José Juan Almagro Armenteros

Molecular Biology · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom José Juan Almagro Armenteros trusts overall

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

  1. Jan Gorodkin
  2. Steven Henikoff
  3. Weizhong Li
  4. Chin-Sheng Yu
  5. Jorja G. Henikoff
  6. Adam Godzik
  7. Yoshua Bengio
  8. Sepp Hochreiter
  9. Geoffrey E. Hinton
  10. Yann LeCun

Who trusts José Juan Almagro Armenteros overall

  1. Michael Heinzinger
  2. Ahmed Elnaggar
  3. Christian Dallago

Papers from José Juan Almagro Armenteros's perspective

Ordered by how strongly the researchers José Juan Almagro Armenteros trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. This PDF file includes: Materials and Methods
  6. Gradient-based learning applied to document recognition
  7. Understanding the difficulty of training deep feedforward neural networks
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers