Global Epileptic Seizure Identification With Affinity Propagation Clustering Partition Mutual Information Using Cross-Layer Fully Connected Neural Network
暂无分享,去创建一个
[1] Hossein Pourghassem,et al. Real-time seizure prediction using RLS filtering and interpolated histogram feature based on hybrid optimization algorithm of Bayesian classifier and Hunting search , 2016, Comput. Methods Programs Biomed..
[2] Kaspar Anton Schindler,et al. EEG synchronization measures are early outcome predictors in comatose patients after cardiac arrest , 2017, Clinical Neurophysiology.
[3] David J. Hand,et al. A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems , 2001, Machine Learning.
[4] Tardi Tjahjadi,et al. A Mutual Information Based Adaptive Windowing of Informative EEG for Emotion Recognition , 2020, IEEE Transactions on Affective Computing.
[5] Yann LeCun,et al. Classification of patterns of EEG synchronization for seizure prediction , 2009, Clinical Neurophysiology.
[6] Jing Liu,et al. A new EEG synchronization strength analysis method: S-estimator based normalized weighted-permutation mutual information , 2016, Neural Networks.
[7] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] P. Rapp,et al. Time domain measures of inter-channel EEG correlations: a comparison of linear, nonparametric and nonlinear measures , 2013, Cognitive Neurodynamics.
[9] Gahangir Hossain,et al. Seizure Prediction and Detection via Phase and Amplitude Lock Values , 2016, Front. Hum. Neurosci..
[10] E. Kandel,et al. Neuroscience thinks big (and collaboratively) , 2013, Nature Reviews Neuroscience.
[11] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[12] Seetha Hari,et al. Learning From Imbalanced Data , 2019, Advances in Computer and Electrical Engineering.
[13] Philippe Renevey,et al. SVM-based recursive feature elimination to compare phase synchronization computed from broadband and narrowband EEG signals in Brain-Computer Interfaces , 2005, Signal Process..
[14] Xiaoli Li,et al. Estimation of genuine and random synchronization in multivariate neural series , 2010, Neural Networks.
[15] Jeffrey M. Hausdorff,et al. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .
[16] Shuilong He,et al. A novel intelligent method for bearing fault diagnosis based on affinity propagation clustering and adaptive feature selection , 2017, Knowl. Based Syst..
[17] Koushik Maharatna,et al. Classification of autism spectrum disorder using supervised learning of brain connectivity measures extracted from synchrostates , 2014, Journal of neural engineering.
[18] C. Stam,et al. Seizure detection in adult ICU patients based on changes in EEG synchronization likelihood , 2006, Neurocritical care.
[19] Aamir Saeed Malik,et al. A wavelet-based technique to predict treatment outcome for Major Depressive Disorder , 2017, PloS one.
[20] Lizhe Wang,et al. Global Synchronization Measurement of Multivariate Neural Signals with Massively Parallel Nonlinear Interdependence Analysis , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[21] H. Pourghassem,et al. Patient-Specific Epileptic Seizure Onset Detection Algorithm Based on Spectral Features and IPSONN Classifier , 2013, 2013 International Conference on Communication Systems and Network Technologies.
[22] Neil A. Macmillan,et al. Detection Theory: A User's Guide , 1991 .
[23] Hoon Kim,et al. Monte Carlo Statistical Methods , 2000, Technometrics.
[24] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[25] Dhiya Al-Jumeily,et al. A machine learning system for automated whole-brain seizure detection , 2016 .
[26] Shimon Ullman,et al. Recognition invariance obtained by extended and invariant features , 2004, Neural Networks.
[27] Demis Hassabis,et al. Mastering the game of Go without human knowledge , 2017, Nature.
[28] J. Martinerie,et al. Preictal state identification by synchronization changes in long-term intracranial EEG recordings , 2005, Clinical Neurophysiology.
[29] Pablo F. Diez,et al. Patient non-specific algorithm for seizures detection in scalp EEG , 2016, Comput. Biol. Medicine.
[30] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[31] Delbert Dueck,et al. Clustering by Passing Messages Between Data Points , 2007, Science.
[32] Maria G. Knyazeva,et al. Assessment of EEG synchronization based on state-space analysis , 2005, NeuroImage.
[33] Alok Sharma,et al. An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information , 2017, BMC Bioinformatics.
[34] M. Hasan Shaheed,et al. Cancer classification using a novel gene selection approach by means of shuffling based on data clustering with optimization , 2015, Appl. Soft Comput..
[35] Geoffrey I. Webb,et al. Encyclopedia of Machine Learning , 2011, Encyclopedia of Machine Learning.
[36] Gary E. Birch,et al. Comparison of Evaluation Metrics in Classification Applications with Imbalanced Datasets , 2008, 2008 Seventh International Conference on Machine Learning and Applications.
[37] Elly Gysels. Phase synchronization for classification of spontaneous EEG signals in brain-computer interfaces , 2005 .
[38] Heung-Il Suk,et al. A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.