Cristina Molero-Río

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 5 papers; trusts 72 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Cristina Molero-Río trusts overall

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

  1. Emilio Carrizosa
  2. Trevor J. Hastie
  3. Jack Dunn
  4. Rafael Blanquero
  5. Wei-Yin Loh
  6. Leo Breiman
  7. J. Ross Quinlan
  8. Jerome H. Friedman
  9. Houtao Deng
  10. Robert Tibshirani

Who trusts Cristina Molero-Río overall

  1. Emilio Carrizosa
  2. Vinícius G. Costa
  3. Sicco Verwer
  4. Carlos Eduardo Pedreira
  5. Dolores Romero Morales
  6. Rafael Blanquero
  7. Yingqian Zhang

Papers from Cristina Molero-Río's perspective

Ordered by how strongly the researchers Cristina Molero-Río trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Random Forests
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Regression Shrinkage and Selection via the Lasso
  10. Learning Multiple Layers of Features from Tiny Images

Their papers