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» Detecting Anomalies and Intruders
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ICML
2010
IEEE
14 years 11 months ago
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
Zeeshan Syed, Ilan Rubinfeld
GIS
2008
ACM
15 years 11 months ago
Data mining for visual exploration and detection of ecosystem disturbances
This paper presents a case study on the application of data mining to the problem of detecting ecosystem disturbances from vegetation cover data obtained from satellite observatio...
Haibin Cheng, Pang-Ning Tan, Christopher Potter, S...
MOBIHOC
2008
ACM
15 years 9 months ago
Strong barrier coverage of wireless sensor networks
Constructing sensor barriers to detect intruders crossing a randomly-deployed sensor network is an important problem. Early results have shown how to construct sensor barriers to ...
Benyuan Liu, Olivier Dousse, Jie Wang, Anwar Saipu...
CVPR
2007
IEEE
15 years 12 months ago
A Bio-inspired Learning Approach for the Classification of Risk Zones in a Smart Space
Learning from experience is a basic task of human brain that is not yet fulfilled satisfactorily by computers. Therefore, in recent years to cope with this issue, bio-inspired app...
Alessio Dore, Matteo Pinasco, Carlo S. Regazzoni
LPAR
2007
Springer
15 years 4 months ago
Verifying Cryptographic Protocols with Subterms Constraints
Many analysis techniques and decidability results have been obtained for cryptographic protocols. However all of them consider protocols with limited procedures for the processing ...
Yannick Chevalier, Denis Lugiez, Michaël Rusi...