James Large

Signal Processing · 2016–2021

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom James Large trusts overall

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

  1. Jaka Demsar
  2. Eamonn J. Keogh
  3. Anthony J. Bagnall
  4. Marco Cuturi
  5. Leo Breiman
  6. Alessio Benavoli
  7. Jason Lines
  8. Salvador Garcia
  9. Chao Zhang
  10. Chotirat (Ann) Ratanamahatana

Who trusts James Large overall

  1. Angus Dempster

Papers from James Large's perspective

Ordered by how strongly the researchers James Large 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. Long Short-Term Memory
  4. Going deeper with convolutions
  5. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Bagging Predictors
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Random Forests

Their papers