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Semi-Supervised EEG Signals Classification System for Epileptic Seizure Detection

https://doi.org/10.1109/lsp.2019.2953870
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Pattern Classification
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Automatic Epileptic Seizure Detection in EEG Using Nonsubsampled Wavelet–Fourier Features
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An epileptic seizure detection system based on cepstral analysis and generalized regression neural network
inferredcites →https://doi.org/10.1016/j.bspc.2017.01.005openalex-snapshot
Local pattern transformation based feature extraction techniques for classification of epileptic EEG signals
inferredcites →https://doi.org/10.1016/j.compbiomed.2017.09.017openalex-snapshot
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
inferredcites →https://doi.org/10.1016/j.compbiomed.2019.103355openalex-snapshot
Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals
inferredcites →https://doi.org/10.1016/j.eswa.2011.04.149openalex-snapshot
EEG signals classification using the K-means clustering and a multilayer perceptron neural network model
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A novel approach for classification of epileptic seizures using matrix determinant
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A systematic analysis of performance measures for classification tasks
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Computational models of epileptiform activity
inferredcites →https://doi.org/10.1016/j.jneumeth.2019.108395openalex-snapshot
Early prediction of epileptic seizures using a long-term recurrent convolutional network
inferredcites →https://doi.org/10.1103/physreve.64.061907openalex-snapshot
Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
inferredcites →https://doi.org/10.1109/access.2018.2833746openalex-snapshot
Deep Convolution Neural Network and Autoencoders-Based Unsupervised Feature Learning of EEG Signals
inferredcites →https://doi.org/10.1109/embc.2012.6347156openalex-snapshot
Channel selection for epilepsy seizure prediction method based on machine learning
inferredcites →https://doi.org/10.1109/iciev.2014.6850758openalex-snapshot
A statistical method for automatic detection of seizure and epilepsy in the dual tree complex wavelet transform domain
inferredcites →https://doi.org/10.1109/icnc.2014.6975832openalex-snapshot
Principal component analysis-based neural network with fuzzy membership function for epileptic seizure detection
inferredcites →https://doi.org/10.1109/newcas.2018.8585542openalex-snapshot
Deep Convolutional Bidirectional LSTM Recurrent Neural Network for Epileptic Seizure Detection
inferredcites →https://doi.org/10.1109/tbme.2014.2360101openalex-snapshot
Epileptic Seizure Classification of EEG Time-Series Using Rational Discrete Short-Time Fourier Transform
inferredcites →https://doi.org/10.1109/tnsre.2016.2618937openalex-snapshot
EEG-Based Prediction of Epileptic Seizures Using Phase Synchronization Elicited from Noise-Assisted Multivariate Empirical Mode Decomposition
inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-snapshot
Auto-Encoding Variational Bayes
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Convolutional networks for images, speech, and time series
inferredcites →https://doi.org/10.57702/o9raffedopenalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Semi-Supervised Approach for Labeling Epileptic Seizures in Eeg Recordings
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An Optimized Spiking Neural Network With Weighted Feature Integration for Epilepsy Seizure Detection Using EEG Signal
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Classification of Epileptic Seizures Based on CNN and Guided Back-Propagation for Interpretation Analysis
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A Comprehensive Review of Brain Diseases Classification Using Deep Learning Techniques
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A Survey on Healthcare EEG Classification-Based ML Methods
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Subbands and cumulative sum of subbands based nonlinear features enhance the performance of epileptic seizure detection
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A channel independent generalized seizure detection method for pediatric epileptic seizures
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Hierarchical Harris hawks optimization for epileptic seizure classification
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Automatic epileptic seizure detection using MSA-DCNN and LSTM techniques with EEG signals
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Evaluating CNN Methods for Epileptic Seizure Type Classification Using EEG Data
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