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RAID
2009
Springer
14 years 4 months ago
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
Gabriela F. Cretu-Ciocarlie, Angelos Stavrou, Mich...
BMCBI
2006
114views more  BMCBI 2006»
13 years 9 months ago
A high level interface to SCOP and ASTRAL implemented in Python
Background: Benchmarking algorithms in structural bioinformatics often involves the construction of datasets of proteins with given sequence and structural properties. The SCOP da...
James A. Casbon, Gavin E. Crooks, Mansoor A. S. Sa...
NETWORK
2008
107views more  NETWORK 2008»
13 years 9 months ago
HiCon: a hierarchical context monitoring and composition framework for next-generation context-aware services
This article presents a hierarchical context monitoring and composition framework that effectively supports next-generation context-aware services. The upcoming ubiquitous space w...
Kyungmin Cho, Inseok Hwang, Seungwoo Kang, Byoungj...
SIGIR
2012
ACM
12 years 7 days ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
QEST
2009
IEEE
14 years 4 months ago
Recent Extensions to Traviando
—Traviando is a trace analyzer and visualizer for simulation traces of discrete event dynamic systems. In this paper, we briefly outline recent extensions of Traviando towards a...
Peter Kemper