共 50 条
- [32] Preface: Overcoming opacity in machine learning AISB Convention 2021: Communication and Conversations, 2021,
- [33] Unified virtual ADME/Tox using a hierarchy of machine learning models. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2002, 224 : U341 - U341
- [34] A story of the artificial ant: Discovering the correct bias for learning CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS, 2003, : 2777 - 2784
- [35] Women Also Snowboard: Overcoming Bias in Captioning Models COMPUTER VISION - ECCV 2018, PT III, 2018, 11207 : 793 - 811
- [36] Risk Identification Questionnaire for Detecting Unintended Bias in the Machine Learning Development Lifecycle AIES '21: PROCEEDINGS OF THE 2021 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY, 2021, : 704 - 714
- [38] Machine Learning: Discovering the Future of Medical Imaging Journal of Digital Imaging, 2017, 30 : 391 - 391
- [40] Predicting Prenatal Depression and Assessing Model Bias Using Machine Learning Models BIOLOGICAL PSYCHIATRY: GLOBAL OPEN SCIENCE, 2024, 4 (06):