Shih-Wen Ke
Artificial Intelligence · 2015–2017
A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Computer Networks and Communications — 9 citations into it
Whom Shih-Wen Ke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anil K. Jain
- Taeshik Shon
- Ray R. Larson
- Latifur R. Khan
- Weiming Hu
- G. Wang
- Sandhya Peddabachigari
- Leo Breiman
- Ron Kohavi
- Thomas M. Cover
Who trusts Shih-Wen Ke overall
Papers from Shih-Wen Ke's perspective
Ordered by how strongly the researchers Shih-Wen Ke trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Nearest neighbor pattern classification
- Experiments with a New Boosting Algorithm
- Statistical Pattern Recognition: A Review (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- On Combining Classifiers
- Data clustering: a review
- A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering (Expert systems with applications)
- Introduction to Information Retrieval
- A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
- An introduction to ROC analysis
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
- CANN: An intrusion detection system based on combining cluster centers and nearest neighbors (2015) — 514 citations