Javier Andreu-Perez

Artificial Intelligence · with Yang · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Javier Andreu-Perez trusts overall

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

  1. Robert Tibshirani
  2. John A. Rogers
  3. Geoffrey E. Hinton
  4. Tsuyoshi Sekitani
  5. Albert Bifet
  6. Xu Li
  7. Ming-Zher Poh
  8. Guang-Zhong Yang
  9. Yoshua Bengio
  10. Takao Someya

Who trusts Javier Andreu-Perez overall

  1. Alfredo Vellido

Papers from Javier Andreu-Perez's perspective

Ordered by how strongly the researchers Javier Andreu-Perez trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Long Short-Term Memory
  4. Going deeper with convolutions
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Dropout: a simple way to prevent neural networks from overfitting
  9. Attention is All you Need (Neural Information Processing Systems)
  10. A Fast Learning Algorithm for Deep Belief Nets

Their papers