Paula Carracedo-Reboredo

Computational and Structural Biotechnology Journal · 2021

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

Whom Paula Carracedo-Reboredo trusts overall

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

  1. C. Burges
  2. Alex Smola
  3. Bernhard Schölkopf
  4. Trevor J. Hastie
  5. Yvan Saeys
  6. Maria Batool
  7. Vladimir Naumovich Vapnik
  8. L. S. Moulin
  9. Franco Scarselli
  10. Steven M. Kearnes

Papers from Paula Carracedo-Reboredo's perspective

Ordered by how strongly the researchers Paula Carracedo-Reboredo 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. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Going deeper with convolutions
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers