Y. van de Burgt

Electrical and Electronic Engineering · 2018

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

Subfields

Whom Y. van de Burgt trusts overall

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

  1. David E. Rumelhart
  2. J. Joshua Yang
  3. Duygu Kuzum
  4. Geoffrey E. Hinton
  5. Dmitri B. Strukov
  6. Doo Seok Jeong
  7. Alex Chortos
  8. Paul A. Merolla
  9. Shimeng Yu
  10. Fabien Alibart

Papers from Y. van de Burgt's perspective

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

  1. A Fast Learning Algorithm for Deep Belief Nets
  2. Deep Learning
  3. Learning representations by back-propagating errors
  4. Neuromorphic Silicon Neuron Circuits
  5. ImageNet classification with deep convolutional neural networks
  6. A million spiking-neuron integrated circuit with a scalable communication network and interface
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Gradient-based learning applied to document recognition
  9. Memristive devices for computing. (Nature Nanotechnology)
  10. Training and operation of an integrated neuromorphic network based on metal-oxide memristors (Nature)

Their papers