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SP
2008
IEEE
176views Security Privacy» more  SP 2008»
16 years 1 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...
SIP
2003
15 years 8 months ago
Polyphase Antialiasing in Enlargements
Changing resolution of images is a common operation. It is also common to use simple, i.e., small interpolation kernels satisfying some ”smoothness” qualities that are determi...
Daniel Seidner
ITIIS
2010
138views more  ITIIS 2010»
15 years 1 months ago
Identification of Fuzzy Inference System Based on Information Granulation
In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of fuzzy inference systems based on SSA and information granulation (IG). In comp...
Wei Huang, Lixin Ding, Sung-Kwun Oh, Chang-Won Jeo...
FASE
2007
Springer
16 years 24 days ago
EQ-Mine: Predicting Short-Term Defects for Software Evolution
We use 63 features extracted from sources such as versioning and issue tracking systems to predict defects in short time frames of two months. Our multivariate approach covers aspe...
Jacek Ratzinger, Martin Pinzger, Harald Gall
REFSQ
2010
Springer
15 years 10 months ago
Binary Priority List for Prioritizing Software Requirements
Product managers in software companies are confronted with a continuous stream of incoming requirements. Due to limited resources they have to make a selection of those that can be...
Thomas Bebensee, Inge van de Weerd, Sjaak Brinkkem...