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» Intrusion Detection with Neural Networks
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CCS
2006
ACM
13 years 12 months ago
Time series modeling for IDS alert management
Intrusion detection systems create large amounts of alerts. Significant part of these alerts can be seen as background noise of an operational information system, and its quantity...
Jouni Viinikka, Hervé Debar, Ludovic M&eacu...
GECCO
2004
Springer
169views Optimization» more  GECCO 2004»
14 years 1 months ago
Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics
The identification of genes that influence the risk of common, complex diseases primarily through interactions with other genes and environmental factors remains a statistical and ...
Marylyn D. Ritchie, Christopher S. Coffey, Jason H...
ICANN
2011
Springer
12 years 11 months ago
Person Tracking Based on a Hybrid Neural Probabilistic Model
This article presents a novel approach for a real-time person tracking system based on particle filters that use different visual streams. Due to the difficulty of detecting a pe...
Wenjie Yan, Cornelius Weber, Stefan Wermter
ISCAS
2003
IEEE
123views Hardware» more  ISCAS 2003»
14 years 1 months ago
Classification of power system faults using wavelet transforms and probabilistic neural networks
Automation of power system fault identification using information conveyed by the wavelet analysis of power system transients is proposed. Probabilistic Neural Network (PNN) for d...
Harish K. Kashyap, U. Jayachandra Shenoy
IJCNN
2007
IEEE
14 years 2 months ago
Analysis of mammogram using self-organizing neural networks based on spatial isomorphism
— The correct segmentation and measurement of mammography images is of fundamental importance for the development of automatic or computer-aided cancer detection systems. In this...
Aida A. Ferreira, Francisco Nascimento Jr., Ing Re...