Zümray Dokur

Orcid: 0000-0001-7660-3236

According to our database1, Zümray Dokur authored at least 42 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Classification of brain strokes using divergence-based convolutional neural networks.
Biomed. Signal Process. Control., 2024

Impact of Noise Elimination Methods on Classification Performance in Motor Imagery EEG.
Proceedings of the Novel and Intelligent Digital Systems: Proceedings of the 4th International Conference, 2024

2023
Generating ten BCI commands using four simple motor imageries and classification by divergence-based DNN.
Neural Comput. Appl., 2023

2022
Brain tumor classification by using a novel convolutional neural network structure.
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
Generating Ten BCI Commands Using Four Simple Motor Imageries.
CoRR, 2021

Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix.
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

Detection of BGA solder defects from X-ray images using deep neural network.
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
Protein fold classification with Grow-and-Learn network.
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

Protein Fold Classification using Kohonen's Self-Organizing Map.
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

Improved T-Weight method in classification of slow cortical potentials.
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
Respiratory sound classification by using an incremental supervised neural network.
Pattern Anal. Appl., 2009

Medical image segmentation with transform and moment based features and incremental supervised neural network.
Digit. Signal Process., 2009

Feature determination for heart sounds based on divergence analysis.
Digit. Signal Process., 2009

2008
Tissue segmentation in ultrasound images by using genetic algorithms.
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
An incremental neural network for tissue segmentation in ultrasound images.
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

Compression of Medical Images by Using Artificial Neural Networks.
Proceedings of the Intelligent Computing, 2006

2005
Segmentation of remote-sensing images by incremental neural network.
Pattern Recognit. Lett., 2005

2003
Classification of heart sounds using an artificial neural network.
Pattern Recognit. Lett., 2003

Application of InP Neural Network to ECG BeatClassification.
Neural Comput. Appl., 2003

Segmentation of MR and CT Images by Using a Quantiser Neural Network.
Neural Comput. Appl., 2003

Classification of Respiratory Sounds by Using an Artificial Neural Network .
Int. J. Pattern Recognit. Artif. Intell., 2003

2002
Segmentation of ultrasound images by using a hybrid neural network.
Pattern Recognit. Lett., 2002

Segmentation of MR and CT Images Using a Hybrid Neural Network Trained by Genetic Algorithms.
Neural Process. Lett., 2002

Recursive Form of the Discrete Fourier Transform for Two-Dimensional Signals.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

Segmentation of Ultrasound Images by Using Quantizer Neural Network.
Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 2002

2001
ECG beat classification by a novel hybrid neural network.
Comput. Methods Programs Biomed., 2001


  Loading...