P. Burnap

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 7 papers; trusts 36 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom P. Burnap trusts overall

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

  1. Mike Thelwall
  2. Marie-Catherine de Marneffe
  3. Karthik Dinakar
  4. Trevor J. Hastie
  5. Alan F. Smeaton
  6. Kevan Buckley
  7. Ying Chen
  8. Bill MacCartney
  9. Jiang Yang
  10. Quoc V. Le

Who trusts P. Burnap overall

  1. Anna Schmidt
  2. Ziqi Zhang
  3. Shervin Malmasi
  4. Marcos Zampieri
  5. Paula Fortuna
  6. Michael Wiegand
  7. David Robinson
  8. Rijul Magu
  9. Bertie Vidgen
  10. Matthew Leighton Williams

Papers from P. Burnap's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers