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» Performance of Biometric Quality Measures
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142
Voted
KDD
2004
ACM
132views Data Mining» more  KDD 2004»
16 years 4 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
113
Voted
ICSE
2008
IEEE-ACM
16 years 3 months ago
Security metrics for source code structures
Software security metrics are measurements to assess security related imperfections (or perfections) introduced during software development. A number of security metrics have been...
Istehad Chowdhury, Brian Chan, Mohammad Zulkernine
113
Voted
ICTAI
2007
IEEE
15 years 10 months ago
Conceptual Clustering Categorical Data with Uncertainty
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
Yuni Xia, Bowei Xi
123
Voted
CCS
2007
ACM
15 years 10 months ago
An algorithm for the appraisal of assurance indicators for complex business processes
In order to provide certified security services we must provide indicators that can measure the level of assurance that a complex business process can offer. Unfortunately the fo...
Fabio Massacci, Artsiom Yautsiukhin
125
Voted
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 10 months ago
Objective fitness correlation
This paper introduces the Objective Fitness Correlation, a new tool to analyze the evaluation accuracy of coevolutionary algorithms. Accurate evaluation is an essential ingredient...
Edwin D. de Jong