Soo-Young Kim

with Upneja · 2014–2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Whom Soo-Young Kim trusts overall

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

1. Edward I. Altman
2. J. Ross Quinlan
3. Leo Breiman
4. Yoav Freund
5. P. Ravi Kumar
6. Sofie Balcaen

Who trusts Soo-Young Kim overall

1. Jie Sun
2. Hui Li
3. Qinghua Huang

Papers from Soo-Young Kim's perspective

Ordered by how strongly the researchers Soo-Young Kim trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bagging Predictors
2. A decision-theoretic generalization of on-line learning and an application to boosting
3. The Strength of Weak Learnability
4. The Nature of Statistical Learning Theory
5. C4.5: Programs for Machine Learning
6. Neural Networks for Pattern Recognition
7. Special Invited Paper-Additive logistic regression: A statistical view of boosting
8. Boosting the margin: A new explanation for the effectiveness of voting methods
9. Statistical learning theory
10. UCI Repository of machine learning databases

Their papers

• Majority voting ensemble with a decision trees for business failure prediction during economic downturns (2021) — 55 citations
• Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models (2014) — 195 citations