Feng Shen
Accounting · with Kou · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Accounting — 16 citations into it
- Economics and Econometrics — 6 citations into it
Whom Feng Shen trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter J. Rousseeuw (in Evaluation & Benchmarks)
- N. Siddiqi (in Accounting)
Papers from Feng Shen's perspective
Ordered by how strongly the researchers Feng Shen trusts endorse each paper. Same corpus, a different order for every researcher.
- Can reject inference ever work
- Random Forests
- Statistical Classification Methods in Consumer Credit Scoring: a Review
- Statistical Analysis With Missing Data
- Support-Vector Networks
- Does reject inference really improve the performance of application scoring models
- Semi-supervised Clustering by Seeding (International Conference on Machine Learning)
- Credit Scoring and Its Applications (SIAM monographs on mathematical modeling and computation)
- Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
- An experimental comparison of classification algorithms for imbalanced credit scoring data sets (Expert systems with applications)