Forrest Bice

Computer Vision and Pattern Recognition · 2011–2014

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Forrest Bice trusts

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

  1. Eric R. Ziegel (in Statistics and Probability)
  2. Chih-Jen Lin (in Artificial Intelligence)

Papers from Forrest Bice's perspective

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

  1. Test Case Prioritization: A Family of Empirical Studies (IEEE Trans. Software Eng.)
  2. Support-Vector Networks
  3. Toolkit to support intelligibility in context-aware applications
  4. Active Learning with Feedback on Features and Instances
  5. A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search (IEEE Transactions on Software Engineering)
  6. Improving bug localization using structured information retrieval (International Conference on Automated Software Engineering)
  7. Why and why not explanations improve the intelligibility of context-aware intelligent systems
  8. All of Statistics
  9. The Elements of Statistical Learning
  10. Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach

Their papers