Yingxiang Huang

J. Am. Medical Informatics Assoc. · 2020

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

Whom Yingxiang Huang trusts overall

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

  1. J. Platt
  2. Elizabeth A. Freeman
  3. Andrew A. Kramer
  4. David W. Hosmer Jr.
  5. Ewout W. Steyerberg
  6. David E. Heckerman
  7. Mahdi Pakdaman Naeini
  8. Meelis Kull
  9. Colin G. Walsh
  10. Gretchen G. Moisen

Papers from Yingxiang Huang's perspective

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

  1. Predicting good probabilities with supervised learning
  2. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
  3. Applied Logistic Regression: Hosmer/Applied Logistic Regression
  4. On Calibration of Modern Neural Networks
  5. Learning Bayesian networks: The combination of knowledge and statistical data
  6. Obtaining Well Calibrated Probabilities Using Bayesian Binning
  7. VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
  8. A Simple Baseline for Bayesian Uncertainty in Deep Learning
  9. Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers
  10. PresenceAbsence: An R Package for Presence Absence Analysis

Their papers