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Jyh-Shing Roger Jang

Jyh-Shing Roger Jang

D-Index & Metrics

Computer Science

D-Index
33
Citations
54265
World Ranking
12330
National Ranking
111

Overview

Jyh-Shing Roger Jang is affiliated with National Taiwan University in Taiwan and has contributed extensively to the intersection of computer science and medicine. Their research portfolio spans several core fields of study, including Computer Science and Medicine, with a strong emphasis on Artificial Intelligence and Signal Processing as key subfields. They also engage in work related to Computer Vision and Pattern Recognition, Physiology, and Neurology.

Their publications reveal a focus on topics such as Speech and Audio Processing, Speech Recognition and Synthesis, Music and Audio Processing, and Music Technology and Sound Studies. Additionally, they address Topic Modeling, Natural Language Processing Techniques, and Voice and Speech Disorders.

Among their recent published papers are:

  • Classifications of Neurodegenerative Disorders Using a Multiplex Blood Biomarkers-Based Machine Learning Model, 2020, International Journal of Molecular Sciences
  • An integrated biometric voice and facial features for early detection of Parkinson's disease, 2022, npj Parkinson s Disease
  • Artificial Intelligence-Assisted Early Detection of Retinitis Pigmentosa - the Most Common Inherited Retinal Degeneration, 2021, Journal of Digital Imaging
  • Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia, 2022, BMC Medical Imaging
  • Machine Learning-Based Classification of Subjective Cognitive Decline, Mild Cognitive Impairment, and Alzheimer's Dementia Using Neuroimage and Plasma Biomarkers, 2022, ACS Chemical Neuroscience

Frequent co-authors in Jyh-Shing Roger Jang's work include Shu-I Chiu, Hung-yi Lee, Chung-Che Wang, Haibin Wu, and Chin-Hsien Lin. Collaboration with these researchers occurs regularly, reflecting ongoing partnerships.

Publication venues prominent in their career include arXiv (Cornell University), IEEE Access, Zenodo (CERN European Organization for Nuclear Research), npj Parkinson s Disease, and Scientific Reports. The distribution of publications indicates a significant presence in preprint repositories and open-access journals focused on multidisciplinary scientific research.

Best Publications

  • ANFIS: adaptive-network-based fuzzy inference system

    J.-S.R. Jang

  • Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review]

    J.S.R. Jang;C.T. Sun;E. Mizutani

  • Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence

    Jyh-Shing Roger Jang;Chuen-Tsai Sun

  • Neuro-fuzzy modeling and control

    J.-S.R. Jang;Chuen-Tsai Sun

  • Functional equivalence between radial basis function networks and fuzzy inference systems

    J.-S.R. Jang;C.-T. Sun

  • Self-learning fuzzy controllers based on temporal backpropagation

    J.-S.R. Jang

  • Fuzzy modeling using generalized neural networks and Kalman filter algorithm

    Jyh-Shing R. Jang

  • Input selection for ANFIS learning

    J.-S.R. Jang

  • Wafer Map Failure Pattern Recognition and Similarity Ranking for Large-Scale Data Sets

    Ming-Ju Wu;Jyh-Shing R. Jang;Jui-Long Chen

  • On the Improvement of Singing Voice Separation for Monaural Recordings Using the MIR-1K Dataset

    Chao-Ling Hsu;J.-S.R. Jang

  • Structure determination in fuzzy modeling: a fuzzy CART approach

    J.-S.R. Jang

  • Vocal activity informed singing voice separation with the iKala dataset

    Tak-Shing Chan;Tzu-Chun Yeh;Zhe-Cheng Fan;Hung-Wei Chen

  • A neuro-fuzzy classifier and its applications

    Unknown

  • Hierarchical filtering method for content-based music retrieval via acoustic input

    Jyh-Shing Roger Jang;Hong-Ru Lee

  • Fuzzy controller design without domain experts

    J.-S.R. Jang

  • Predicting chaotic time series with fuzzy if-then rules

    J.-S.R. Jang;C.-T. Sun

  • Levenberg-Marquardt method for ANFIS learning

    Jyh-Shing Roger Jang;E. Mizutani

  • A Query-by-Singing System based on Dynamic Programming

    Jyh-Shing Roger Jang;Ming-Yang Gao

  • A General Framework of Progressive Filtering and Its Application to Query by Singing/Humming

    J.-S.R. Jang;Hong-Ru Lee

  • Coactive neural fuzzy modeling

    E. Mizutani;J.-S.R. Jang

  • A Tandem Algorithm for Singing Pitch Extraction and Voice Separation From Music Accompaniment

    Chao-Ling Hsu;DeLiang Wang;Jyh-Shing Roger Jang;Ke Hu

Frequent Co-Authors

Yi-Hsuan Yang
Yi-Hsuan Yang National Taiwan University
Costas S. Iliopoulos
Costas S. Iliopoulos King's College London
Ming-Jang Chiu
Ming-Jang Chiu National Taiwan University
Hideyuki Takagi
Hideyuki Takagi Kyushu University
Hsin-Min Wang
Hsin-Min Wang Academia Sinica
DeLiang Wang
DeLiang Wang Chinese University of Hong Kong, Shenzhen
Ja-Ling Wu
Ja-Ling Wu National Taiwan University
Nobutaka Ono
Nobutaka Ono Tokyo Metropolitan University

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