R. Poppi

Analytical Chemistry · 2007–2021

A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom R. Poppi trusts overall

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

  1. Chih-Jen Lin
  2. Roman M. Balabin

Papers from R. Poppi's perspective

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

  1. Statistical Learning Theory
  2. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
  3. Genetic Algorithms in Search Optimization and Machine Learning
  4. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  5. Comparing support vector machines to PLS for spectral regression applications
  6. Multivariate calibration. (Journal of Chromatography A)
  7. Practical guide to interpretive near-infrared spectroscopy
  8. Comparison of linear and nonlinear calibration models based on near infrared (NIR) spectroscopy data for gasoline properties prediction
  9. Feasibility study on the use of Fourier transform near-infrared spectroscopy together with chemometrics to discriminate and quantify adulteration in cocoa beans
  10. Near-infrared (NIR) spectroscopy for motor oil classification: From discriminant analysis to support vector machines

Their papers