H. M.

Artificial Intelligence · with M.N · 2015

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom H. M. trusts overall

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

  1. Nitesh V. Chawla
  2. Foster J. Provost
  3. David J. Hand
  4. Jin Huang
  5. Pedro M. Domingos
  6. Robert J. Till
  7. Charles X. F. Ling
  8. Tom Fawcett
  9. Nathalie Japkowicz
  10. David John Cameron MacKay

Who trusts H. M. overall

  1. Yangjun Zhang
  2. Pengjie Ren
  3. Maarten de Rijke
  4. Reda Yacouby
  5. Azal Ahmad Khan

Papers from H. M.'s perspective

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

  1. A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
  2. The use of the area under the ROC curve in the evaluation of machine learning algorithms
  3. Tree Induction for Probability-Based Ranking
  4. An introduction to ROC analysis
  5. The relationship between Precision-Recall and ROC curves
  6. Information Theory, Inference, and Learning Algorithms
  7. UCI Repository of machine learning databases
  8. MetaCost: a general method for making classifiers cost-sensitive
  9. Robust Classification for Imprecise Environments
  10. Using AUC and accuracy in evaluating learning algorithms (IEEE Transactions on Knowledge and Data Engineering)

Their papers