Lionel Tarassenko

Artificial Intelligence · 1993–2018

A researcher in the Science corpus: 9 papers; trusts 22 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Lionel Tarassenko trusts overall

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

  1. Lawrence R. Rabiner
  2. Shunzheng Yu
  3. Ming-Zher Poh
  4. Yoshua Bengio
  5. Radford M. Neal
  6. Dit-Yan Yeung
  7. Christopher Krügel
  8. Emanuel Parzen
  9. Juan Pablo Martínez
  10. Geoffrey E. Hinton

Who trusts Lionel Tarassenko overall

  1. Xin Liu
  2. Wenjin Wang
  3. Tharindu Fernando
  4. Eric T. Nalisnick
  5. Naeem Ramzan
  6. Byung S. Kim

Papers from Lionel Tarassenko's perspective

Ordered by how strongly the researchers Lionel Tarassenko 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers