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"Permutation Entropy-Based Interpretability of Convolutional Neural Network ..."

Michele Lo Giudice et al. (2022)

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DOI: 10.3390/E24010102

access: open

type: Journal Article

metadata version: 2022-02-08

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  dblp key:
  - journals/entropy/GiudiceVIMTFGAM22
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  - https://dblp.org/rec/journals/entropy/GiudiceVIMTFGAM22
Michele Lo Giudice, Giuseppe Varone, Cosimo Ieracitano, Nadia Mammone, Giovanbattista Gaspare Tripodi, Edoardo Ferlazzo, Sara Gasparini, Umberto Aguglia, Francesco Carlo Morabito:
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 (2022)

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