021

Seasonal Sleep Variations and Their Association With Meteorological Factors: A Japanese Population Study Using Large-Scale Body Acceleration Data.

Li Li, Toru Nakamura, Junichiro Hayano, Yoshiharu Yamamoto

Frontiers Digit. Health, 2021

Deep Attention-based Representation Learning for Heart Sound Classification.

Zhao Ren, Kun Qian, Fengquan Dong, Zhenyu Dai, Yoshiharu Yamamoto, Björn W. Schuller

CoRR, 2021

Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview.

Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

Predicting Group Work Performance from Physical Handwriting Features in a Smart English Classroom.

Meishu Song, Kun Qian, Bin Chen, Keiju Okabayashi, Emilia Parada-Cabaleiro, Zijiang Yang, Shuo Liu, Kazumasa Togami, Ichiro Hidaka, Yueheng Wang, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the ICDSP 2021: 5th International Conference on Digital Signal Processing, 2021

Sensing the Sounds of Silence: A Pilot Study on the Detection of Model Mice of Autism Spectrum Disorder from Ultrasonic Vocalisations.

Kun Qian, Tomoya Koike, Kota Tamada, Toru Takumi, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Transferring Cross-Corpus Knowledge: An Investigation on Data Augmentation for Heart Sound Classification.

Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS - The Heart Sounds Shenzhen Corpus.

Fengquan Dong, Kun Qian, Zhao Ren, Alice Baird, Xinjian Li, Zhenyu Dai, Bo Dong, Florian Metze, Yoshiharu Yamamoto, Björn W. Schuller

IEEE J. Biomed. Health Informatics, 2020

Computer Audition for Healthcare: Opportunities and Challenges.

Kun Qian, Xiao Li, Haifeng Li, Shengchen Li, Wei Li, Zuoliang Ning, Shuai Yu, Limin Hou, Gang Tang, Jing Lu, Feng Li, Shufei Duan, Chengcheng Du, Yao Cheng, Yujun Wang, Lin Gan, Yoshiharu Yamamoto, Björn W. Schuller

Frontiers Digit. Health, 2020

deepSELF: An Open Source Deep Self End-to-End Learning Framework.

Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto

CoRR, 2020

Can Affective Computing Better the Mental Status of the Electronic Games Player? A Perspective.

Yueheng Wang, Kun Qian, Jacob Nelson, Hiromichi Yagi, Akifumi Kishi, Kenji Morita, Yoshiharu Yamamoto

Proceedings of the 2nd IEEE Global Conference on Life Sciences and Technologies, 2020

Learning Higher Representations from Pre-Trained Deep Models with Data Augmentation for the COMPARE 2020 Challenge Mask Task.

Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety.

Jing Han, Kun Qian, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Juan Liu, Huaiyuan Zheng, Wei Ji, Tomoya Koike, Xiao Li, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification.

Tomoya Koike, Kun Qian, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Wavelet p-Leader Non Gaussian Multiscale Expansions for Heart Rate Variability Analysis in Congestive Heart Failure Patients.

Herwig Wendt, Patrice Abry, Ken Kiyono, Junichiro Hayano, Eiichi Watanabe, Yoshiharu Yamamoto

IEEE Trans. Biomed. Eng., 2019

Deep Wavelets for Heart Sound Classification.

Kun Qian, Zhao Ren, Fengquan Dong, Wen-Hsing Lai, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 2019 International Symposium on Intelligent Signal Processing and Communication Systems, 2019

Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach.

Kun Qian, Hiroyuki Kuromiya, Zhao Ren, Maximilian Schmitt, Zixing Zhang, Toru Nakamura, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Teaching Machines to Know Your Depressive State: On Physical Activity in Health and Major Depressive Disorder.

Kun Qian, Hiroyuki Kuromiya, Zixing Zhang, Jinhyuk Kim, Toru Nakamura, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Group Activity Recognition to Support Collaboration in Creative Digital Space.

Bin Chen, Koki Hatada, Keiju Okabayashi, Hiroyuki Kuromiya, Ichiro Hidaka, Yoshiharu Yamamoto, Kazumasa Togami

Proceedings of the Companion Publication of the 2019 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2019

2018

Mortality Prediction in Severe Congestive Heart Failure Patients With Multifractal Point-Process Modeling of Heartbeat Dynamics.

Gaetano Valenza, Herwig Wendt, Ken Kiyono, Junichiro Hayano, Eiichi Watanabe, Yoshiharu Yamamoto, Patrice Abry, Riccardo Barbieri

IEEE Trans. Biomed. Eng., 2018

2017

Multiscale properties of instantaneous parasympathetic activity in severe congestive heart failure: A survivor vs non-survivor study.

Gaetano Valenza, Herwig Wendt, Ken Kiyono, Junichiro Hayano, Eiichi Watanabe, Yoshiharu Yamamoto, Patrice Abry, Riccardo Barbieri

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Multiscale Analysis of Intensive Longitudinal Biomedical Signals and Its Clinical Applications.

Toru Nakamura, Ken Kiyono, Herwig Wendt, Patrice Abry, Yoshiharu Yamamoto

Proc. IEEE, 2016

Long-range correlations in amplitude variability of HF and LF components of heart rate variability.

Yuki Miki, Yasuyuki Suzuki, Eiichi Watanabe, Junichiro Hayano, Yoshiharu Yamamoto, Taishin Nomura, Ken Kiyono

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Covariation of Depressive Mood and Spontaneous Physical Activity in Major Depressive Disorder: Toward Continuous Monitoring of Depressive Mood.

Jinhyuk Kim, Toru Nakamura, Hiroe Kikuchi, Kazuhiro Yoshiuchi, Tsukasa Sasaki, Yoshiharu Yamamoto

IEEE J. Biomed. Health Informatics, 2015

Point-process high-resolution representations of heartbeat dynamics for multiscale analysis: A CHF survivor prediction study.

Gaetano Valenza, Herwig Wendt, Ken Kiyono, Junichiro Hayano, Eiichi Watanabe, Yoshiharu Yamamoto, Patrice Abry, Riccardo Barbieri

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Psychobehavioral validity of self-reported symptoms based on spontaneous physical activity.

Jinhyuk Kim, Toru Nakamura, Hiroe Kikuchi, Yoshiharu Yamamoto

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

MultiScale wavelet p-leader based heart rate variability analysis for survival probability assessment in CHF patients.

Herwig Wendt, Ken Kiyono, Patrice Abry, Junichiro Hayano, Eiichi Watanabe, Yoshiharu Yamamoto

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Co-variation of depressive mood and spontaneous physical activity evaluated by ecological momentary assessment in major depressive disorder.

Jinhyuk Kim, Toru Nakamura, Hiroe Kikuchi, Kazuhiro Yoshiuchi, Yoshiharu Yamamoto

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012

Behavioral organization of locomotor activity and its modeling.

Toru Nakamura, Yoshiharu Yamamoto

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

2010

A generalized method to estimate waveforms common across trials from EEGs.

Yusuke Takeda, Masa-aki Sato, Kentaro Yamanaka, Daichi Nozaki, Yoshiharu Yamamoto

NeuroImage, 2010

Single-trial EEG Power and Phase Dynamics Associated with Voluntary Response Inhibition.

Kentaro Yamanaka, Yoshiharu Yamamoto

J. Cogn. Neurosci., 2010

2008

Temporal decomposition of EEG during a simple reaction time task into stimulus- and response-locked components.

Yusuke Takeda, Kentaro Yamanaka, Yoshiharu Yamamoto

NeuroImage, 2008

Extracting a stimulus-unlocked component from EEG during NoGo trials of a Go/NoGo task.

Yusuke Takeda, Kentaro Yamanaka, Daichi Nozaki, Yoshiharu Yamamoto

NeuroImage, 2008

2006

Unique very low-frequency heart rate variability during deep sleep in humans.

Fumiharu Togo, Ken Kiyono, Zbigniew R. Struzik, Yoshiharu Yamamoto

IEEE Trans. Biomed. Eng., 2006

Aging of complex heart rate dynamics.

Zbigniew R. Struzik, Junichiro Hayano, R. Soma, Shin Kwak, Yoshiharu Yamamoto

IEEE Trans. Biomed. Eng., 2006

Multiscale probability density function analysis: non-Gaussian and scale-Invariant fluctuations of healthy human heart rate.

Ken Kiyono, Zbigniew R. Struzik, Naoko Aoyagi, Yoshiharu Yamamoto

IEEE Trans. Biomed. Eng., 2006

Recent Advances in Heart Rate Variability Signal Processing and Interpretation.

Sergio Cerutti, Ary L. Goldberger, Yoshiharu Yamamoto

IEEE Trans. Biomed. Eng., 2006

1997

Respiratory influences on non-linear dynamics of heart rate variability in humans.

Jacques Olivier Fortrat, Yoshiharu Yamamoto, Richard Lee Hughson

Biol. Cybern., 1997

1993

Operation Everest II: An indication of deterministic chaos in human heart rate variability at simulated extreme altitude.

Yoshiharu Yamamoto, Richard Lee Hughson, John R. Sutton, Charles S. Houston, Allen Cymerman, Ernest L. Fallen, Marked V. Kamath

Biol. Cybern., 1993