VARONE, GIUSEPPE
VARONE, GIUSEPPE
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A comprehensive machine-learning-based software pipeline to classify EEG signals: A case study on PNES vs. control subjects
2020-01-01 Varone, G.; Gasparini, S.; Ferlazzo, E.; Ascoli, M.; Tripodi, G. G.; Zucco, C.; Calabrese, B.; Cannataro, M.; Aguglia, U.
A machine learning approach involving functional connectivity features to classify rest-eeg psychogenic non-epileptic seizures from healthy controls
2022-01-01 Varone, G.; Boulila, W.; Lo Giudice, M.; Benjdira, B.; Mammone, N.; Ieracitano, C.; Dashtipour, K.; Neri, S.; Gasparini, S.; Morabito, F. C.; Hussain, A.; Aguglia, U.
Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures
2022-01-01 Lo Giudice, M.; Varone, G.; Ieracitano, C.; Mammone, N.; Tripodi, G. G.; Ferlazzo, E.; Gasparini, S.; Aguglia, U.; Morabito, F. C.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A comprehensive machine-learning-based software pipeline to classify EEG signals: A case study on PNES vs. control subjects | 1-gen-2020 | Varone, G.; Gasparini, S.; Ferlazzo, E.; Ascoli, M.; Tripodi, G. G.; Zucco, C.; Calabrese, B.; Cannataro, M.; Aguglia, U. | |
| A machine learning approach involving functional connectivity features to classify rest-eeg psychogenic non-epileptic seizures from healthy controls | 1-gen-2022 | Varone, G.; Boulila, W.; Lo Giudice, M.; Benjdira, B.; Mammone, N.; Ieracitano, C.; Dashtipour, K.; Neri, S.; Gasparini, S.; Morabito, F. C.; Hussain, A.; Aguglia, U. | |
| Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures | 1-gen-2022 | Lo Giudice, M.; Varone, G.; Ieracitano, C.; Mammone, N.; Tripodi, G. G.; Ferlazzo, E.; Gasparini, S.; Aguglia, U.; Morabito, F. C. |