Vanathi Gopalakrishnan

2006

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Vanathi Gopalakrishnan trusts

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

  1. Fernando C Pereira (in Natural Language Processing)
  2. Fei Sha (in Natural Language Processing)

Who trusts Vanathi Gopalakrishnan

  1. Charles Sutton (in Molecular Biology)
  2. Andrew McCallum (in Molecular Biology)

Papers from Vanathi Gopalakrishnan's perspective

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

  1. Shallow Parsing with Conditional Random Fields
  2. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
  3. Protein secondary structure prediction based on position-specific scoring matrices.
  4. HMMSTR: a hidden Markov model for local sequence-structure correlations in proteins. (Journal of Molecular Biology)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Long Short-Term Memory
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers