John Anvik
Information Systems · 2004–2011
A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 16 citations into it; #773 of 8,771 by trust here, #2,013 by citations
- Artificial Intelligence — 8 citations into it
- Computer Science Applications — 6 citations into it
Whom John Anvik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Jason D. M. Rennie
- Audris Mockus
- David William Aha
- Lawrence Kai Shih
- Fabrizio Sebastiani
- James D. Herbsleb
- Dennis F. Kibler
- Jaime Teevan
- Davor Cubranic
Who trusts John Anvik overall
- Kim Herzig
- James D. Herbsleb
- Sunghun Kim
- Chengnian Sun
- Sascha Just
- Xiaodong Gu
- Pieter Hooimeijer
- Gaeul Jeong
- Thomas Zimmermann
- Nicolas Bettenburg
Papers from John Anvik's perspective
Ordered by how strongly the researchers John Anvik trusts endorse each paper. Same corpus, a different order for every researcher.
- Pattern classification and scene analysis
- Two case studies of open source software development: Apache and Mozilla (TSEM)
- The Nature of Statistical Learning Theory
- Expertise Browser: a quantitative approach to identifying expertise (Proceedings of the 24th International Conference on Software Engineering. ICSE 2002)
- Foundations of Statistical Natural Language Processing
- Automated support for classifying software failure reports (25th International Conference on Software Engineering, 2003. Proceedings.)
- Tackling the Poor Assumptions of Naive Bayes Text Classifiers (International Conference on Machine Learning)
- Bug isolation via remote program sampling (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
- A training algorithm for optimal margin classifiers
- The Elements of Statistical Learning
Their papers
- Visual Explanation of Evidence with Additive Classifiers (2006) — 135 citations
- Predicting subcellular localization of proteins using machine-learned classifiers (2004) — 359 citations
- Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations (2004) — 113 citations
- Reducing the effort of bug report triage: Recommenders for development-oriented decisions (2011) — 326 citations
- An approach to detecting duplicate bug reports using natural language and execution information (2008) — 584 citations
- Who should fix this bug? (2006) — 1,112 citations