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» Detecting Co-Derivative Documents in Large Text Collections
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SOFTVIS
2005
ACM
15 years 3 months ago
Towards understanding programs through wear-based filtering
Large software projects often require a programmer to make changes to unfamiliar source code. This paper presents the results of a formative observational study of seven professio...
Robert DeLine, Amir Khella, Mary Czerwinski, Georg...
SDM
2012
SIAM
247views Data Mining» more  SDM 2012»
13 years 1 days ago
Simplex Distributions for Embedding Data Matrices over Time
Early stress recognition is of great relevance in precision plant protection. Pre-symptomatic water stress detection is of particular interest, ultimately helping to meet the chal...
Kristian Kersting, Mirwaes Wahabzada, Christoph R&...
CIKM
2009
Springer
15 years 4 months ago
A machine learning approach for improved BM25 retrieval
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
Krysta Marie Svore, Christopher J. C. Burges
84
Voted
GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
14 years 10 months ago
Evolving similarity functions for code plagiarism detection
Students are often asked to submit electronic copies of their program code as part of assessment in computer science courses. To counter code plagiarism, educational institutions ...
Victor Ciesielski, Nelson Wu, Seyed M. M. Tahaghog...
DGO
2006
113views Education» more  DGO 2006»
14 years 11 months ago
Progress in language processing technology for electronic rulemaking
In this project, we are developing new text processing tools that help people perform advanced analysis of large collections of text commentary. This problem is increasingly faced...
Stuart W. Shulman, Eduard H. Hovy, Jamie Callan, S...