Hybrid extreme learning machine approach for homogeneous neural networks. - Vasileios Christou; Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas (Neurocomputing, 2018)

Hybrid extreme learning machine approach for heterogeneous neural networks. - Vasileios Christou; Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas; Gavin Brown 001 (Neurocomputing, 2019)

Evolution of a heterogeneous hybrid extreme learning machine. - Vasileios Christou (2019)

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

Transfer Learning versus Custom CNN Architectures in NAFLD Biopsy Images. - Alexandros Arjmand; Vasileios Christou; Alexandros T. Tzallas; Markos G. Tsipouras; Constantinos T. Angelis; Georgios Tsoumanis; Evripidis Glavas; Roberta Forlano; Pinelopi Manousou; Nikolaos Giannakeas (TSP, 2020)

Stopping rules for a parallel genetic algorithm. - Ioannis G. Tsoulos; Alexandros T. Tzallas; Markos G. Tsipouras; Vasileios Christou; Dimitrios G. Tsalikakis (Int. J. Comput. Intell. Stud., 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)

Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals. - Vasileios Christou; Alexandros Arjmand; Dimitrios Dimopoulos; Dimitrios Varvarousis; Alexandros T. Tzallas; Christos Gogos; Markos G. Tsipouras; Avraam Ploumis; Nikolaos Giannakeas (SEEDA-CECNSM, 2021)

An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images. - Alexandros Arjmand; Vasileios Christou; Ioannis G. Tsoulos; Markos G. Tsipouras; Alexandros T. Tzallas; Christos Gogos; Euripidis Glavas; Nikolaos Giannakeas (Array, 2021)

Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review. - Katerina D. Tzimourta; Vasileios Christou; Alexandros T. Tzallas; Nikolaos Giannakeas; Loukas G. Astrakas; Pantelis Angelidis 001; Dimitrios G. Tsalikakis; Markos G. Tsipouras (Int. J. Neural Syst., 2021)

EEG-Based Eye Movement Recognition Using Brain-Computer Interface and Random Forests. - Evangelos Antoniou; Pavlos Bozios; Vasileios Christou; Katerina D. Tzimourta; Konstantinos Kalafatakis; Markos G. Tsipouras; Nikolaos Giannakeas; Alexandros T. Tzallas (Sensors, 2021)

Ensemble Convolutional Neural Network Classification for Pancreatic Steatosis Assessment in Biopsy Images. - Alexandros Arjmand; Odysseas Tsakai; Vasileios Christou; Alexandros T. Tzallas; Markos G. Tsipouras; Roberta Forlano; Pinelopi Manousou; Robert D. Goldin; Christos Gogos; Evripidis Glavas; Nikolaos Giannakeas (Inf., 2022)

Automatic Hemiplegia Type Detection (Right or Left) Using the Levenberg-Marquardt Backpropagation Method. - Vasileios Christou; Alexandros Arjmand; Dimitrios Dimopoulos; Dimitrios Varvarousis; Ioannis G. Tsoulos; Alexandros T. Tzallas; Christos Gogos; Markos G. Tsipouras; Evripidis Glavas; Avraam Ploumis; Nikolaos Giannakeas (Inf., 2022)

Framework for probabilistic simulation of power transmission network performance under hurricanes. - Liyang Ma; Vasileios Christou; Paolo Bocchini (Reliab. Eng. Syst. Saf., 2022)

Evaluating the Window Size's Role in Automatic EEG Epilepsy Detection. - Vasileios Christou; Andreas Miltiadous; Ioannis G. Tsoulos; Evaggelos Karvounis; Katerina D. Tzimourta; Markos G. Tsipouras; Nikolaos P. Anastasopoulos; Alexandros T. Tzallas; Nikolaos Giannakeas (Sensors, 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)

Towards a Knowledge Graph Enhanced Automation and Collaboration Framework for Digital Twins. - Vasileios Christou; Yuandou Wang; Zhiming Zhao (e-Science, 2023)

An Improved Medical Image Compression Method Based on Wavelet Difference Reduction. - Matina Ch. Zerva; Vasileios Christou; Nikolaos Giannakeas; Alexandros T. Tzallas; Lisimachos P. Kondi (IEEE Access, 2023)

Performance and early drop prediction for higher education students using machine learning. - Vasileios Christou; Ioannis G. Tsoulos; Vasileios Loupas; Alexandros T. Tzallas; Christos Gogos; Petros S. Karvelis; Nikolaos Antoniadis; Evripidis Glavas; Nikolaos Giannakeas (Expert Syst. Appl., 2023)

An evolutionary extreme learning machine algorithm for multi-cube unit single-layer neural networks. - Vasileios Christou; Alexandros T. Tzallas; Christos Gogos; Markos G. Tsipouras; Georgios Tsoumanis; Nikolaos Giannakeas (Appl. Soft Comput., 2025)