Fannia Pacheco

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fannia Pacheco trusts overall

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

  1. Tom Fawcett
  2. Marco Sandri
  3. Jonathan J. Davis
  4. Girish Chandrashekar
  5. Laura Elena Raileanu
  6. Xiaofei He
  7. Andrew William Moore
  8. Monowar Hussain Bhuyan
  9. Viktor Losing
  10. Jun Zhang

Who trusts Fannia Pacheco overall

  1. JingJing Wang

Papers from Fannia Pacheco's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Going deeper with convolutions
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers