Vasileios Christou

发表

An Efficient Methodology That Simulates a Multi-Dimensional Non-Gaussian Field to Evaluate the Effect of the Spatial Distribution of Corrosion in a Steel Beam

Paolo Bocchini, Vasileios Christou, P. Bocchini, 2014 .

Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement

A. Tzallas, M. Tsipouras, N. Giannakeas, 2022, Expert Syst. Appl..

Metrics and algorithm for optimal retrofit strategy of resilient transportation networks

P. Bocchini, Aman Karamlou, Vasileios Christou, 2016 .

Hybrid extreme learning machine approach for homogeneous neural networks

Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras, 2018, Neurocomputing.

Evaluating the Window Size’s Role in Automatic EEG Epilepsy Detection

Katerina D. Tzimourta, A. Tzallas, M. Tsipouras, 2022, Sensors.

Grammatical Evolution-Based Feature Extraction for Hemiplegia Type Detection

A. Tzallas, M. Tsipouras, D. Varvarousis, 2022, Signals.

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

Euripidis Glavas, Ioannis G. Tsoulos, Alexandros T. Tzallas, 2021, Array.

Evolution of a heterogeneous hybrid extreme learning machine

Vasileios Christou, Vasileios Christou, 2019 .

Hybrid extreme learning machine approach for heterogeneous neural networks

Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras, 2018, Neurocomputing.

Improving the Accuracy of Low-Cost Sensor Measurements for Freezer Automation

Vasileios Christou, Georgios Tsoumanis, Nikolaos Giannakeas, 2020, Sensors.

Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review

Alexandros T. Tzallas, Dimitrios G. Tsalikakis, Nikolaos Giannakeas, 2021, Int. J. Neural Syst..

Effect of the interaction of corrosion pits among multiple tensile rebars on the reliability of RC structures: Experimental and numerical investigation

D. Frangopol, P. Bocchini, M. Akiyama, 2021 .

Performance and early drop prediction for higher education students using machine learning

A. Tzallas, N. Giannakeas, Vasileios Christou, 2023, Expert Syst. Appl..

Ensemble Convolutional Neural Network Classification for Pancreatic Steatosis Assessment in Biopsy Images

A. Tzallas, M. Tsipouras, R. Goldin, 2022, Inf..

EEG-Based Eye Movement Recognition Using Brain–Computer Interface and Random Forests

Katerina D. Tzimourta, A. Tzallas, M. Tsipouras, 2021, Sensors.

Classification Protocol and Comprehensive Database of Vertically Correlated Longitudinal Wind Velocities for Structural Analysis and Risk Assessment

P. Bocchini, Vasileios Christou, Mohanad Khazaali, 2022, Journal of Structural Engineering.

Framework for probabilistic simulation of power transmission network performance under hurricanes

P. Bocchini, Vasileios Christou, Liyang Ma, 2022, Reliab. Eng. Syst. Saf..

Fragility models of electrical conductors in power transmission networks subjected to hurricanes

Paolo Bocchini, Liyang Ma, Vasileios Christou, 2020 .

Self-Adaptive Hybrid Extreme Learning Machine for Heterogeneous Neural Networks

Vasileios Christou, Alexandros T. Tzallas, Nikolaos Giannakeas, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Training of Deep Convolutional Neural Networks to Identify Critical Liver Alterations in Histopathology Image Samples

Alexandros Arjmand, Alexandros T. Tzallas, Evripidis Glavas, 2019, Applied Sciences.

An Improved Medical Image Compression Method Based on Wavelet Difference Reduction

L. Kondi, A. Tzallas, N. Giannakeas, 2023, IEEE Access.