José G. M. Esgario

Plant Science · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom José G. M. Esgario trusts overall

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

  1. J. G. Arnal Barbedo
  2. Hiroshi Inoue
  3. L. V. D. van der Maaten
  4. Yu Zhang
  5. Geoffrey E. Hinton
  6. Sharada Prasanna Mohanty
  7. David P. Hughes
  8. Alvaro Fuentes
  9. Qiang Yang
  10. J. Pretty

Papers from José G. M. Esgario's perspective

Ordered by how strongly the researchers José G. M. Esgario trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Going deeper with convolutions
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers