Self-Adaptive Hybrid Extreme Learning Machine for Heterogeneous Neural Networks. - Vasileios Christou; Georgios Ntritsos; Alexandros T. Tzallas; Markos G. Tsipouras; Nikolaos Giannakeas (IJCNN, 2020)

Improving the Accuracy of Low-Cost Sensor Measurements for Freezer Automation. - Kyriakos Koritsoglou; Vasileios Christou; Georgios Ntritsos; Georgios Tsoumanis; Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas (Sensors, 2020)

Prediction of melanoma incidence based on combination of genetic variants. - Georgios Ntritsos; Evangelos Evangelou (SEEDA-CECNSM, 2021)

Classification of EEG signals from young adults with dyslexia combining a Brain Computer Interface device and an Interactive Linguistic Software Tool. - Pavlos Christodoulides; Andreas Miltiadous; Katerina D. Tzimourta; Dimitrios Peschos; Georgios Ntritsos; Victoria Zakopoulou; Nikolaos Giannakeas; Loukas G. Astrakas; Markos G. Tsipouras; Konstantinos I. Tsamis; Euripidis Glavas; Alexandros T. Tzallas (Biomed. Signal Process. Control., 2022)

Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement. - Vasileios Christou; Kyriakos Koritsoglou; Georgios Ntritsos; Georgios Tsoumanis; Markos G. Tsipouras; Nikolaos Giannakeas; Evripidis Glavas; Alexandros T. Tzallas (Expert Syst. Appl., 2022)

Train RBF networks with a hybrid genetic algorithm. - Ioannis G. Tsoulos; Nikolaos P. Anastasopoulos; Georgios Ntritsos; Alexandros T. Tzallas (Evol. Intell., 2023)