Tyr Wiesner-Hanks

Plant Science · 2017

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

Subfields

Whom Tyr Wiesner-Hanks trusts overall

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

  1. J. G. Arnal Barbedo
  2. Kaiming He

Who trusts Tyr Wiesner-Hanks overall

  1. Yu Jiang

Papers from Tyr Wiesner-Hanks's perspective

Ordered by how strongly the researchers Tyr Wiesner-Hanks trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  2. Deep Learning
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Machine Learning for High-Throughput Stress Phenotyping in Plants. (Trends in Plant Science)
  6. Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
  7. Using Deep Learning for Image-Based Plant Disease Detection
  8. Going deeper with convolutions
  9. The iPlant Collaborative: Cyberinfrastructure for Plant Biology
  10. Genes for resistance to northern corn leaf blight in diverse maize populations.

Their papers