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2020 – today
- 2024
[j27]Özlem Polat
, Zümray Dokur, Tamer Ölmez:
Classification of brain strokes using divergence-based convolutional neural networks. Biomed. Signal Process. Control. 93: 106193 (2024)- 2023
- [j26]Nuri Korhan, Tamer Ölmez, Zümray Dokur:
Generating ten BCI commands using four simple motor imageries and classification by divergence-based DNN. Neural Comput. Appl. 35(2): 1303-1322 (2023) - 2022
- [j25]Muhammad Ammar Ali, Süreyya Özögür-Akyüz, Adil Deniz Duru, Melisa Caliskan, Ceylan Demir, Tugba Bostanci, Farouk Elsallak, Mohammad Shkokani, Zümray Dokur, Tamer Ölmez, Can Ergün, Nerses Bebek, Gizem Yilmaz:
Neurological effects of long-term diet on obese and overweight individuals: An electroencephalogram and event-related potential study. Comput. Intell. 38(3): 1163-1182 (2022) - [j24]Özlem Polat, Zümray Dokur, Tamer Ölmez:
Brain tumor classification by using a novel convolutional neural network structure. Int. J. Imaging Syst. Technol. 32(5): 1646-1660 (2022) - [i5]Zümray Dokur, Tamer Ölmez:
Classification of Hyperspectral Images by Using Spectral Data and Fully Connected Neural Network. CoRR abs/2201.02821 (2022) - 2021
- [j23]Zümray Dokur, Tamer Ölmez:
Classification of motor imagery electroencephalogram signals by using a divergence based convolutional neural network. Appl. Soft Comput. 113(Part): 107881 (2021) - [j22]Özlem Polat, Zümray Ölmez, Tamer Ölmez:
Determination of Pneumonia in X-ray Chest Images by Using Convolutional Neural Network. Turkish J. Electr. Eng. Comput. Sci. 29(3): 1615-1627 (2021) - [i4]Zümray Dokur, Tamer Ölmez:
Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural Network. CoRR abs/2103.10977 (2021) - [i3]Tamer Ölmez, Zümray Dokur:
Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix. CoRR abs/2104.00035 (2021) - [i2]Nuri Korkan, Tamer Ölmez, Zümray Dokur:
Generating Ten BCI Commands Using Four Simple Motor Imageries. CoRR abs/2105.14493 (2021) - 2020
- [j21]Ceren Türer Akdeniz, Zümray Dokur, Tamer Ölmez:
Detection of BGA solder defects from X-ray images using deep neural network. Turkish J. Electr. Eng. Comput. Sci. 28(4): 2020-2029 (2020) - [j20]Zümray Dokur, Tamer Ölmez:
Heartbeat classification by using a convolutional neural network trained with Walsh functions. Neural Comput. Appl. 32(16): 12515-12534 (2020) - [i1]Kaleem Nawaz Khan, Faiq Ahmad Khan, Anam Abid, Tamer Ölmez, Zümray Dokur, Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Muhammad Salman Khan:
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning. CoRR abs/2012.08406 (2020)
2010 – 2019
- 2018
- [j19]Selim Dilmaç, Zümray Dokur, Tamer Ölmez:
Comparative analysis of MABC with KNN, SOM, and ACO algorithms for ECG heartbeat classification. Turkish J. Electr. Eng. Comput. Sci. 26(6): 2820-2831 (2018) - 2016
- [c9]Ayhan Yüksel, Tamer Ölmez:
Filter Bank Common Spatio-Spectral Patterns for Motor Imagery Classification. ITBAM 2016: 69-84 - 2015
- [j18]Berat Dogan, Tamer Ölmez:
A novel state space representation for the solution of 2D-HP protein folding problem using reinforcement learning methods. Appl. Soft Comput. 26: 213-223 (2015) - [j17]Berat Dogan, Tamer Ölmez:
A new metaheuristic for numerical function optimization: Vortex Search algorithm. Inf. Sci. 293: 125-145 (2015) - [c8]Mecit Emre Duman, Ayhan Yüksel, Tamer Ölmez:
Divergent common spatial patterns method. SIU 2015: 612-615 - 2014
- [c7]Ayhan Yüksel, Tamer Ölmez:
Task Related and Spatially Regularized Common Spatial Patterns for Brain Computer Interfaces. IWBBIO 2014: 42-53 - [c6]Berat Dogan, Tamer Ölmez:
Fuzzy Clustering of ECG Beats Using a New Metaheuristic Approach. IWBBIO 2014: 54-65 - 2010
- [j16]Mehmet Korürek, Ayhan Yüksel, Zümray Dokur, Tamer Ölmez:
Dimension reduction by a novel unified scheme using divergence analysis and genetic search. Digit. Signal Process. 20(6): 1535-1546 (2010) - [j15]Mehmet Korürek, Ayhan Yüksel, Zafer Iscan, Zümray Dokur, Tamer Ölmez:
Retrospective correction of near field effect of X-ray source in radiographic images by using genetic algorithms. Expert Syst. Appl. 37(3): 1946-1954 (2010) - [j14]Zafer Iscan, Zümray Dokur, Tamer Ölmez:
Tumor detection by using Zernike moments on segmented magnetic resonance brain images. Expert Syst. Appl. 37(3): 2540-2549 (2010)
2000 – 2009
- 2009
- [j13]Zümray Dokur, Tamer Ölmez:
Feature determination for heart sounds based on divergence analysis. Digit. Signal Process. 19(3): 521-531 (2009) - [j12]Zafer Iscan, Ayhan Yüksel, Zümray Dokur, Mehmet Korürek, Tamer Ölmez:
Medical image segmentation with transform and moment based features and incremental supervised neural network. Digit. Signal Process. 19(5): 890-901 (2009) - [c5]Ayhan Yüksel, Tamer Ölmez:
Automatic Segmentation of Bone Tissue in X-Ray Hand Images. ICANNGA 2009: 590-599 - 2008
- [j11]Zümray Dokur, Tamer Ölmez:
Heart sound classification using wavelet transform and incremental self-organizing map. Digit. Signal Process. 18(6): 951-959 (2008) - [j10]Zümray Dokur, Tamer Ölmez:
Tissue segmentation in ultrasound images by using genetic algorithms. Expert Syst. Appl. 34(4): 2739-2746 (2008) - 2007
- [j9]Mehmet Nadir Kurnaz, Zümray Dokur, Tamer Ölmez:
An incremental neural network for tissue segmentation in ultrasound images. Comput. Methods Programs Biomed. 85(3): 187-195 (2007) - 2006
- [c4]Zümray Dokur, Zafer Iscan, Tamer Ölmez:
Segmentation of Medical Images by Using Wavelet Transform and Incremental Self-Organizing Map. MICAI 2006: 800-809 - 2005
- [j8]Mehmet Nadir Kurnaz, Zümray Dokur, Tamer Ölmez:
Segmentation of remote-sensing images by incremental neural network. Pattern Recognit. Lett. 26(8): 1096-1104 (2005) - 2003
- [j7]Zümray Dokur, Tamer Ölmez:
Classification of Respiratory Sounds by Using an Artificial Neural Network . Int. J. Pattern Recognit. Artif. Intell. 17(4): 567-580 (2003) - [j6]Tamer Ölmez, Zümray Dokur:
Application of InP Neural Network to ECG BeatClassification. Neural Comput. Appl. 11(3-4): 144-155 (2003) - [j5]Zümray Dokur, Tamer Ölmez:
Segmentation of MR and CT Images by Using a Quantiser Neural Network. Neural Comput. Appl. 11(3-4): 168-177 (2003) - [j4]Tamer Ölmez, Zümray Dokur:
Classification of heart sounds using an artificial neural network. Pattern Recognit. Lett. 24(1-3): 617-629 (2003) - 2002
- [j3]Zümray Dokur, Tamer Ölmez:
Segmentation of ultrasound images by using a hybrid neural network. Pattern Recognit. Lett. 23(14): 1825-1836 (2002) - [c3]Mehmet Nadir Kurnaz, Tamer Ölmez:
Determination of Features for Heart Sounds by Using Wavelet Transforms. CBMS 2002: 155-158 - [c2]Zümray Dokur, Mehmet Nadir Kurnaz, Tamer Ölmez:
Segmentation of Ultrasound Images by Using Quantizer Neural Network. CBMS 2002: 257-261 - [c1]Zümray Dokur, Tamer Ölmez:
Recursive Form of the Discrete Fourier Transform for Two-Dimensional Signals. IDEAL 2002: 551-556 - 2001
- [j2]Zümray Dokur, Tamer Ölmez:
ECG beat classification by a novel hybrid neural network. Comput. Methods Programs Biomed. 66(2-3): 167-181 (2001)
1990 – 1999
- 1995
- [j1]Tamer Ölmez, Ertugrul Yazgan, Okan K. Ersoy:
A multilayer incremental neural network architecture for classification. Neural Process. Lett. 2(2): 5-9 (1995)
Coauthor Index
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