Could machine learning fuel a reproducibility crisis in science?

被引：0
|
作者：
Elizabeth Gibney
机构：
来源：
Nature | 2022年 / 608卷
关键词：
Machine learning; Publishing; Mathematics and computing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
‘Data leakage’ threatens the reliability of machine-learning use across disciplines, researchers warn.
引用
收藏
页码：250 / 251
页数：1
相关论文
共 50 条
  • [41] Machine learning in materials science
    Wei, Jing
    Chu, Xuan
    Sun, Xiang-Yu
    Xu, Kun
    Deng, Hui-Xiong
    Chen, Jigen
    Wei, Zhongming
    Lei, Ming
    INFOMAT, 2019, 1 (03) : 338 - 358
  • [42] Machine learning for science and society
    Rudin, Cynthia
    Wagstaff, Kiri L.
    MACHINE LEARNING, 2014, 95 (01) : 1 - 9
  • [43] The changing science of machine learning
    Langley, Pat
    MACHINE LEARNING, 2011, 82 (03) : 275 - 279
  • [44] Science in the age of machine learning
    Ourmazd, Abbas
    NATURE REVIEWS PHYSICS, 2020, 2 (07) : 342 - 343
  • [45] Machine learning for science and society
    Cynthia Rudin
    Kiri L. Wagstaff
    Machine Learning, 2014, 95 : 1 - 9
  • [46] A Guide to Computational Reproducibility in Signal Processing and Machine Learning
    Shenouda, Joseph
    Bajwa, Waheed U.
    arXiv, 2021,
  • [47] Artificial intelligence, machine learning, and reproducibility in stroke research
    Romoli, Michele
    Caliandro, Pietro
    EUROPEAN STROKE JOURNAL, 2024, 9 (03) : 518 - 520
  • [48] A Guide to Computational Reproducibility in Signal Processing and Machine Learning
    Shenouda, Joseph
    Bajwa, Waheed U.
    IEEE SIGNAL PROCESSING MAGAZINE, 2023, 40 (02) : 141 - +
  • [49] Achieving Reproducibility in EEG-Based Machine Learning
    Kinahan, Sean
    Saidi, Pouria
    Daliri, Ayoub
    Liss, Julie
    Berisha, Visar
    PROCEEDINGS OF THE 2024 ACM CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, ACM FACCT 2024, 2024, : 1464 - 1474
  • [50] Reproducibility, Transparency and Evaluation of Machine Learning in Health Applications
    Wojtusiak, Janusz
    HEALTHINF: PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES - VOL. 5: HEALTHINF, 2021, : 685 - 692
12345