Christopher Krauss

Finance · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 67 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Christopher Krauss trusts overall

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

  1. Nicolas Huck
  2. Lingfang Hu
  3. P. Giot
  4. Robert E. Schapire
  5. Jerome H. Friedman
  6. Lauren H. Cohen
  7. Matthew D. Zeiler
  8. Narasimhan Jegadeesh
  9. Trevor J. Hastie
  10. James Franklin

Who trusts Christopher Krauss overall

  1. Omer Berat Sezer
  2. Thomas G. Fischer
  3. A. Ozbayoglu
  4. M. Ugur Gudelek
  5. Sima Siami‐Namini
  6. Weiwei Jiang
  7. Sami ben Jabeur
  8. Alexander Deinert
  9. Mathias Kraus
  10. Anastasia Borovykh

Papers from Christopher Krauss's perspective

Ordered by how strongly the researchers Christopher Krauss 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers