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

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. [doi]

@article{GiudiceVIMTFGAM22,
  title = {Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures},
  author = {Michele Lo Giudice and Giuseppe Varone and Cosimo Ieracitano and Nadia Mammone and Giovanbattista Gaspare Tripodi and Edoardo Ferlazzo and Sara Gasparini and Umberto Aguglia and Francesco Carlo Morabito},
  year = {2022},
  doi = {10.3390/e24010102},
  url = {https://doi.org/10.3390/e24010102},
  researchr = {https://researchr.org/publication/GiudiceVIMTFGAM22},
  cites = {0},
  citedby = {0},
  journal = {Entropy},
  volume = {24},
  number = {1},
  pages = {102},
}