Hua Tang

Artificial Intelligence · with Chen · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hua Tang trusts overall

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

  1. Chih-Jen Lin
  2. Ron Kohavi

Papers from Hua Tang's perspective

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

  1. LIBSVM: A library for support vector machines
  2. Random Forests
  3. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  4. Classification and Regression by randomForest
  5. Induction of decision trees
  6. iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition (Nucleic Acids Research)
  7. An assessment of neural network and statistical approaches for prediction of E. coli promoter sites.
  8. Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk Factors
  9. An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease (Digit. Signal Process.)
  10. Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap (Computational Statistics & Data Analysis)

Their papers