Liang Shang

Analytical Chemistry · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Shang trusts overall

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

  1. C. Burges
  2. Chih-Jen Lin
  3. Vladimir Cherkassky

Papers from Liang Shang's perspective

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

  1. A Tutorial on Support Vector Machines for Pattern Recognition
  2. LIBSVM: A library for support vector machines
  3. SVMTorch: Support Vector Machines for Large-Scale Regression Problems (Journal of machine learning research)
  4. A method for calibration and validation subset partitioning. (Talanta: The International Journal of Pure and Applied Analytical Chemistry)
  5. Support vector machine classification and validation of cancer tissue samples using microarray expression data (Bioinform.)
  6. Variable selection for partial least squares analysis of soluble solids content in watermelon using near-infrared diffuse transmission technique
  7. Integrated spectral and image analysis of hyperspectral scattering data for prediction of apple fruit firmness and soluble solids content
  8. A general regression neural network
  9. DIELECTRIC PROPERTIES OF DEHYDRATED APPLES AS AFFECTED BY MOISTURE AND TEMPERATURE
  10. Nondestructive measurement of soluble solid content of navel orange fruit by visible-NIR spectrometric technique with PLSR and PCA-BPNN.

Their papers