Zümray Dokur
Orcid: 0000-0001-7660-3236
According to our database1,
Zümray Dokur
authored at least 41 papers
between 2001 and 2024.
Collaborative distances:
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Bibliography
2024
Classification of brain strokes using divergence-based convolutional neural networks.
Biomed. Signal Process. Control., 2024
2023
Generating ten BCI commands using four simple motor imageries and classification by divergence-based DNN.
Neural Comput. Appl., 2023
2022
Int. J. Imaging Syst. Technol., 2022
Classification of Hyperspectral Images by Using Spectral Data and Fully Connected Neural Network.
CoRR, 2022
Neurological effects of long-term diet on obese and overweight individuals: An electroencephalogram and event-related potential study.
Comput. Intell., 2022
2021
CoRR, 2021
Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural Network.
CoRR, 2021
Classification of motor imagery electroencephalogram signals by using a divergence based convolutional neural network.
Appl. Soft Comput., 2021
2020
Heartbeat classification by using a convolutional neural network trained with Walsh functions.
Neural Comput. Appl., 2020
Turkish J. Electr. Eng. Comput. Sci., 2020
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning.
CoRR, 2020
2018
Comparative analysis of MABC with KNN, SOM, and ACO algorithms for ECG heartbeat classification.
Turkish J. Electr. Eng. Comput. Sci., 2018
2017
Turkish J. Electr. Eng. Comput. Sci., 2017
2014
A novel steady-state visually evoked potential-based brain-computer interface design: Character Plotter.
Biomed. Signal Process. Control., 2014
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
2011
Classification of electroencephalogram signals with combined time and frequency features.
Expert Syst. Appl., 2011
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011
Classification of EEG in A Steady State Visual Evoked Potential Based Brain Computer Interface Experiment.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011
2010
Retrospective correction of near field effect of X-ray source in radiographic images by using genetic algorithms.
Expert Syst. Appl., 2010
Tumor detection by using Zernike moments on segmented magnetic resonance brain images.
Expert Syst. Appl., 2010
Dimension reduction by a novel unified scheme using divergence analysis and genetic search.
Digit. Signal Process., 2010
2009
Pattern Anal. Appl., 2009
Medical image segmentation with transform and moment based features and incremental supervised neural network.
Digit. Signal Process., 2009
Digit. Signal Process., 2009
2008
Expert Syst. Appl., 2008
A unified framework for image compression and segmentation by using an incremental neural network.
Expert Syst. Appl., 2008
Heart sound classification using wavelet transform and incremental self-organizing map.
Digit. Signal Process., 2008
2007
Comput. Methods Programs Biomed., 2007
2006
Segmentation of Medical Images by Using Wavelet Transform and Incremental Self-Organizing Map.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006
Proceedings of the Intelligent Computing, 2006
2005
Pattern Recognit. Lett., 2005
2003
Pattern Recognit. Lett., 2003
Neural Comput. Appl., 2003
Neural Comput. Appl., 2003
Int. J. Pattern Recognit. Artif. Intell., 2003
2002
Pattern Recognit. Lett., 2002
Segmentation of MR and CT Images Using a Hybrid Neural Network Trained by Genetic Algorithms.
Neural Process. Lett., 2002
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002
Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 2002
2001
Comput. Methods Programs Biomed., 2001