Keqin Li

Accounting · with Hu · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Keqin Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. N. Siddiqi
  2. Peter J. Rousseeuw
  3. David J. Hand
  4. Jonathan N. Crook

Papers from Keqin Li's perspective

Ordered by how strongly the researchers Keqin Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Can reject inference ever work
  2. Random Forests
  3. Statistical Classification Methods in Consumer Credit Scoring: a Review
  4. Statistical Analysis With Missing Data
  5. Support-Vector Networks
  6. Does reject inference really improve the performance of application scoring models
  7. Semi-supervised Clustering by Seeding (International Conference on Machine Learning)
  8. Credit Scoring and Its Applications (SIAM monographs on mathematical modeling and computation)
  9. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
  10. The Credit Scoring Toolkit: Theory and Practice for Retail Credit Risk Management and Decision Automation

Their papers