Classification problems with uneven class distributions present several difficulties during the training as well as during the evaluation process of classifiers. A classification ...
Sophia Daskalaki, Ioannis Kopanas, Nikolaos M. Avo...
Network traffic measurements can provide essential data for network research and operation. While Internet traffic has been heavily studied for several years, there are new charact...
This paper deals with a realistic variant of flowshop scheduling, namely the hybrid flexible flowshop. A hybrid flowshop mixes the characteristics of regular flowshops and paralle...
Abstract - Multihypothesis motion-compensated prediction (MHMCP) approach has shown significant gain in terms of coding efficiency both in theory and practice. However, the fact th...
The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...