Scott Cost

2004

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 19 researchers here, as inferred from the citation graph.

Whom Scott Cost trusts overall

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

  1. Steven L. Salzberg
  2. W. Kabsch
  3. David E. Rumelhart
  4. David William Aha
  5. Thomas M. Cover
  6. Martin Karplus
  7. Geoffrey E. Hinton

Who trusts Scott Cost overall

  1. Nitesh V. Chawla
  2. Pedro M. Domingos
  3. Richard Maclin
  4. David A. Cieslak
  5. Miquel Montaner
  6. Eugene Tuv
  7. Yury Malkov
  8. Kevin W. Bowyer
  9. Jude W. Shavlik
  10. L. Hall

Papers from Scott Cost's perspective

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

  1. Learning representations by back-propagating errors
  2. Nearest neighbor pattern classification
  3. A Nearest Hyperrectangle Learning Method
  4. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
  5. Learning representations by back-propagation errors, nature
  6. Predicting the secondary structure of globular proteins using neural network models.
  7. Comparison of the predicted and observed secondary structure of T4 phage lysozyme.
  8. Protein secondary structure prediction with a neural network.
  9. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
  10. Prediction of the secondary structure of proteins from their amino acid sequence.

Their papers