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ECIS
2000
15 years 7 months ago
Different Pre-Processing Models for Financial Accounts when using Neural Networks for Auditing
The aim of this study is to investigate the impact of various pre-processing models on the forecast capability of artificial neural network (ANN) when auditing financial accounts. ...
Eija Koskivaara
VLSID
2009
IEEE
115views VLSI» more  VLSID 2009»
16 years 7 months ago
Efficient Techniques for Directed Test Generation Using Incremental Satisfiability
Functional validation is a major bottleneck in the current SOC design methodology. While specification-based validation techniques have proposed several promising ideas, the time ...
Prabhat Mishra, Mingsong Chen
TNN
2010
171views Management» more  TNN 2010»
15 years 1 months ago
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
Juan Carlos Fernández Caballero, Francisco ...
SIGITE
2004
ACM
15 years 11 months ago
Implementation of object-orientation using UML in entry level software development courses
In this paper, we establish the need (based on literature and anecdotal evidence) for an infrastructure for CS1 courses to visually support problem solving from the initial proble...
Mohammad H. N. Tabrizi, Carol B. Collins, E. Ozan,...
ICPR
2010
IEEE
15 years 9 months ago
Detecting Faint Compact Sources Using Local Features and a Boosting Approach
Several techniques have been proposed so far in order to perform faint compact source detection in wide field interferometric radio images. However, all these methods can easily mi...
Albert Torrent, Marta Peracaula, Xavier Llado, Jor...