Giuseppe Varone

Chieti, 66100, Italy

Last Updated: 09/26/2026

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Found 8 publications

A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting.

A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting.

Journal: Entropy (Basel, Switzerland)

Published: November 25, 2022

Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures.

Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures.

Journal: Entropy (Basel, Switzerland)

Published: December 06, 2021

A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls.

A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls.

Journal: Sensors (Basel, Switzerland)

Published: October 21, 2021

A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images.

A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images.

Journal: Neurocomputing

Published: October 15, 2021

Source-based artifact-rejection techniques for TMS-EEG.

Source-based artifact-rejection techniques for TMS-EEG.

Journal: Journal of neuroscience methods

Published: October 14, 2021

The rt-TEP tool: real-time visualization of TMS-Evoked Potentials to maximize cortical activation and minimize artifacts.

The rt-TEP tool: real-time visualization of TMS-Evoked Potentials to maximize cortical activation and minimize artifacts.

Journal: Journal of neuroscience methods

Published: September 22, 2021

Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures.

Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures.

Journal: Sensors (Basel, Switzerland)

Published: November 09, 2020

A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects.

A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects.

Journal: Sensors (Basel, Switzerland)

Published: January 19, 2020

Showing 1-8 of 8

Last Updated: 09/26/2026