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RAID
2009
Springer
14 years 2 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...
MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
13 years 9 months ago
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...
ACSAC
2003
IEEE
14 years 23 days ago
Automated Analysis for Digital Forensic Science: Semantic Integrity Checking
When computer security violations are detected, computer forensic analysts attempting to determine the relevant causes and effects are forced to perform the tedious tasks of find...
Tye Stallard, Karl N. Levitt
ECAI
2010
Springer
13 years 7 months ago
Mining Outliers with Adaptive Cutoff Update and Space Utilization (RACAS)
Recently the efficiency of an outlier detection algorithm ORCA was improved by RCS (Randomization with faster Cutoff update and Space utilization after pruning), which changes the ...
Chi-Cheong Szeto, Edward Hung
ISCAS
2007
IEEE
117views Hardware» more  ISCAS 2007»
14 years 1 months ago
Quantifying Input and Output Spike Statistics of a Winner-Take-All Network in a Vision System
— Event-driven spike-based processing systems offer new possibilities for real-time vision. Signals are encoded asynchronously in time thus preserving the time information of the...
Matthias Oster, Rodney J. Douglas, Shih-Chii Liu