Daniel J. Schaid

Genetics · 2001–2018

A researcher in the Science corpus: 8 papers; trusts 22 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel J. Schaid trusts overall

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

  1. Bernhard Schölkopf
  2. Kai Wang
  3. Eric R. Ziegel
  4. Robert Tibshirani
  5. Alex Smola
  6. Christopher K. I. Williams
  7. Trevor J. Hastie
  8. Jerome H. Friedman
  9. Marti J. Anderson
  10. Hui Zou

Who trusts Daniel J. Schaid overall

  1. Motonobu Kanagawa
  2. Yu Nishiyama
  3. Frank Dudbridge
  4. Arthur Gretton
  5. Scott Vrieze
  6. Benjamin M. Neale
  7. Gao Wang
  8. Kenji Fukumizu
  9. Rasmus Nielsen
  10. Pak Chung Sham

Papers from Daniel J. Schaid's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Regression Shrinkage and Selection via the Lasso

Their papers