Ernest Yeboah Boateng

Media Technology · 2020

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 Ernest Yeboah Boateng trusts overall

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

  1. Ovidiu Ivanciuc
  2. Johan A. K. Suykens
  3. Björn Waske
  4. Bernhard E. Boser
  5. R. Dietrich
  6. Asa Ben-Hur
  7. Warick Brown
  8. Chih-Fong Tsai
  9. Victor Francisco Rodriguez-Galiano
  10. Vladimir Naumovich Vapnik

Papers from Ernest Yeboah Boateng's perspective

Ordered by how strongly the researchers Ernest Yeboah Boateng trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Nature of Statistical Learning Theory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. A training algorithm for optimal margin classifiers
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Going deeper with convolutions
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers