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ICMLA
2010
13 years 5 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
JCS
2006
81views more  JCS 2006»
13 years 7 months ago
Effective worm detection for various scan techniques
In recent years, the threats and damages caused by active worms have become more and more serious. In order to reduce the loss caused by fastspreading active worms, an effective de...
Jianhong Xia, Sarma Vangala, Jiang Wu, Lixin Gao, ...
ICST
2009
IEEE
14 years 2 months ago
The Effectiveness of Automated Static Analysis Tools for Fault Detection and Refactoring Prediction
Many automated static analysis (ASA) tools have been developed in recent years for detecting software anomalies. The aim of these tools is to help developers to eliminate software...
Fadi Wedyan, Dalal Alrmuny, James M. Bieman
IMC
2009
ACM
14 years 2 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
PERVASIVE
2011
Springer
12 years 10 months ago
n-Gram Geo-trace Modeling
As location-sensing smart phones and location-based services gain mainstream popularity, there is increased interest in developing techniques that can detect anomalous activities. ...
Senaka Buthpitiya, Ying Zhang, Anind K. Dey, Marti...