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BMCBI
2007
126views more  BMCBI 2007»
13 years 7 months ago
Using gene expression data and network topology to detect substantial pathways, clusters and switches during oxygen deprivation
Background: Biochemical investigations over the last decades have elucidated an increasingly complete image of the cellular metabolism. To derive a systems view for the regulation...
Gunnar Schramm, Marc Zapatka, Roland Eils, Rainer ...
DIMVA
2007
13 years 9 months ago
On the Adaptive Real-Time Detection of Fast-Propagating Network Worms
Abstract. We present two light-weight worm detection algorithms that offer significant advantages over fixed-threshold methods. The first algorithm, RBS (ratebased sequential hy...
Jaeyeon Jung, Rodolfo A. Milito, Vern Paxson
IJNSEC
2006
162views more  IJNSEC 2006»
13 years 7 months ago
Detecting and Evading Wormholes in Mobile Ad-hoc Wireless Networks
Mobile ad-hoc wireless networks are established in improvised environments through the mutual cooperation of its participating nodes. These nodes often operate in a physically ins...
Asad Amir Pirzada, Chris McDonald
SBIA
2004
Springer
14 years 1 months ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...
BIBE
2007
IEEE
162views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning
— The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. We are investigating the possibility of de...
Mary Qu Yang, Jack Y. Yang