Min-Wei Huang

SpringerPlus · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Min-Wei Huang trusts overall

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

1. Leo Breiman
2. Ron Kohavi
3. Ray R. Larson
4. Il-Seok Oh
5. Hyun-Chul Kim
6. Thomas M. Cover
7. Anil K. Jain
8. Tom Fawcett
9. Robert E. Schapire
10. Jin-Seon Lee

Papers from Min-Wei Huang's perspective

Ordered by how strongly the researchers Min-Wei Huang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bagging Predictors
2. Experiments with a New Boosting Algorithm
3. Nearest neighbor pattern classification
4. On Combining Classifiers
5. Statistical Pattern Recognition: A Review (IEEE Transactions on Pattern Analysis and Machine Intelligence)
6. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
7. An introduction to ROC analysis
8. Introduction to Information Retrieval
9. Design and evolution of modular neural network architectures
10. Constructing support vector machine ensemble (Pattern Recognition)

Their papers

• SVM and SVM Ensembles in Breast Cancer Prediction (2017) — 304 citations
• The distance function effect on k-nearest neighbor classification for medical datasets (2016) — 429 citations