Lyndon Hiew

International Conference on Software Engineering · 2006

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Whom Lyndon Hiew trusts overall

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

  1. J. Ross Quinlan
  2. Audris Mockus
  3. Jason D. M. Rennie

Who trusts Lyndon Hiew overall

  1. James D. Herbsleb
  2. Kim Herzig
  3. Pieter Hooimeijer
  4. Sunghun Kim
  5. Westley Weimer
  6. Chengnian Sun
  7. Jaechang Nam
  8. Georgios Gousios
  9. Gaeul Jeong
  10. Nicolas Bettenburg

Papers from Lyndon Hiew's perspective

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

  1. C4.5: Programs for Machine Learning
  2. Expertise Browser: a quantitative approach to identifying expertise (Proceedings of the 24th International Conference on Software Engineering. ICSE 2002)
  3. Machine learning in automated text categorization
  4. Automated support for classifying software failure reports (25th International Conference on Software Engineering, 2003. Proceedings.)
  5. Tackling the Poor Assumptions of Naive Bayes Text Classifiers (International Conference on Machine Learning)
  6. Algorithms for Clustering Data
  7. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  8. A comparison of event models for naive bayes text classification
  9. A re-examination of text categorization methods
  10. Two case studies of open source software development: Apache and Mozilla (TSEM)

Their papers