Epileptic seizure predictors based on computational intelligence techniques: A comparative study with 278 patients
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Andreas Schulze-Bonhage | Francisco Sales | César Alexandre Teixeira | Bruno Direito | Mojtaba Bandarabadi | António Dourado | Michel Le Van Quyen | Mario Valderrama | Björn Schelter | Vincent Navarro | A. Schulze-Bonhage | M. Quyen | V. Navarro | B. Schelter | C. Teixeira | F. Sales | A. Dourado | M. Valderrama | M. Bandarabadi | B. Direito
[1] Florian Mormann,et al. Seizure prediction , 2008, Scholarpedia.
[2] A. Schulze-Bonhage,et al. Views of patients with epilepsy on seizure prediction devices , 2010, Epilepsy & Behavior.
[3] C.H. Sequin,et al. Optimal adaptive k-means algorithm with dynamic adjustment of learning rate , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.
[4] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[5] A. Kraskov,et al. On the predictability of epileptic seizures , 2005, Clinical Neurophysiology.
[6] Viglione Ss,et al. Proceedings: Epileptic seizure prediction. , 1975 .
[7] Timothy A. Pedley,et al. Epilepsy : a comprehensive textbook , 2008 .
[8] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[9] C. A. Teixeira,et al. EPILAB: A software package for studies on the prediction of epileptic seizures , 2011, Journal of Neuroscience Methods.
[10] Florian Mormann,et al. What is the present-day EEG evidence for a preictal state? , 2011, Epilepsy Research.
[11] S S Viglione,et al. Proceedings: Epileptic seizure prediction. , 1975, Electroencephalography and clinical neurophysiology.
[12] Nitesh V. Chawla,et al. Editorial: special issue on learning from imbalanced data sets , 2004, SKDD.
[13] Chih-Jen Lin,et al. A Practical Guide to Support Vector Classication , 2008 .
[14] Ali H. Shoeb,et al. Non-Invasive Computerized System for Automatically Initiating Vagus Nerve Stimulation Following Patient-Specific Detection of Seizures or epileptiform discharges , 2009, Int. J. Neural Syst..
[15] Andreas Schulze-Bonhage,et al. EPILEPSIAE - A European epilepsy database , 2012, Comput. Methods Programs Biomed..
[16] Andreas Schulze-Bonhage,et al. Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction. , 2006, Chaos.
[17] W. Kruskal,et al. Use of Ranks in One-Criterion Variance Analysis , 1952 .
[18] Chih-Jen Lin,et al. A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.
[19] G. Lightbody,et al. Performance assessment for EEG-based neonatal seizure detectors , 2011, Clinical Neurophysiology.
[20] A. Aarabi,et al. EEG seizure prediction: Measures and challenges , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[21] Bruno Direito,et al. Towards Personalized Neural Networks for Epileptic Seizure Prediction , 2008, ICANN.
[22] R. E. Madsen,et al. Channel selection for automatic seizure detection , 2012, Clinical Neurophysiology.
[23] Jens Timmer,et al. The EPILEPSIAE database: An extensive electroencephalography database of epilepsy patients , 2012, Epilepsia.
[24] António E. Ruano,et al. Exploiting the separability of linear and nonlinear parameters in radial basis function networks , 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).
[25] Theoden Netoff,et al. Seizure prediction using cost-sensitive support vector machine , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[26] B. Hjorth. EEG analysis based on time domain properties. , 1970, Electroencephalography and clinical neurophysiology.
[27] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[28] Keshab K. Parhi,et al. Seizure Prediction With Spectral Power of EEG Using Cost-Sensitive Support Vector Machines , 2010 .
[29] F. Mormann,et al. Seizure prediction: the long and winding road. , 2007, Brain : a journal of neurology.
[30] Luigi Chisci,et al. Real-Time Epileptic Seizure Prediction Using AR Models and Support Vector Machines , 2010, IEEE Transactions on Biomedical Engineering.
[31] Yufeng Liu,et al. Adaptive Weighted Learning for Unbalanced Multicategory Classification , 2009, Biometrics.
[32] K. Lehnertz,et al. The First International Collaborative Workshop on Seizure Prediction: summary and data description , 2005, Clinical Neurophysiology.
[33] P. Kwan,et al. Early identification of refractory epilepsy. , 2000, The New England journal of medicine.
[34] Kenneth Levenberg. A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES , 1944 .
[35] A. Schulze-Bonhage,et al. Joining the benefits: Combining epileptic seizure prediction methods , 2010, Epilepsia.
[36] Robert M. Worth,et al. Real-time seizure prediction from local field potentials using an adaptive Wiener algorithm , 2010, Comput. Biol. Medicine.
[37] D. Marquardt. An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .
[38] César Alexandre Teixeira,et al. Output regularization of SVM seizure predictors: Kalman Filter versus the “Firing Power” method , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[39] P. Coubes,et al. The Relationship Between Sleep and Epilepsy in Frontal and Temporal Lobe Epilepsies: Practical and Physiopathologic Considerations , 1998, Epilepsia.
[40] Bernard Widrow,et al. Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights , 1990, 1990 IJCNN International Joint Conference on Neural Networks.
[41] J. W. A. S. Sander,et al. Mortality from epilepsy: results from a prospective population-based study , 1994, The Lancet.
[42] Osman Erogul,et al. Epileptic EEG detection using the linear prediction error energy , 2010, Expert Syst. Appl..
[43] Martin A. Riedmiller,et al. A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.
[44] Yann LeCun,et al. Comparing SVM and convolutional networks for epileptic seizure prediction from intracranial EEG , 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.