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Seizure prediction with bipolar spectral power features using Adaboost and SVM classifiers.

, , , , and . EMBC, page 6305-6308. IEEE, (2013)

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A low-complex multi-channel methodology for noise detection in phonocardiogram signals., , , , , , and . EMBC, page 5936-5939. IEEE, (2015)Optimized feature subsets for epileptic seizure prediction studies., , , and . EMBC, page 1636-1639. IEEE, (2011)Wepilet, optimal orthogonal wavelets for epileptic seizure prediction with one single surface channel., , , and . EMBC, page 7059-7062. IEEE, (2011)A Realistic Seizure Prediction Study Based on Multiclass SVM., , , , and . Int. J. Neural Syst., 27 (3): 1750006:1-1750006:15 (2017)Epileptic Seizure Detection using Bipolar Singular Value Decomposition., , , and . BIOSIGNALS, page 178-183. SciTePress, (2015)Early Seizure Detection Using Neuronal Potential Similarity: A Generalized Low-Complexity and Robust Measure., , , , , and . Int. J. Neural Syst., 25 (5): 1550019:1-1550019:18 (2015)Noise detection in phonocardiograms by exploring similarities in spectral features., , , , , , and . Biomed. Signal Process. Control., (2018)An Empirical Analysis of Rebalancing Methods for Security Issue Report Identification., , and . PRDC, page 1-12. IEEE, (2023)Software code complexity assessment using EEG features., , , , , , , , , and . EMBC, page 1413-1416. IEEE, (2019)Systems and Control for Biomedical Engineering Students., , , and . ACE, page 413-417. International Federation of Automatic Control, (2012)