Moving towards reproducible machine learning

被引:0
|
作者
机构
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
We provide some recommendations on how to report machine learning-based research in order to improve transparency and reproducibility.
引用
收藏
页码:629 / 630
页数:1
相关论文
共 50 条
  • [1] Moving towards reproducible machine learning
    不详
    [J]. NATURE COMPUTATIONAL SCIENCE, 2021, 1 (10): : 629 - 630
  • [2] Towards Reproducible Machine Learning Research in Information Retrieval
    Lucic, Ana
    Bleeker, Maurits
    de Rijke, Maarten
    Sinha, Koustuv
    Jullien, Sami
    Stojnic, Robert
    [J]. PROCEEDINGS OF THE 45TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '22), 2022, : 3459 - 3461
  • [3] Towards Training Reproducible Deep Learning Models
    Chen, Boyuan
    Wen, Mingzhi
    Shi, Yong
    Lin, Dayi
    Rajbahadur, Gopi Krishnan
    Jiang, Zhen Ming
    [J]. 2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2022), 2022, : 2202 - 2214
  • [4] A critical moment in machine learning in medicine: on reproducible and interpretable learning
    Ciobanu-Caraus, Olga
    Aicher, Anatol
    Kernbach, Julius M.
    Regli, Luca
    Serra, Carlo
    Staartjes, Victor E.
    [J]. ACTA NEUROCHIRURGICA, 2024, 166 (01)
  • [5] Functional Validation of Supervised Learning Tasks for Reproducible Machine Learning
    Patel, Ayush
    Aygun, Ramazan
    [J]. 18TH IEEE INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING, ICSC 2024, 2024, : 164 - 167
  • [6] A critical moment in machine learning in medicine: on reproducible and interpretable learning
    Olga Ciobanu-Caraus
    Anatol Aicher
    Julius M. Kernbach
    Luca Regli
    Carlo Serra
    Victor E. Staartjes
    [J]. Acta Neurochirurgica, 166
  • [7] Silterra moving towards learning organization
    Lin, A
    Murugappan, S
    [J]. 2002 IEEE INTERNATIONAL CONFERENCE ON SEMICONDUCTOR ELECTRONICS, PROCEEDINGS, 2002, : 46 - 52
  • [8] Moving towards accurate and early prediction of language delay with network science and machine learning approaches
    Arielle Borovsky
    Donna Thal
    Laurence B. Leonard
    [J]. Scientific Reports, 11
  • [9] Moving towards a unified classification of glioblastomas utilizing artificial intelligence and deep machine learning integration
    Hill, Ciaran Scott
    Pandit, Anand S.
    [J]. FRONTIERS IN ONCOLOGY, 2023, 13
  • [10] Moving towards accurate and early prediction of language delay with network science and machine learning approaches
    Borovsky, Arielle
    Thal, Donna
    Leonard, Laurence B.
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01)