Tian-Shyug Lee

Artificial Intelligence · 2002–2009

A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #8,066 of 35,345 by trust here, #12,580 by citations
• Management Science and Operations Research — 12 citations into it
• Accounting — 11 citations into it; #1,839 of 8,970 by trust here, #3,651 by citations
• Model Architectures — 11 citations into it
• Statistical Learning Theory — 10 citations into it
• Statistics and Probability — 10 citations into it
• Analytical Chemistry — 7 citations into it; #612 of 1,254 by trust here, #515 by citations
• Scaling & Learning Theory — 6 citations into it

Whom Tian-Shyug Lee trusts overall

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

1. Lyn C. Thomas
2. Vladimir Naumovich Vapnik
3. David West
4. Aapo Hyvärinen
5. R. Fisher
6. Richard P. Lippmann
7. Vladimir Naumovich Vapni
8. Trevor J. Hastie
9. Lijuan Cao
10. Kurt Hornik

Who trusts Tian-Shyug Lee overall

1. Arash Bahrammirzaee
2. Hussein A. Abdou
3. Francisco Louzada
4. Show-Jane Yen
5. John Pointon
6. Anderson Ara
7. I-Cheng Yeh
8. Jae H. Min
9. Jonathan N. Crook
10. Yongqiao Wang

Papers from Tian-Shyug Lee's perspective

Ordered by how strongly the researchers Tian-Shyug Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neural Networks: A Comprehensive Foundation
2. Statistical learning theory
3. The Nature of Statistical Learning Theory
4. Gradient-based learning applied to document recognition
5. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
6. Independent Component Analysis
7. ImageNet classification with deep convolutional neural networks
8. The Nature of Statistical Learning
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers

Their papers

• Financial time series forecasting using independent component analysis and support vector regression (2009) — 547 citations
• Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2006) — 392 citations
• A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005) — 414 citations
• Credit scoring using the hybrid neural discriminant technique (2002) — 389 citations