José Hernandez-Orallo

Artificial Intelligence · 2002–2023

A researcher in the Science corpus: 9 papers; trusts 175 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom José Hernandez-Orallo trusts overall

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

  1. Ray J. Solomonoff
  2. Shane Legg
  3. David L. Dowe
  4. Leslie G. Valiant
  5. John R. Koza
  6. Geoff Sutcliffe
  7. Allen Newell
  8. Matthew V. Mahoney
  9. Jorma Rissanen
  10. Chris S. Wallace

Who trusts José Hernandez-Orallo overall

  1. Shane Legg
  2. Songül Tolan
  3. Sebastian Lapuschkin
  4. Joel Veness
  5. Annarosa Pesole
  6. François Chollet
  7. Marc G. Bellemare
  8. Shan Li
  9. Pei Wang
  10. Fernando Martínez-Plumed

Papers from José Hernandez-Orallo's perspective

Ordered by how strongly the researchers José Hernandez-Orallo 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers