G. Georgoulas

Classification of fetal heart rate during labour using hidden Markov models

C.D. Stylios, P.P. Groumpos, G.G. Georgoulas, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Least Squares Support Vector Machines for FHR Classification and Assessing the pH Based Categorization

Chrysostomos D. Stylios, Petros Karvelis, Lenka Lhotska, 2016 .

CLASSIFICATION OF FHR DURING THE INTRAPARTUM PERIOD USING WAVELET NEURAL NETWORKS TRAINED BY PSO

P. P. Groumpos, G. Georgoulas, C. Stylios, 2005 .

Rolling element bearings diagnostics using the Symbolic Aggregate approXimation

Theodoros Loutas, Georgios Georgoulas, Petros Karvelis, 2015 .

Remaining Useful Battery Life Prediction for UAVs based on Machine Learning

Sina Sharif Mansouri, George Nikolakopoulos, Petros Karvelis, 2017 .

METHODS AND TOOLS FOR PROCESSING BIOSIGNALS: A SURVEY PAPER

G. Georgoulas, L. Lhotská, V. Chudácek, 2005 .

Combining latent class analysis labeling with multiclass approach for fetal heart rate categorization

L Lhotská, P Karvelis, J Spilka, 2015, Physiological measurement.

An advanced software tool for analyzing and interpeting Gardiotocograms

G. Georgoulas, C. Stylios, P. Groumpos, 2009 .

2D visual area coverage and path planning coupled with camera footprints

Thomas Gustafsson, Sina Sharif Mansouri, Christoforos Kanellakis, 2018, Control Engineering Practice.