Ying Ju

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Ju trusts overall

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

  1. Ron Kohavi

Papers from Ying Ju's perspective

Ordered by how strongly the researchers Ying Ju trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Random Forests
  2. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  3. Induction of decision trees
  4. Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk Factors
  5. An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease (Digit. Signal Process.)
  6. Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap (Computational Statistics & Data Analysis)
  7. C4.5: Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993
  8. Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid
  9. A tutorial on Principal Components Analysis
  10. Diagnosis and Classification of Diabetes Mellitus (Diabetes Care)

Their papers