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ORCIDZafer Cömert
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- affiliation: Bitlis Eren University, Department of Computer Engineering, Turkey
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2020 – today
- 2024
[c10]Berna Gürler Ari, Zafer Cömert:
Scene Text Recognition Using Permutated Autoregressive Sequence Model and YOLOv8. SIU 2024: 1-4- 2022
- [j19]Erdal Basaran
, Zafer Cömert, Yüksel Çelik:
Neighbourhood component analysis and deep feature-based diagnosis model for middle ear otoscope images. Neural Comput. Appl. 34(8): 6027-6038 (2022) - 2021
- [j18]Ümit Budak, Musa Çibuk, Zafer Cömert, Abdulkadir Sengür:
Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism. J. Digit. Imaging 34(2): 263-272 (2021) - [j17]Mesut Togaçar, Burhan Ergen, Zafer Cömert:
Tumor type detection in brain MR images of the deep model developed using hypercolumn technique, attention modules, and residual blocks. Medical Biol. Eng. Comput. 59(7-8): 57-70 (2021) - [j16]Mesut Togaçar, Burhan Ergen, Zafer Cömert:
Detection of weather images by using spiking neural networks of deep learning models. Neural Comput. Appl. 33(11): 6147-6159 (2021) - [j15]Mesut Togaçar, Zafer Cömert, Burhan Ergen:
Enhancing of dataset using DeepDream, fuzzy color image enhancement and hypercolumn techniques to detection of the Alzheimer's disease stages by deep learning model. Neural Comput. Appl. 33(16): 9877-9889 (2021) - [j14]Adi Alhudhaif, Zafer Cömert, Kemal Polat:
Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm. PeerJ Comput. Sci. 7: e405 (2021) - [j13]Shahad Al-yousif, Ariep Jaenul, Wisam Al-Dayyeni, Abdullah Hussein Alamoodi, Ihab Jabori, Nooritawati Md Tahir, Ali Amer Ahmed Alrawi, Zafer Cömert, Nael A. Al-shareefi, Abbadullah H. Saleh:
A systematic review of automated pre-processing, feature extraction and classification of cardiotocography. PeerJ Comput. Sci. 7: e452 (2021) - 2020
- [j12]Nihat Daldal, Zafer Cömert, Kemal Polat:
Automatic determination of digital modulation types with different noises using Convolutional Neural Network based on time-frequency information. Appl. Soft Comput. 86 (2020) - [j11]Majid Kamal A. Nour, Zafer Cömert, Kemal Polat:
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization. Appl. Soft Comput. 97(Part): 106580 (2020) - [j10]Mesut Togaçar, Burhan Ergen, Zafer Cömert:
Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods. Appl. Soft Comput. 97(Part B): 106810 (2020) - [j9]Erdal Basaran, Zafer Cömert, Yüksel Çelik:
Convolutional neural network approach for automatic tympanic membrane detection and classification. Biomed. Signal Process. Control. 56 (2020) - [j8]Mesut Togaçar, Burhan Ergen, Zafer Cömert:
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches. Comput. Biol. Medicine 121: 103805 (2020) - [j7]Mesut Togaçar, Zafer Cömert, Burhan Ergen:
Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method. Expert Syst. Appl. 149: 113274 (2020) - [j6]Mesut Togaçar, Zafer Cömert, Burhan Ergen, Fatih Özyurt:
Corrigendum to "Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method" Expert Systems with Applications 149 (2020) 1-8 /113274. Expert Syst. Appl. 150: 113366 (2020)
2010 – 2019
- 2019
- [j5]Ümit Budak, Zafer Cömert, Zryan Najat Rashid, Abdulkadir Sengür, Musa Çibuk:
Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images. Appl. Soft Comput. 85 (2019) - [j4]Yahya Altuntas, Zafer Cömert, Adnan Fatih Kocamaz:
Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach. Comput. Electron. Agric. 163 (2019) - [j3]Zafer Cömert, Abdulkadir Sengür, Ümit Budak, Adnan Fatih Kocamaz:
Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models. Health Inf. Sci. Syst. 7(1): 17 (2019) - 2018
- [j2]Zafer Cömert, Adnan Fatih Kocamaz:
Open-access software for analysis of fetal heart rate signals. Biomed. Signal Process. Control. 45: 98-108 (2018) - [j1]Zafer Cömert, Adnan Fatih Kocamaz, Velappan Subha:
Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment. Comput. Biol. Medicine 99: 85-97 (2018) - [c9]Zafer Cömert, Adnan Fatih Kocamaz:
Fetal Hypoxia Detection Based on Deep Convolutional Neural Network with Transfer Learning Approach. CSOS (1) 2018: 239-248 - [c8]Zafer Cömert, A. Manivanna Boopathi, Subha Velappan, Zhang Yang, Adnan Fatih Kocamaz:
The influences of different window functions and lengths on image-based time-frequency features of fetal heart rate signals. SIU 2018: 1-4 - [c7]Zafer Cömert, Zhang Yang, Subha Velappan, A. Manivanna Boopathi, Adnan Fatih Kocamaz:
Performance evaluation of Empirical Mode Decomposition and Discrete Wavelet Transform for computerized hypoxia detection and prediction. SIU 2018: 1-4 - [c6]Aykut Diker, Engin Avci, Zafer Cömert, Derya Avci, Emine Kacar, Ihsan Serhatlioglu:
Classification of ECG signal by using machine learning methods. SIU 2018: 1-4 - [c5]Aykut Diker, Zafer Cömert, Engin Avci, Subha Velappan:
Intelligent system based on Genetic Algorithm and support vector machine for detection of myocardial infarction from ECG signals. SIU 2018: 1-4 - 2017
- [b1]Zafer Cömert:
Kardiyotokografi işaretlerinin analizi ve makine öğrenmesi teknikleri ile sınıflandırılması (Analysis of cardiotocography signals and classifying with machine learning techniques). İnönü University, Turkey, 2017 - [c4]Zafer Cömert, Adnan Fatih Kocamaz:
Using wavelet transform for cardiotocography signals classification. SIU 2017: 1-4 - [c3]Zafer Cömert, Adnan Fatih Kocamaz:
Cardiotocography analysis based on segmentation-based fractal texture decomposition and extreme learning machine. SIU 2017: 1-4 - 2016
- [c2]Zafer Cömert, Adnan Fatih Kocamaz, Sami Gungor:
Cardiotocography signals with artificial neural network and extreme learning machine. SIU 2016: 1493-1496 - 2015
- [c1]Zafer Cömert, Adnan Fatih Kocamaz:
Determination of QT interval on synthetic electrocardiogram. SIU 2015: 2569-2572
Coauthor Index
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last updated on 2024-08-05 21:25 CEST by the dblp team
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