Leakage Troubleshooting is a methodological contribution within leakage prevention that systematically identifies, analyzes, and rectifies sources of data leakage in machine learning pipelines to ensure valid evaluation of model performance.
3
Publications
119
Citations
22
Authors
12
Institutions
Publications per year
2017–2026
2
Parents
Publications
3
Patching the Leaks: Revitalizing and Reimagining the STEM Pipeline
Antentor Hinton, Christina M. Termini, Elsie C. Spencer et al. · Cell · 2020 · 91 citations · Full text
Life Sciences, Biomedical Engineering, Stem Cell Biology +11
Detection of District Heating Pipe Network Leakage Fault Using UCB Arm Selection Method
Yachen Shen, Jianping Chen, Qiming Fu et al. · Buildings · 2021 · 16 citations · Full text
Plugging the leaks in the scientific workforce
Anne Preston · 2004 · 12 citations
1–3 of 3
Authors
22
- AG
1
h-index
- CB
1
h-index
- DR
1
h-index
- ZV
1
h-index
- EC
1
h-index
1–5 of 22
Institutions
12
Winston-Salem State University
Winston-Salem, United States
1 h-index
1 publications
91 citations
University of Iowa
Iowa City, United States
1 h-index
3 publications
273 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
1 publications
91 citations
University of California, San Francisco
San Francisco, United States
1 h-index
1 publications
91 citations
Princeton University
Princeton, United States
1 h-index
1 publications
91 citations
Vanderbilt University
Nashville, United States
1 h-index
1 publications
91 citations
Columbia University
New York, United States
1 h-index
1 publications
91 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
2 publications
182 citations
1–8 of 12