Feature Stability Analysis
Feature Stability Analysis is a methodological framework within feature engineering that evaluates the consistency of feature values across varying datasets or temporal intervals to assess their reliability and robustness for model generalization.
72
Publications
4.7K
Citations
197
Authors
114
Institutions
Publications per year
2017–2026
33
72
Consensus features nested cross-validation
Saeid Parvandeh, Hung‐Wen Yeh, Martin P. Paulus et al. · Bioinformatics · 2020 · 219 citations · Full text
1–5 of 72
197
8
h-index
7
h-index
5
h-index
4
h-index
3
h-index
1–5 of 197
114
Florida Atlantic University
Boca Raton, United States
8 h-index
23 publications
543 citations
Western Kentucky University
Bowling Green, United States
5 h-index
5 publications
104 citations

University of Cagliari
Cagliari, Italy
3 h-index
5 publications
605 citations

Sorbonne Université
Paris, France
2 h-index
2 publications
131 citations
Czech Academy of Sciences, Institute of Information Theory and Automation
Prague, Czechia
2 h-index
3 publications
266 citations
The University of Texas at Arlington
Arlington, United States
2 h-index
2 publications
320 citations
Yale University
New Haven, United States
2 h-index
7 publications
573 citations

Prague University of Economics and Business
Prague, Czechia
2 h-index
2 publications
256 citations
1–8 of 114
Repository · 3 publications · 71 citations
3
h-index
2 publications · 90 citations
2
h-index
2 publications · 109 citations
2
h-index
2 publications · 249 citations
2
h-index
2 publications · 52 citations
2
h-index
1–5