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A New Approach to Sample Entropy of Multi-channel Signals: Application to EEG Signals.

, , , , and . EUSIPCO, page 1945-1949. IEEE, (2018)

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Supervised learning rule selection for multiclass decision with performance constraints., , and . ICPR, page 1-4. IEEE Computer Society, (2008)A Supervised Decision Rule for Multiclass Problems Minimizing a Loss Function., , and . ICMLA, page 48-53. IEEE Computer Society, (2008)A Page-Hinkley based method for HFOs detection in epileptic depth-EEG., , , , and . EUSIPCO, page 1295-1299. IEEE, (2017)A New Approach to Sample Entropy of Multi-channel Signals: Application to EEG Signals., , , , and . EUSIPCO, page 1945-1949. IEEE, (2018)Automatic Detector of Abnormal EEG for Preterm Infants., , , , , and . HealthyIoT, volume 225 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 82-87. Springer, (2017)1D vs 2D convolutional neural networks for scalp high frequency oscillations identification., , , , and . ESANN, (2022)Cross-Site Generalization for Imbalanced Epileptic Classification., , , , and . ICASSP, page 1-5. IEEE, (2023)Time-Varying Time-Frequency Complexity Measures for Epileptic EEG Data Analysis., , , , and . IEEE Trans. Biomed. Eng., 65 (8): 1681-1688 (2018)Multivariate improved weighted multiscale permutation entropy and its application on EEG data., , , , , , , and . Biomed. Signal Process. Control., (2019)Gene expression RNA-sequencing survival analysis of high-grade serous ovarian carcinoma: a comparative study., , , , and . BIBM, page 3414-3419. IEEE, (2021)