Yi Luo

Radiology, Nuclear Medicine and Imaging · with Haken · 2017

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Luo trusts overall

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

  1. I. E. El Naqa
  2. El Naqa
  3. Volodymyr Mnih
  4. Individualized Treat
  5. Geoffrey E. Hinton
  6. Nitish Srivastava

Who trusts Yi Luo overall

  1. I. E. El Naqa
  2. Huan-Hsin Tseng

Papers from Yi Luo's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. Dropout: a simple way to prevent neural networks from overfitting
  3. Human-level control through deep reinforcement learning
  4. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  5. Deep Learning
  6. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
  7. The Nature of Statistical Learning Theory
  8. Gradient-based learning applied to document recognition
  9. ImageNet classification with deep convolutional neural networks
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers