Frank Liebisch

Plant Science · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Frank Liebisch trusts overall

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

  1. Samuel Trachsel
  2. J. Benjamin
  3. Achim Walter
  4. Andreas Hund
  5. Jan Behmann
  6. David John Cameron MacKay
  7. Eric R. Ziegel
  8. Nathalie Bréda
  9. Anton Hartmann
  10. R. Messmer

Who trusts Frank Liebisch overall

  1. Anne-Katrin Mahlein

Papers from Frank Liebisch's perspective

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

  1. ImageNet Large Scale Visual Recognition Challenge
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. The Elements of Statistical Learning
  8. Random Forests
  9. Shovelomics: high throughput phenotyping of maize (Zea mays L.) root architecture in the field (Plant and Soil)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers