Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals
出版年份 2019 全文链接
标题
Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals
作者
关键词
-
出版物
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2019-01-06
DOI
10.1007/s00521-018-03980-2
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Classification of imbalanced ECG beats using re-sampling techniques and AdaBoost ensemble classifier
- (2018) Kandala N.V.P.S. Rajesh et al. Biomedical Signal Processing and Control
- A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification
- (2018) Özal Yildirim COMPUTERS IN BIOLOGY AND MEDICINE
- Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system
- (2018) Paweł Pławiak EXPERT SYSTEMS WITH APPLICATIONS
- An ICA-EBM-Based sEMG Classifier for Recognizing Lower Limb Movements in Individuals With and Without Knee Pathology
- (2018) Ganesh R. Naik et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Dynamic classifier selection: Recent advances and perspectives
- (2018) Rafael M.O. Cruz et al. Information Fusion
- Novel genetic ensembles of classifiers applied to myocardium dysfunction recognition based on ECG signals
- (2018) Paweł Pławiak Swarm and Evolutionary Computation
- Automatic recognition of arrhythmia based on principal component analysis network and linear support vector machine
- (2018) Weiyi Yang et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Arrhythmia detection using deep convolutional neural network with long duration ECG signals
- (2018) Özal Yıldırım et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A deep convolutional neural network model for automated identification of abnormal EEG signals
- (2018) Özal Yıldırım et al. NEURAL COMPUTING & APPLICATIONS
- A new nested ensemble technique for automated diagnosis of breast cancer
- (2018) Moloud Abdar et al. PATTERN RECOGNITION LETTERS
- Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS
- (2018) Krzysztof Rzecki et al. SENSORS
- Ensemble learning for data stream analysis: A survey
- (2017) Bartosz Krawczyk et al. Information Fusion
- Person recognition based on touch screen gestures using computational intelligence methods
- (2017) Krzysztof Rzecki et al. INFORMATION SCIENCES
- Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network
- (2017) U. Rajendra Acharya et al. INFORMATION SCIENCES
- Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
- (2017) U. Rajendra Acharya et al. INFORMATION SCIENCES
- Improving the Diagnosis of Liver Disease Using Multilayer Perceptron Neural Network and Boosted Decision Trees
- (2017) Moloud Abdar et al. Journal of Medical and Biological Engineering
- Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals
- (2016) Fatin A. Elhaj et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- ECG-based heartbeat classification for arrhythmia detection: A survey
- (2016) Eduardo José da S. Luz et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Neural networks: An overview of early research, current frameworks and new challenges
- (2016) Alberto Prieto et al. NEUROCOMPUTING
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Comparison of computational intelligence methods on the example of phenol approximation based on signals from metal oxide sensor array
- (2014) Pawel Plawiak et al. IEEE SENSORS JOURNAL
- An estimation of the state of consumption of a positive displacement pump based on dynamic pressure or vibrations using neural networks
- (2014) Paweł Pławiak NEUROCOMPUTING
- Heartbeat classification using disease-specific feature selection
- (2013) Zhancheng Zhang et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Representation Learning: A Review and New Perspectives
- (2013) Y. Bengio et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Classification of tea specimens using novel hybrid artificial intelligence methods
- (2013) Paweł Pławiak et al. SENSORS AND ACTUATORS B-CHEMICAL
- Application of principal component analysis to ECG signals for automated diagnosis of cardiac health
- (2012) Roshan Joy Martis et al. EXPERT SYSTEMS WITH APPLICATIONS
- ECG arrhythmia classification based on optimum-path forest
- (2012) Eduardo José da S. Luz et al. EXPERT SYSTEMS WITH APPLICATIONS
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- Optimization of ECG Classification by Means of Feature Selection
- (2011) T. Mar et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification
- (2011) G. de Lannoy et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
- (2011) Joaquín Derrac et al. Swarm and Evolutionary Computation
- Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]
- (2010) I Arel et al. IEEE Computational Intelligence Magazine
- Heartbeat Classification Using Feature Selection Driven by Database Generalization Criteria
- (2010) Mariano Llamedo et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- A systematic analysis of performance measures for classification tasks
- (2009) Marina Sokolova et al. INFORMATION PROCESSING & MANAGEMENT
- Overfitting cautious selection of classifier ensembles with genetic algorithms
- (2008) Eulanda M. Dos Santos et al. Information Fusion
- Classifier ensembles: Select real-world applications
- (2007) Nikunj C. Oza et al. Information Fusion
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