Kevin McIntosh

Computer Vision and Pattern Recognition · 2010–2014

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 9 citations into it; #35,282 of 35,345 by trust here, #16,166 by citations

Whom Kevin McIntosh 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)

Who trusts Kevin McIntosh

1. Simone Stumpf (in Artificial Intelligence)

Papers from Kevin McIntosh's perspective

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

1. Explaining collaborative filtering recommendations
2. Test Case Prioritization: A Family of Empirical Studies (IEEE Trans. Software Eng.)
3. How it works: a field study of non-technical users interacting with an intelligent system
4. Support-Vector Networks
5. Toolkit to support intelligibility in context-aware applications
6. Toward harnessing user feedback for machine learning
7. A review of explanation methods for Bayesian networks
8. Visual Explanation of Evidence with Additive Classifiers
9. Active Learning with Feedback on Features and Instances
10. Why and why not explanations improve the intelligibility of context-aware intelligent systems

Their papers

• You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems (2014) — 76 citations
• Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach (2011) — 21 citations
• Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs (2010) — 115 citations