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

, , , , , , , , and . Entropy, 24 (1): 102 (2022)

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Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures., , , , , , , , and . Entropy, 24 (1): 102 (2022)Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures., , , , , , , , and . Sensors, 21 (2): 637 (2021)A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images., , , , , , , , , and 6 other author(s). Neurocomputing, (2022)Finger pinching and imagination classification: A fusion of CNN architectures for IoMT-enabled BCI applications., , , , , , and . Inf. Fusion, (January 2024)A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects., , , , , , , , and . Sensors, 20 (4): 1235 (2020)A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting., , , , , , , , , and . Entropy, 25 (2): 253 (February 2023)Arabic Sentiment Analysis Based on Word Embeddings and Deep Learning., , , , , , , , , and . Comput., 12 (6): 126 (June 2023)1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications., , , , , , and . IJCNN, page 1-7. IEEE, (2020)A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls., , , , , , , , , and 2 other author(s). Sensors, 22 (1): 129 (2022)