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Investigating the use of a two-stage attention-aware convolutional neural network for the automated diagnosis of otitis media from tympanic membrane images: a prediction model development and validation study

BMJ open, 2021-01, Vol.11 (1), p.e041139-e041139

2021

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Analysing wideband absorbance immittance in normal and ears with otitis media with effusion using machine learning

Scientific reports, 2021-05, Vol.11 (1), p.10643-10643, Article 10643

2021

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Three‐dimensional wideband absorbance immittance findings in young adults with large vestibular aqueduct syndrome

Laryngoscope investigative otolaryngology, 2023-02, Vol.8 (1), p.236-244

2023

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Machine Learning in Diagnosing Middle Ear Disorders Using Tympanic Membrane Images: A Meta‐Analysis

The Laryngoscope, 2023-04, Vol.133 (4), p.732-741

2023

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Contributions and limitations of using machine learning to predict noise-induced hearing loss

International archives of occupational and environmental health, 2021-07, Vol.94 (5), p.1097-1111

2021

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Source separation using regularized NMF with MMSE estimates under GMM priors with online learning for the uncertainties

Digital signal processing, 2014-06, Vol.29, p.20-34

2014

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Two-Stage Single-Channel Audio Source Separation Using Deep Neural Networks

IEEE/ACM transactions on audio, speech, and language processing, 2017-09, Vol.25 (9), p.1773-1783

2017

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IEEE_Xplore

Raw Multi-Channel Audio Source Separation using Multi- Resolution Convolutional Auto-Encoders

2018 26th European Signal Processing Conference (EUSIPCO), 2018, p.1577-1581

2018

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IEEE_Xplore

Deep neural networks for single channel source separation

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.3734-3738

2014

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IEEE_Xplore

Regularized nonnegative matrix factorization using Gaussian mixture priors for supervised single channel source separation

Computer speech & language, 2013-05, Vol.27 (3), p.746-762

2013

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Reinforcement Learning for Multiple-Input Multiple-Output Control in Metal Additive Manufacturing

2023 IEEE International Conference on Networking, Sensing and Control (ICNSC), 2023, Vol.1, p.1-6

2023

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Semi-blind Speech-Music Separation Using Sparsity and Continuity Priors

2010 20th International Conference on Pattern Recognition, 2010, p.4573-4576

2010

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IEEE_Xplore

Thyroid and the Heart

The American journal of medicine, 2014-08, Vol.127 (8), p.691-698

2014

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An advanced machine learning approach for high accuracy automated diagnosis of otitis media with effusion in different age groups using 3D wideband acoustic immittance

Biomedical signal processing and control, 2024-01, Vol.87, p.105525, Article 105525

2024

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Combined analysis of long-term anti-β-cell humoral reactivity in type 1 diabetes with and without thyroid disease

Diabetes & metabolism, 1999-03, Vol.25 (1), p.28-33

1999

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Regularized nonnegative matrix factorization using Gaussian mixture priors for supervised single channel source separation: Special Issue on Speech Separation and Recognition in Multisource Environments

Computer speech & language, 2013, Vol.27 (3), p.746-762

2013

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Islamic finance and economic development: risk, regulation, and corporate governance

1, 2015

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BSS Eval or Peass? Predicting the Perception of Singing-Voice Separation

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.596-600

2018

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IEEE_Xplore

Single channel speech music separation using nonnegative matrix factorization and spectral masks

2011 17th International Conference on Digital Signal Processing (DSP), 2011, p.1-6

2011

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IEEE_Xplore

Single channel audio source separation using convolutional denoising autoencoders

2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017, p.1265-1269

2017

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IEEE_Xplore

Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation

Latent Variable Analysis and Signal Separation, p.340-350

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Incorporating Prior Information in Nonnegative Matrix Factorization for Audio Source Separation

Grais, E M

2017

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ProQuest

Murmurs Associated with Mitral Annular Calcification and Aortic Sclerosis

Gerontology (Basel), 1999, Vol.45 (2), p.115-119

1999

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Coping with a decline in world energy prices: Macroeconomic and income distribution effects in Thailand

Journal of development economics, 1987-08, Vol.26 (2), p.235-255

Grais, W.M.

1987

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Late Recurrence of Atrial Flutter Following Radiofrequency Catheter Ablation

Pacing and clinical electrophysiology, 1997-12, Vol.20 (12), p.2998-3001

1997

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Investigating the use of a two-stage attention-aware convolutional neural network for the automated diagnosis of otitis media from tympanic membrane images: a prediction model development and validation study

Analysing wideband absorbance immittance in normal and ears with otitis media with effusion using machine learning

Three‐dimensional wideband absorbance immittance findings in young adults with large vestibular aqueduct syndrome

Machine Learning in Diagnosing Middle Ear Disorders Using Tympanic Membrane Images: A Meta‐Analysis

Contributions and limitations of using machine learning to predict noise-induced hearing loss

Source separation using regularized NMF with MMSE estimates under GMM priors with online learning for the uncertainties

Two-Stage Single-Channel Audio Source Separation Using Deep Neural Networks

Raw Multi-Channel Audio Source Separation using Multi- Resolution Convolutional Auto-Encoders

Deep neural networks for single channel source separation

Regularized nonnegative matrix factorization using Gaussian mixture priors for supervised single channel source separation

Reinforcement Learning for Multiple-Input Multiple-Output Control in Metal Additive Manufacturing

Semi-blind Speech-Music Separation Using Sparsity and Continuity Priors

Thyroid and the Heart

An advanced machine learning approach for high accuracy automated diagnosis of otitis media with effusion in different age groups using 3D wideband acoustic immittance

Combined analysis of long-term anti-β-cell humoral reactivity in type 1 diabetes with and without thyroid disease

Regularized nonnegative matrix factorization using Gaussian mixture priors for supervised single channel source separation: Special Issue on Speech Separation and Recognition in Multisource Environments

Islamic finance and economic development: risk, regulation, and corporate governance

BSS Eval or Peass? Predicting the Perception of Singing-Voice Separation

Single channel speech music separation using nonnegative matrix factorization and spectral masks

Single channel audio source separation using convolutional denoising autoencoders

Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation

Incorporating Prior Information in Nonnegative Matrix Factorization for Audio Source Separation

Murmurs Associated with Mitral Annular Calcification and Aortic Sclerosis

Coping with a decline in world energy prices: Macroeconomic and income distribution effects in Thailand

Late Recurrence of Atrial Flutter Following Radiofrequency Catheter Ablation

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