Hema Raghavan

Artificial Intelligence · 2005–2009

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Hema Raghavan trusts overall

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

  1. Fabrizio Sebastiani
  2. David A. Cohn
  3. Thorsten Joachims
  4. Simon Tong
  5. David D. Lewis
  6. Nick Littlestone
  7. James Allan
  8. Daphne Koller
  9. Greg Schohn
  10. J. Breese

Who trusts Hema Raghavan overall

  1. Burr Settles
  2. Omar Zaidan
  3. Shilpa Arora
  4. Jason Eisner
  5. Eric Nyberg
  6. Jeff Donahue
  7. John J. Dudley
  8. Biye Jiang

Papers from Hema Raghavan's perspective

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

  1. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  2. Transductive Inference for Text Classification using Support Vector Machines
  3. Support Vector Machine Active Learning with Applications to Text Classification
  4. Machine learning in automated text categorization
  5. ImageNet classification with deep convolutional neural networks
  6. Statistical Learning Theory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. GloVe: Global Vectors for Word Representation
  9. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers