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» Detecting Fault Modules Using Bioinformatics Techniques
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CORR
2008
Springer
216views Education» more  CORR 2008»
13 years 8 months ago
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
Sébastien Destercke, Serge Guillaume, Brigi...
SOSP
2009
ACM
14 years 5 months ago
Fast byte-granularity software fault isolation
Bugs in kernel extensions remain one of the main causes of poor operating system reliability despite proposed techniques that isolate extensions in separate protection domains to ...
Miguel Castro, Manuel Costa, Jean-Philippe Martin,...
BMCBI
2008
144views more  BMCBI 2008»
13 years 8 months ago
WGCNA: an R package for weighted correlation network analysis
Background: Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method ...
Peter Langfelder, Steve Horvath
ISSTA
2009
ACM
14 years 3 months ago
Time-aware test-case prioritization using integer linear programming
Techniques for test-case prioritization re-order test cases to increase their rate of fault detection. When there is a fixed time budget that does not allow the execution of all ...
Lu Zhang, Shan-Shan Hou, Chao Guo, Tao Xie, Hong M...
INFOCOM
2006
IEEE
14 years 2 months ago
A Statistical Framework for Intrusion Detection in Ad Hoc Networks
— We focus on detecting intrusions in ad hoc networks using the misuse detection technique. We allow for detection modules that periodically fail to detect attacks and also gener...
Dhanant Subhadrabandhu, Saswati Sarkar, Farooq Anj...