Abstract. This paper describes GAPP – a framework for the execution of distributed genetic algorithms (GAs) using the H2O metacomputing environment. GAs may be a viable solution ...
Tomasz Ampula, Dawid Kurzyniec, Vaidy S. Sunderam,...
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
The paper is devoted to the problems of using the algorithms in expert systems of choice in the investment projects; singularities of such algorithms and their functioning in diff...
A. Ya. Kuziomin, A. O. Havrilov, Vladimir Drobynsk...
Generating test data for formal state based specifications is computationally expensive. This paper improves a framework that addresses this issue by representing the test data ge...
Karnig Derderian, Mercedes G. Merayo, Robert M. Hi...