Nicole Mitchell

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Nicole Mitchell trusts overall

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

  1. Jorge E. Hirsch
  2. Lutz Bornmann
  3. Leo Egghe
  4. Hans-Dieter Daniel
  5. Karen Spärck Jones
  6. Shaul Oreg
  7. V. Venkatesh
  8. Mark Newman
  9. Marvin Minsky
  10. Fred D. Davis

Who trusts Nicole Mitchell overall

  1. Claire Fautsch
  2. Jacques Savoy
  3. John S. Liu
  4. R. Rousseau
  5. Jorge E. Hirsch
  6. Advaith Siddharthan
  7. Michael A. Casey

Papers from Nicole Mitchell's perspective

Ordered by how strongly the researchers Nicole Mitchell 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. An index to quantify an individual's scientific research output (Proc. Natl. Acad. Sci. USA)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Does the h index have predictive power? (Proceedings of the National Academy of Sciences of the United States of America)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers