Article Versions Notes

Lo Giudice M, Varone G, Ieracitano C, Mammone N, Tripodi GG, Ferlazzo E, Gasparini S, Aguglia U, Morabito FC. Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures. Entropy. 2022; 24(1):102. https://doi.org/10.3390/e24010102

Lo Giudice, Michele, Giuseppe Varone, Cosimo Ieracitano, Nadia Mammone, Giovanbattista Gaspare Tripodi, Edoardo Ferlazzo, Sara Gasparini, Umberto Aguglia, and Francesco Carlo Morabito. 2022. "Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures" Entropy 24, no. 1: 102. https://doi.org/10.3390/e24010102

Lo Giudice, M., Varone, G., Ieracitano, C., Mammone, N., Tripodi, G. G., Ferlazzo, E., Gasparini, S., Aguglia, U., & Morabito, F. C. (2022). Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures. Entropy, 24(1), 102. https://doi.org/10.3390/e24010102