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» PAPER - Accelerating parallel evaluations of ROCS
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ICPR
2006
IEEE
15 years 10 months ago
Precision-recall operating characteristic (P-ROC) curves in imprecise environments
Traditionally, machine learning algorithms have been evaluated in applications where assumptions can be reliably made about class priors and/or misclassification costs. In this pa...
Thomas Landgrebe, Pavel Paclík, Robert P. W...
ICONIP
2008
14 years 11 months ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
IPPS
2007
IEEE
15 years 3 months ago
Optimization and evaluation of parallel I/O in BIPS3D parallel irregular application
This paper presents the optimization and evaluation of parallel I/O for the BIPS3D parallel irregular application, a 3-dimensional simulation of BJT and HBT bipolar devices. The p...
Rosa Filgueira, David E. Singh, Florin Isaila, Jes...
IJCAI
2003
14 years 11 months ago
AUC: a Statistically Consistent and more Discriminating Measure than Accuracy
Predictive accuracy has been used as the main and often only evaluation criterion for the predictive performance of classification learning algorithms. In recent years, the area ...
Charles X. Ling, Jin Huang, Harry Zhang
ICIAP
2007
ACM
15 years 3 months ago
Dynamic Score Selection for Fusion of Multiple Biometric Matchers
A biometric system for user authentication produces a matching score representing the degree of similarity of the input biometry with the set of templates for that user. If the sc...
Roberto Tronci, Giorgio Giacinto, Fabio Roli