Nicola Bougen-Zhukov

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nicola Bougen-Zhukov trusts overall

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

  1. David G. Lowe
  2. Jennifer Waters
  3. Michael V. Boland
  4. Petra S. Dittrich
  5. Pascal Vincent
  6. Trevor J. Hastie
  7. Kok Hao Chen
  8. Adi L. Tarca
  9. G. Fiquet
  10. Manfred K. Warmuth

Papers from Nicola Bougen-Zhukov's perspective

Ordered by how strongly the researchers Nicola Bougen-Zhukov trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. This PDF file includes: Materials and Methods
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers