Randall Eubank

Statistics and Probability · 2004–2015

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Randall Eubank trusts overall

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

  1. Saad T. Bakir
  2. Grace Wahba
  3. Leo Breiman
  4. G. He
  5. Francis R. Bach
  6. Naisyin Wang
  7. Jerome H. Friedman
  8. David Ruppert
  9. Michael I. Jordan
  10. H. Muller

Who trusts Randall Eubank overall

  1. Kyunghee Han
  2. Jianhua Z. Huang
  3. H. Muller
  4. Jane-ling Wang
  5. Haipeng Shen
  6. T. Hsing
  7. Iosif Pinelis
  8. Byeong U. Park
  9. Degui Li

Papers from Randall Eubank's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Spline Models for Observational Data
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers