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2020 – today
- 2023
[j14]Matina Ch. Zerva, Vasileios Christou
, Nikolaos Giannakeas, Alexandros T. Tzallas, Lisimachos P. Kondi:
An Improved Medical Image Compression Method Based on Wavelet Difference Reduction. IEEE Access 11: 18026-18037 (2023)- [j13]Vasileios Christou, Ioannis G. Tsoulos, Vasileios Loupas, Alexandros T. Tzallas, Christos Gogos, Petros S. Karvelis, Nikolaos Antoniadis, Evripidis Glavas, Nikolaos Giannakeas:
Performance and early drop prediction for higher education students using machine learning. Expert Syst. Appl. 225: 120079 (2023) - [c4]Vasileios Christou, Yuandou Wang, Zhiming Zhao:
Towards a Knowledge Graph Enhanced Automation and Collaboration Framework for Digital Twins. e-Science 2023: 1-2 - 2022
- [j12]Vasileios Christou, Kyriakos Koritsoglou, Georgios Ntritsos, Georgios Tsoumanis, Markos G. Tsipouras, Nikolaos Giannakeas, Evripidis Glavas, Alexandros T. Tzallas:
Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement. Expert Syst. Appl. 203: 117488 (2022) - [j11]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:
Automatic Hemiplegia Type Detection (Right or Left) Using the Levenberg-Marquardt Backpropagation Method. Inf. 13(2): 101 (2022) - [j10]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:
Ensemble Convolutional Neural Network Classification for Pancreatic Steatosis Assessment in Biopsy Images. Inf. 13(4): 160 (2022) - [j9]Liyang Ma, Vasileios Christou, Paolo Bocchini:
Framework for probabilistic simulation of power transmission network performance under hurricanes. Reliab. Eng. Syst. Saf. 217: 108072 (2022) - [j8]Vasileios Christou, Andreas Miltiadous, Ioannis G. Tsoulos, Evaggelos Karvounis, Katerina D. Tzimourta, Markos G. Tsipouras, Nikolaos P. Anastasopoulos, Alexandros T. Tzallas, Nikolaos Giannakeas:
Evaluating the Window Size's Role in Automatic EEG Epilepsy Detection. Sensors 22(23): 9233 (2022) - 2021
- [j7]Alexandros Arjmand, Vasileios Christou, Ioannis G. Tsoulos, Markos G. Tsipouras, Alexandros T. Tzallas, Christos Gogos, Euripidis Glavas, Nikolaos Giannakeas:
An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images. Array 11: 100078 (2021) - [j6]Katerina D. Tzimourta, Vasileios Christou, Alexandros T. Tzallas, Nikolaos Giannakeas, Loukas G. Astrakas, Pantelis Angelidis, Dimitrios G. Tsalikakis, Markos G. Tsipouras:
Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review. Int. J. Neural Syst. 31(5): 2130002:1-2130002:33 (2021) - [j5]Evangelos Antoniou, Pavlos Bozios, Vasileios Christou, Katerina D. Tzimourta, Konstantinos Kalafatakis, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas:
EEG-Based Eye Movement Recognition Using Brain-Computer Interface and Random Forests. Sensors 21(7): 2339 (2021) - [c3]Vasileios Christou, Alexandros Arjmand, Dimitrios Dimopoulos, Dimitrios Varvarousis, Alexandros T. Tzallas, Christos Gogos, Markos G. Tsipouras, Avraam Ploumis, Nikolaos Giannakeas:
Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals. SEEDA-CECNSM 2021: 1-5 - 2020
- [j4]Ioannis G. Tsoulos, Alexandros T. Tzallas, Markos G. Tsipouras, Vasileios Christou, Dimitrios G. Tsalikakis:
Stopping rules for a parallel genetic algorithm. Int. J. Comput. Intell. Stud. 9(1/2): 146-160 (2020) - [j3]Kyriakos Koritsoglou, Vasileios Christou, Georgios Ntritsos, Georgios Tsoumanis, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas:
Improving the Accuracy of Low-Cost Sensor Measurements for Freezer Automation. Sensors 20(21): 6389 (2020) - [c2]Vasileios Christou, Georgios Ntritsos, Alexandros T. Tzallas, Markos G. Tsipouras, Nikolaos Giannakeas:
Self-Adaptive Hybrid Extreme Learning Machine for Heterogeneous Neural Networks. IJCNN 2020: 1-8 - [c1]Alexandros Arjmand, Vasileios Christou, Alexandros T. Tzallas, Markos G. Tsipouras, Constantinos T. Angelis, Georgios Tsoumanis, Evripidis Glavas, Roberta Forlano, Pinelopi Manousou, Nikolaos Giannakeas:
Transfer Learning versus Custom CNN Architectures in NAFLD Biopsy Images. TSP 2020: 480-483
2010 – 2019
- 2019
- [b1]Vasileios Christou:
Evolution of a heterogeneous hybrid extreme learning machine. University of Manchester, UK, 2019 - [j2]Vasileios Christou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Gavin Brown:
Hybrid extreme learning machine approach for heterogeneous neural networks. Neurocomputing 361: 137-150 (2019) - 2018
- [j1]Vasileios Christou, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas:
Hybrid extreme learning machine approach for homogeneous neural networks. Neurocomputing 311: 397-412 (2018)
Coauthor Index
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