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JMLR
2006
132views more  JMLR 2006»
15 years 1 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof
NN
2008
Springer
150views Neural Networks» more  NN 2008»
15 years 1 months ago
Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
Martyn Fletcher, Bojian Liang, Leslie Smith, Alast...
159
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TAOSD
2010
15 years 7 hour ago
A Graph-Based Aspect Interference Detection Approach for UML-Based Aspect-Oriented Models
Abstract. Aspect Oriented Modeling (AOM) techniques facilitate separate modeling of concerns and allow for a more flexible composition of these than traditional modeling technique...
Selim Ciraci, Wilke Havinga, Mehmet Aksit, Christo...
CVPR
2012
IEEE
13 years 7 months ago
Foreground Detection Using Spatiotemporal Projection Kernels
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
Y. Moshe, H. Hel-Or, and Y. Hel-Or
ICSE
2008
IEEE-ACM
16 years 2 months ago
Clone detection in automotive model-based development
Model-based development is becoming an increasingly common development methodology. In important domains like embedded systems already major parts of the code are generated from m...
Benjamin Hummel, Bernhard Schätz, Elmar J&uum...