Yoshiharu Yamamoto

Orcid: 0000-0002-1132-0355

According to our database1, Yoshiharu Yamamoto authored at least 66 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Automated Cough Sound Analysis for Detecting Childhood Pneumonia.
IEEE J. Biomed. Health Informatics, January, 2024

LEPCNet: A Lightweight End-to-End PCG Classification Neural Network Model for Wearable Devices.
IEEE Trans. Instrum. Meas., 2024

2023
Battling with the low-resource condition for snore sound recognition: introducing a meta-learning strategy.
EURASIP J. Audio Speech Music. Process., December, 2023

Exploring interpretable representations for heart sound abnormality detection.
Biomed. Signal Process. Control., April, 2023

Explainable Stuttering Recognition Using Axial Attention.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity Data.
Proceedings of the IEEE International Conference on Data Mining, 2023

Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction.
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.
Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

Federated Intelligent Terminals Facilitate Stuttering Monitoring.
Proceedings of the IEEE International Conference on Acoustics, 2023

Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2023

An End-to-End Model for Speech-based Somatisation Disorder Detection.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Snore Sound Recognition via an Explainable Capsule Network.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Multi-Track Music Generation with WGAN-GP and Attention Mechanisms.
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.
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.
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.
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.
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.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Learning Multimodal Representations for Drowsiness Detection.
IEEE Trans. Intell. Transp. Syst., 2022

Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modeling of the Mental Status.
IEEE Trans. Comput. Soc. Syst., 2022

Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression.
CoRR, 2022

Heart Sound Classification based on Fractional Fourier Transformation Entropy.
Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

Heart Sound Classification based on Residual Shrinkage Networks.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Federated Learning Paradigm for Heart Sound Classification.
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.
IEEE J. Biomed. Health Informatics, 2021

Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring.
IEEE Signal Process. Mag., 2021

Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19.
IEEE Internet Things J., 2021

Can Appliances Understand the Behavior of Elderly Via Machine Learning? A Feasibility Study.
IEEE Internet Things J., 2021

Seasonal Sleep Variations and Their Association With Meteorological Factors: A Japanese Population Study Using Large-Scale Body Acceleration Data.
Frontiers Digit. Health, 2021

Deep Attention-based Representation Learning for Heart Sound Classification.
CoRR, 2021

Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview.
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.
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.
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.
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.
IEEE J. Biomed. Health Informatics, 2020

Computer Audition for Healthcare: Opportunities and Challenges.
Frontiers Digit. Health, 2020

deepSELF: An Open Source Deep Self End-to-End Learning Framework.
CoRR, 2020

Can Affective Computing Better the Mental Status of the Electronic Games Player? A Perspective.
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.
Proceedings of the Interspeech 2020, 2020

An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety.
Proceedings of the Interspeech 2020, 2020

Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification.
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.
IEEE Trans. Biomed. Eng., 2019

Deep Wavelets for Heart Sound Classification.
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.
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.
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.
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.
IEEE Trans. Biomed. Eng., 2018

2017
Multiscale properties of instantaneous parasympathetic activity in severe congestive heart failure: A survivor vs non-survivor study.
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.
Proc. IEEE, 2016

Long-range correlations in amplitude variability of HF and LF components of heart rate variability.
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.
IEEE J. Biomed. Health Informatics, 2015

Point-process high-resolution representations of heartbeat dynamics for multiscale analysis: A CHF survivor prediction study.
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.
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.
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.
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.
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.
NeuroImage, 2010

Single-trial EEG Power and Phase Dynamics Associated with Voluntary Response Inhibition.
J. Cogn. Neurosci., 2010

2008
Temporal decomposition of EEG during a simple reaction time task into stimulus- and response-locked components.
NeuroImage, 2008

Extracting a stimulus-unlocked component from EEG during NoGo trials of a Go/NoGo task.
NeuroImage, 2008

2006
Unique very low-frequency heart rate variability during deep sleep in humans.
IEEE Trans. Biomed. Eng., 2006

Aging of complex heart rate dynamics.
IEEE Trans. Biomed. Eng., 2006

Multiscale probability density function analysis: non-Gaussian and scale-Invariant fluctuations of healthy human heart rate.
IEEE Trans. Biomed. Eng., 2006

Recent Advances in Heart Rate Variability Signal Processing and Interpretation.
IEEE Trans. Biomed. Eng., 2006

1997
Respiratory influences on non-linear dynamics of heart rate variability in humans.
Biol. Cybern., 1997

1993
Operation Everest II: An indication of deterministic chaos in human heart rate variability at simulated extreme altitude.
Biol. Cybern., 1993


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