Epileptic seizure identification from electroencephalography signal using DE-RBFNs ensemble
暂无分享,去创建一个
[1] P. N. Suganthan,et al. Differential Evolution: A Survey of the State-of-the-Art , 2011, IEEE Transactions on Evolutionary Computation.
[2] U. Rajendra Acharya,et al. EEG Signal Analysis: A Survey , 2010, Journal of Medical Systems.
[3] H. Adeli,et al. Analysis of EEG records in an epileptic patient using wavelet transform , 2003, Journal of Neuroscience Methods.
[4] Hasan Ocak,et al. Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithm , 2008, Signal Process..
[5] Fernando Lopes da Silva,et al. Comprar Niedermeyer's Electroencephalography, 6/e (Basic Principles, Clinical Applications, and Related Fields ) | Fernando Lopes Da Silva | 9780781789424 | Lippincott Williams & Wilkins , 2010 .
[6] W.R. Fright,et al. A multistage system to detect epileptiform activity in the EEG , 1993, IEEE Transactions on Biomedical Engineering.
[7] Dingli Yu,et al. Selecting radial basis function network centers with recursive orthogonal least squares training , 2000, IEEE Trans. Neural Networks Learn. Syst..
[8] A. Walker. Electroencephalography, Basic Principles, Clinical Applications and Related Fields , 1982 .
[9] Abdulhamit Subasi,et al. Classification of EEG signals using neural network and logistic regression , 2005, Comput. Methods Programs Biomed..
[10] Abdulhamit Subasi,et al. Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients , 2005, Expert Syst. Appl..
[11] David S. Broomhead,et al. Multivariable Functional Interpolation and Adaptive Networks , 1988, Complex Syst..
[12] C.W. Anderson,et al. Comparison of linear, nonlinear, and feature selection methods for EEG signal classification , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[13] Jacques Froment,et al. Artifact free signal denoising with wavelets , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[14] Cenk Sahin,et al. A Radial Basis Function Neural Network Model for Classification of Epilepsy Using EEG Signals , 2008, Journal of Medical Systems.
[15] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[16] Rainer Storn,et al. System design by constraint adaptation and differential evolution , 1999, IEEE Trans. Evol. Comput..
[17] Elif Derya Übeyli. Combined neural network model employing wavelet coefficients for EEG signals classification , 2009, Digit. Signal Process..
[18] E. Mine Cinar,et al. Neural Networks: A New Tool for Predicting Thrift Failures , 1992 .
[19] K Lehnertz,et al. Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[20] H. Aurlien,et al. EEG background activity described by a large computerized database , 2004, Clinical Neurophysiology.
[21] Tian-Shyug Lee,et al. Mining the customer credit using classification and regression tree and multivariate adaptive regression splines , 2006, Comput. Stat. Data Anal..
[22] Ahmet Alkan,et al. Automatic seizure detection in EEG using logistic regression and artificial neural network , 2005, Journal of Neuroscience Methods.
[23] Sung-Bae Cho,et al. Differential Evolution-Based Optimization of Kernel Parameters in Radial Basis Function Networks for Classification , 2013, Int. J. Appl. Evol. Comput..
[24] A. Fernández-Nieves,et al. Structure formation from mesoscopic soft particles. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[25] John Moody,et al. Fast Learning in Networks of Locally-Tuned Processing Units , 1989, Neural Computation.
[26] Thomas G. Dietterich. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization , 2000, Machine Learning.
[27] K. K. Tan,et al. The spatial location of EEG electrodes: locating the best-fitting sphere relative to cortical anatomy. , 1993, Electroencephalography and clinical neurophysiology.
[28] N Pradhan,et al. Detection of seizure activity in EEG by an artificial neural network: a preliminary study. , 1996, Computers and biomedical research, an international journal.
[29] Donald C. Wunsch,et al. Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG , 2000, Neurocomputing.
[30] Daniel Rivero,et al. Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks , 2010, Journal of Neuroscience Methods.
[31] Elif Derya Übeyli. Decision support systems for time-varying biomedical signals: EEG signals classification , 2009, Expert Syst. Appl..
[32] Cenk Sahin,et al. Neural Network-Based Computer-Aided Diagnosis in Classification of Primary Generalized Epilepsy by EEG Signals , 2009, Journal of Medical Systems.
[33] D. Broomhead,et al. Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks , 1988 .
[34] L. Kuncheva,et al. Combining classifiers: Soft computing solutions. , 2001 .
[35] M. J. D. Powell,et al. Radial basis functions for multivariable interpolation: a review , 1987 .
[36] Sukhan Lee,et al. A Gaussian potential function network with hierarchically self-organizing learning , 1991, Neural Networks.
[37] Abdulhamit Subasi,et al. Epileptic seizure detection using dynamic wavelet network , 2005, Expert Syst. Appl..
[38] Elif Derya íbeyli. Decision support systems for time-varying biomedical signals: EEG signals classification , 2009 .
[39] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[40] Abdulhamit Subasi,et al. EEG signal classification using wavelet feature extraction and a mixture of expert model , 2007, Expert Syst. Appl..
[41] Jooyoung Park,et al. Universal Approximation Using Radial-Basis-Function Networks , 1991, Neural Computation.
[42] V. Srinivasan,et al. Artificial Neural Network Based Epileptic Detection Using Time-Domain and Frequency-Domain Features , 2005, Journal of Medical Systems.
[43] Steven Guan,et al. Input Space Partitioning for Neural Network Learning , 2013, Int. J. Appl. Evol. Comput..