Reply to: "Reproducibility of Voice Analysis with Machine Learning"

被引：3
|
作者：
Asci, Francesco [1 ]
Costantini, Giovanni [2 ]
Di Leo, Pietro [2 ]
Saggio, Giovanni [2 ]
Suppa, Antonio [1 ,3 ]
机构：
[1] IRCCS Neuromed Inst, Pozzilli, Italy
[2] Univ Roma Tor Vergata, Dept Elect Engn, Rome, Italy
[3] Sapienza Univ Rome, Dept Human Neurosci, Rome, Italy
来源：
MOVEMENT DISORDERS | 2021年 / 36卷 / 05期
关键词：
D O I：
10.1002/mds.28601
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
引用
收藏
页码：1283 / 1284
页数：2
相关论文
共 50 条
  • [1] Reproducibility of Voice Analysis with Machine Learning
    Rusz, Jan
    Svihlik, Jan
    Kryze, Petr
    Novotny, Michal
    Tykalova, Tereza
    [J]. MOVEMENT DISORDERS, 2021, 36 (05) : 1282 - 1283
  • [2] The "Idealized Machine Learning Pipeline" for Advancing Reproducibility in Machine Learning
    Zheng, Yantong
    Stodden, Victoria
    [J]. PROCEEDINGS OF THE 2ND ACM CONFERENCE ON REPRODUCIBILITY AND REPLICABILITY, ACM REP 2024, 2024, : 110 - 120
  • [3] A Machine Learning-Based Voice Analysis for the Detection of Dysphagia Biomarkers
    Cesarini, Valerio
    Casiddu, Niccolo
    Porfirione, Claudia
    Massazza, Giulia
    Saggio, Giovanni
    Costantini, Giovanni
    [J]. 2021 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (IEEE METROIND4.0 & IOT), 2021, : 407 - 411
  • [4] Predicting Pulmonary Function From the Analysis of Voice: A Machine Learning Approach
    Alam, Md. Zahangir
    Simonetti, Albino
    Brillantino, Raffaele
    Tayler, Nick
    Grainge, Chris
    Siribaddana, Pandula
    Nouraei, S. A. Reza
    Batchelor, James
    Rahman, M. Sohel
    Mancuzo, Eliane V.
    Holloway, John W.
    Holloway, Judith A.
    Rezwan, Faisal I.
    [J]. FRONTIERS IN DIGITAL HEALTH, 2022, 4
  • [5] Diagnosing Voice Disorder with Machine Learning
    Minh Pham
    Lin, Jing
    Zhang, Yanjia
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 5263 - 5266
  • [6] Stable reproducibility of turbulence dynamics by machine learning
    Matsumoto, Satoshi
    Inubushi, Masanobu
    Goto, Susumu
    [J]. Physical Review Fluids, 2024, 9 (10)
  • [7] Reproducibility standards for machine learning in the life sciences
    Heil, Benjamin J.
    Hoffman, Michael M.
    Markowetz, Florian
    Lee, Su-In
    Greene, Casey S.
    Hicks, Stephanie C.
    [J]. NATURE METHODS, 2021, 18 (10) : 1132 - 1135
  • [8] Reproducibility standards for machine learning in the life sciences
    Benjamin J. Heil
    Michael M. Hoffman
    Florian Markowetz
    Su-In Lee
    Casey S. Greene
    Stephanie C. Hicks
    [J]. Nature Methods, 2021, 18 : 1132 - 1135
  • [9] Reply: Improving Care for Patients with Interstitial Lung Disease, Using Machine Learning, Requires Transparency and Reproducibility
    Kennedy, Giulia C.
    Barth, Neil M.
    Walsh, P. Sean
    Huang, Jing
    Pankratz, Daniel G.
    Choi, Yoonha
    Fedorowicz, Grazyna M.
    Anderson, Jessica D.
    Raghu, Ganesh
    Martinez, Fernando J.
    Colby, Thomas V.
    Lynch, David A.
    Brown, Kevin K.
    Groshong, Steve D.
    Myers, Jeffrey L.
    Flaherty, Kevin R.
    Steele, Mark P.
    [J]. ANNALS OF THE AMERICAN THORACIC SOCIETY, 2017, 14 (12) : 1864 - +
  • [10] VOICE ANALYSIS REVISITED - REPLY
    BERKE, GS
    [J]. ARCHIVES OF OTOLARYNGOLOGY-HEAD & NECK SURGERY, 1989, 115 (09) : 1133 - 1134
12345