A. van Schaik

Electrical and Electronic Engineering · 2007–2017

A researcher in the Science corpus: 6 papers; trusts 20 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom A. van Schaik trusts overall

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

  1. Teuvo Kohonen
  2. G. Huang
  3. Nan-Ying Liang
  4. Qin-Yu Zhu
  5. Patrick Grother
  6. Kwabena A. Boahen
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Chee Kheong Siew
  10. Garrick Orchard

Who trusts A. van Schaik overall

  1. Gregory Cohen
  2. Jonathan C. Tapson
  3. Saeed Afshar
  4. Nikola K. Kasabov
  5. Alexander Rainer Tassilo Gepperth
  6. Peter Sorrenson
  7. Garrick Orchard
  8. Peter Kairouz
  9. Wenpeng Hu
  10. Tzu-Ming Harry Hsu

Papers from A. van Schaik's perspective

Ordered by how strongly the researchers A. van Schaik trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. Learning Multiple Layers of Features from Tiny Images
  3. ImageNet classification with deep convolutional neural networks
  4. Reading Digits in Natural Images with Unsupervised Feature Learning
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. An Analysis of Single-Layer Networks in Unsupervised Feature Learning
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers