Abstract. This work aims to improve an existing time series forecasting algorithm –LBF– by the application of frequent episodes techniques as a complementary step to the model....
— Ensembles are often capable of greater predictive accuracy than any of their individual members. One key attribute of ensembles’ success is the notion of diversity. However, ...
In this research, an architecture that performs both forward and inverse lifting-based discrete wavelet transform is proposed. The proposed architecture reduces the hardware requi...
Literature shows that over the years numerous techniques for estimating development effort have been suggested, derived from late project measures. However, to the successful mana...
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...