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JCB
2002
93views more  JCB 2002»
15 years 5 days ago
Unfolding of Microarray Data
The use of DNA microarrays for the analysis of complex biological samples is becoming a mainstream part of biomedical research. One of the most commonly used methods compares the ...
Andrew B. Goryachev, Pascale F. Macgregor, Aled M....
113
Voted
ICMLA
2008
15 years 1 months ago
Comparison with Parametric Optimization in Credit Card Fraud Detection
We apply five classification methods, Neural Nets(NN), Bayesian Nets(BN), Naive Bayes(NB), Artificial Immune Systems(AIS) [4] and Decision Trees(DT), to credit card fraud detectio...
Manoel Fernando Alonso Gadi, Xidi Wang, Alair Pere...
138
Voted
RAID
2009
Springer
15 years 7 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...
PAKDD
2009
ACM
72views Data Mining» more  PAKDD 2009»
15 years 7 months ago
A Multi-resolution Approach for Atypical Behaviour Mining
Atypical behaviours are the basis of a valuable knowledge in domains related to security (e.g. fraud detection for credit card [1], cyber security [4] or safety of critical systems...
Alice Marascu, Florent Masseglia
CIMAGING
2010
133views Hardware» more  CIMAGING 2010»
15 years 1 months ago
Motion blur removal in nonlinear sensors
We address the problem of motion blur removal from an image sequence that was acquired by a sensor with nonlinear response. Motion blur removal in purely linear settings has been ...
Tomer Faktor, Tomer Michaeli, Yonina C. Eldar