S. Liu

Computational Theory and Mathematics · with Zhao · 2012

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Liu trusts

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

  1. David Ruppert (in Evaluation & Benchmarks)
  2. Ovidiu Ivanciuc (in Analytical Chemistry)
  3. Klaus Nordhausen (in Artificial Intelligence)

Papers from S. Liu's perspective

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

  1. An introduction to ROC analysis
  2. ADMET in silico modelling: towards prediction paradise? (Nature reviews. Drug discovery)
  3. Applications of Support Vector Machines in Chemistry
  4. Derivation and validation of toxicophores for mutagenicity prediction.
  5. Classification of small molecules by two- and three-dimensional decomposition kernels
  6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie, Robert Tibshirani, Jerome Friedman
  7. Introduction to Support Vector Machines
  8. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  9. A fast iterative nearest point algorithm for support vector machine classifier design (IEEE Trans. Neural Networks Learn. Syst.)
  10. The Nature of Statistical Learning Theory

Their papers