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AI
2001
Springer
15 years 11 months ago
A Case Study for Learning from Imbalanced Data Sets
We present our experience in applying a rule induction technique to an extremely imbalanced pharmaceutical data set. We focus on using a variety of performance measures to evaluate...
Aijun An, Nick Cercone, Xiangji Huang
183
Voted
LCPC
1993
Springer
15 years 10 months ago
Maximizing Loop Parallelism and Improving Data Locality via Loop Fusion and Distribution
Abstract. Loop fusion is a program transformation that merges multiple loops into one. It is e ective for reducing the synchronization overhead of parallel loops and for improving ...
Ken Kennedy, Kathryn S. McKinley
CSCW
2010
ACM
16 years 3 months ago
Information needs in bug reports: improving cooperation between developers and users
For many software projects, bug tracking systems play a central role in supporting collaboration between the developers and the users of the software. To better understand this co...
Silvia Breu, Rahul Premraj, Jonathan Sillito, Thom...
KBSE
2008
IEEE
16 years 1 months ago
How Program History Can Improve Code Completion
Code completion is a widely used productivity tool. It takes away the burden of remembering and typing the exact names of methods or classes: As a developer starts typing a name, ...
Romain Robbes, Michele Lanza
166
Voted
SCAM
2003
IEEE
15 years 12 months ago
Improving the Static Analysis of Loops by Dynamic Partitioning Techniques
Many static analyses aim at assigning to each control point of a program an invariant property that characterizes any state of a trace corresponding to this point. The choice of t...
Matthieu Martel