Vasileios Christou

Orcid: 0000-0002-3231-8852

According to our database1, Vasileios Christou authored at least 19 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Performance and early drop prediction for higher education students using machine learning.
Expert Syst. Appl., September, 2023

An Improved Medical Image Compression Method Based on Wavelet Difference Reduction.
IEEE Access, 2023

Towards a Knowledge Graph Enhanced Automation and Collaboration Framework for Digital Twins.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022
Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement.
Expert Syst. Appl., October, 2022

Evaluating the Window Size's Role in Automatic EEG Epilepsy Detection.
Sensors, 2022

Framework for probabilistic simulation of power transmission network performance under hurricanes.
Reliab. Eng. Syst. Saf., 2022

Automatic Hemiplegia Type Detection (Right or Left) Using the Levenberg-Marquardt Backpropagation Method.
Inf., 2022

Ensemble Convolutional Neural Network Classification for Pancreatic Steatosis Assessment in Biopsy Images.
Inf., 2022

2021
EEG-Based Eye Movement Recognition Using Brain-Computer Interface and Random Forests.
Sensors, 2021

Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review.
Int. J. Neural Syst., 2021

An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images.
Array, 2021

Neural Network-Based approach for Hemiplegia Detection via Accelerometer Signals.
Proceedings of the 6th South-East Europe Design Automation, 2021

2020
Improving the Accuracy of Low-Cost Sensor Measurements for Freezer Automation.
Sensors, 2020

Stopping rules for a parallel genetic algorithm.
Int. J. Comput. Intell. Stud., 2020

Transfer Learning versus Custom CNN Architectures in NAFLD Biopsy Images.
Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

Self-Adaptive Hybrid Extreme Learning Machine for Heterogeneous Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Evolution of a heterogeneous hybrid extreme learning machine.
PhD thesis, 2019

Hybrid extreme learning machine approach for heterogeneous neural networks.
Neurocomputing, 2019

2018
Hybrid extreme learning machine approach for homogeneous neural networks.
Neurocomputing, 2018


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