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Epileptic seizure predictors based on computational intelligence techniques: A comparative study with 278 patients.

, , , , , , , , , and . Computer Methods and Programs in Biomedicine, 114 (3): 324-336 (2014)

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Robust and low complexity algorithms for seizure detection., , , , and . EMBC, page 4447-4450. IEEE, (2014)Angle constrained path for clustering of multiple manifolds., , , , , and . ICIP, page 4446-4450. IEEE, (2015)Output regularization of SVM seizure predictors: Kalman Filter versus the "Firing Power" method., , , and . EMBC, page 6530-6533. IEEE, (2012)Optimal preictal period in seizure prediction., , , and . IWBBIO, page 1427-1433. Copicentro Editorial, (2014)Target Tracking Using Wavelet Features and RVM Classifier., , , and . ICNC (4), page 569-572. IEEE Computer Society, (2008)Epileptic seizure prediction based on a bivariate spectral power methodology., , , and . EMBC, page 5943-5946. IEEE, (2012)Epileptic seizure predictors based on computational intelligence techniques: A comparative study with 278 patients., , , , , , , , , and . Computer Methods and Programs in Biomedicine, 114 (3): 324-336 (2014)Real-time epileptic seizure prediction at Centro Hospitalar e Universitário de Coimbra., , , , , , and . exp.at, page 196-198. IEEE, (2013)Seizure prediction with bipolar spectral power features using Adaboost and SVM classifiers., , , , and . EMBC, page 6305-6308. IEEE, (2013)Epileptic Seizure Detection using Bipolar Singular Value Decomposition., , , and . BIOSIGNALS, page 178-183. SciTePress, (2015)