Su-Wen Huang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Su-Wen Huang trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Mark R. Segal
  3. Ian T. Jolliffe
  4. James A. Hanley
  5. Andy Liaw
  6. Ramón Díaz-Uriarte

Papers from Su-Wen Huang's perspective

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

  1. The Nature of Statistical Learning Theory
  2. The meaning and use of the area under a receiver operating characteristic (ROC) curve.
  3. Analyzing earthquake clustering features by using stochastic reconstruction
  4. Gene Selection for Cancer Classification using Support Vector Machines
  5. Selection of Relevant Features and Examples in Machine Learning
  6. A k-nearest neighbor based algorithm for multi-label classification (IEEE International Conference on Granular Computing)
  7. k-Nearest Neighbour Classifiers
  8. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression
  9. Classification and Regression by randomForest
  10. So Many Variables: Joint Modeling in Community Ecology. (Trends in Ecology & Evolution)

Their papers