I-Cheng Yeh

Expert systems with applications · 1998–2009

A researcher in the Science corpus: 5 papers; trusts 5 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Whom I-Cheng Yeh trusts overall

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

1. Lyn C. Thomas
2. David J. Hand
3. Tian-Shyug Lee
4. Bart Baesens
5. Chih-Chou Chiu
6. Richard P. Lippmann
7. Chi-Jie Lu

Who trusts I-Cheng Yeh overall

1. Jui-Sheng Chou
2. David Kristjanson Duvenaud
3. Dana Pessach
4. Dominik Janzing
5. Max Kuhn
6. B. Prasad
7. Christian Alexander Schäfer
8. Chih-Fong Tsai
9. Farzad Rezai Balf
10. Wojciech Samek

Papers from I-Cheng Yeh's perspective

Ordered by how strongly the researchers I-Cheng Yeh trusts endorse each paper. Same corpus, a different order for every researcher.

1. A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers
2. Credit scoring using the hybrid neural discriminant technique (Expert systems with applications)
3. Statistical Classification Methods in Consumer Credit Scoring: a Review
4. Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation
5. Benchmarking state-of-the-art classification algorithms for credit scoring (Journal of the Operational Research Society)
6. Data Mining - Concepts and Techniques (Künstliche Intell.)
7. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
8. Neural Networks: A Comprehensive Foundation
9. C4.5: Programs for Machine Learning
10. Can reject inference ever work

Their papers

• The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2009) — 1,019 citations
• Knowledge discovery on RFM model using Bernoulli sequence (2009) — 357 citations
• Modeling slump flow of concrete using second-order regressions and artificial neural networks (2007) — 333 citations
• Analysis of Strength of Concrete Using Design of Experiments and Neural Networks (2006) — 175 citations
• Modeling of strength of high-performance concrete using artificial neural networks (1998)