Qinghua Guo

Nature and Landscape Conservation · 2005–2017

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Qinghua Guo trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Thorsten Joachims
  3. Antoine Guisan
  4. David Martinus Johannes Tax
  5. A. Jiménez‐Valverde
  6. Giles M. Foody
  7. A. Zaniewski
  8. Bernhard Schölkopf
  9. Jane Elith
  10. Robert P. W. Duin

Who trusts Qinghua Guo overall

  1. Jane Elith
  2. Canran Liu
  3. Jorge Soberón
  4. J. Pearce
  5. Renguang Zuo
  6. Qi Chen
  7. G. Newell
  8. Renqiang Li
  9. Patrick Schratz
  10. Mauro Enrique de Souza Muñoz

Papers from Qinghua Guo's perspective

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

  1. The Nature of Statistical Learning Theory
  2. ImageNet classification with deep convolutional neural networks
  3. Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Estimating the Support of a High-Dimensional Distribution
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Comparing five modelling techniques for predicting forest characteristics
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Text Categorization with Support Vector Machines: Learning with Many Relevant Features

Their papers