M. Delgado

Artificial Intelligence · with Barro · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom M. Delgado trusts overall

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

  1. Jerome H. Friedman
  2. Leo Breiman
  3. Max Kuhn
  4. J. Ross Quinlan
  5. Nicolai Meinshausen
  6. Robert Tibshirani
  7. Trevor J. Hastie
  8. Eric R. Ziegel
  9. Peter Filzmoser
  10. Chih-Jen Lin

Who trusts M. Delgado overall

  1. Momin M. Malik
  2. Laura Gustafson
  3. Chintan Parmar
  4. Le Zhang
  5. Lucas K. Mentch
  6. Andreas Henelius
  7. Philipp Probst
  8. Louis J. M. Aslett
  9. Jan Philip Göpfert
  10. Günter Klambauer

Papers from M. Delgado's perspective

Ordered by how strongly the researchers M. Delgado 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers