Ron Wehrens

Statistics and Probability · 2000–2020

A researcher in the Science corpus: 6 papers; trusts 10 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom Ron Wehrens trusts overall

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

  1. Gary G. Yen
  2. William N. Venables
  3. Christoph Bergmeir
  4. Sarah C. Goslee
  5. B. D. Ripley
  6. Lutgarde M. C. Buydens
  7. José Manuel Benítez
  8. Bjørn-Helge Mevik
  9. Dean L. Urban
  10. Trevor J. Hastie

Who trusts Ron Wehrens overall

  1. Max Kuhn
  2. Christoph Bergmeir
  3. C. M. Andersen
  4. Hamid Babamoradi
  5. I. Mitra
  6. Nima Aghaeepour
  7. Aurélie Herbelot
  8. Johannes W. Kruisselbrink
  9. Stéphanie Bougeard
  10. Marco Baroni

Papers from Ron Wehrens's perspective

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

  1. The Elements of Statistical Learning
  2. Pattern Recognition and Neural Networks
  3. Modern Applied Statistics With S
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. A Statistical View of Some Chemometrics Regression Tools
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Rcpp: Seamless R and C++ Integration
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers