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» Computational Intelligence approaches to causality detection
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CCS
2009
ACM
14 years 4 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
EVOW
2010
Springer
14 years 29 days ago
Improving Multi-Relief for Detecting Specificity Residues from Multiple Sequence Alignments
A challenging problem in bioinformatics is the detection of residues that account for protein function specificity, not only in order to gain deeper insight in the nature of functi...
Elena Marchiori
SIGSOFT
2010
ACM
13 years 4 months ago
Path-based fault correlations
Although a number of automatic tools have been developed to detect faults, much of the diagnosis is still being done manually. To help with the diagnostic tasks, we formally intro...
Wei Le, Mary Lou Soffa
IWINAC
2005
Springer
14 years 3 months ago
MEPIDS: Multi-Expression Programming for Intrusion Detection System
Abstract. An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been ...
Crina Grosan, Ajith Abraham, Sang-Yong Han
IBPRIA
2005
Springer
14 years 3 months ago
Multi-resolution Image Analysis for Vehicle Detection
Computer Vision can provide a great deal of assistance to Intelligent Vehicles. In this paper an Advanced Driver Assistance Systems for Vehicle Detection is presented. A geometric ...
Cristina Hilario, Juan Manuel Collado, Jose M. Arm...