Zafer Cömert

发表

Comparison of Machine Learning Techniques for Fetal Heart Rate Classification

Zafer Cömert, Adnan Fatih Kocamaz, A. F. Kocamaz, 2017 .

Using algorithms for evaluation in web based distance education

Zafer Cömert, Tuncay Sevindik, Z. Cömert, 2010 .

Machine Learning Approach Equipped with Neighbourhood Component Analysis for DDoS Attack Detection in Software-Defined Networking

Zafer Cömert, Erdal Başaran, Özgür Tonkal, 2021, Electronics.

Automatic determination of digital modulation types with different noises using Convolutional Neural Network based on time-frequency information

Kemal Polat, Nihat Daldal, Zafer Cömert, 2020, Appl. Soft Comput..

Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach

Zafer Cömert, Adnan Fatih Kocamaz, Yahya Altuntas, 2019, Comput. Electron. Agric..

COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches

Mesut Toğaçar, Burhan Ergen, Zafer Cömert, 2020, Computers in Biology and Medicine.

A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models

Burhan Ergen, Zafer Cömert, Mesut Togacar, 2020, IRBM.

Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods

Mesut Toğaçar, Burhan Ergen, Zafer Cömert, 2020, Appl. Soft Comput..

Open-access software for analysis of fetal heart rate signals

Zafer Cömert, Adnan Fatih Kocamaz, A. F. Kocamaz, 2018, Biomed. Signal Process. Control..

Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment

Zafer Cömert, Adnan Fatih Kocamaz, Velappan Subha, 2018, Comput. Biol. Medicine.

Evaluation of Fetal Distress Diagnosis during Delivery Stages based on Linear and Nonlinear Features of Fetal Heart Rate for Neural Network Community

Zafer Cömert, Adnan Fatih Kocamaz, A. F. Kocamaz, 2016 .

A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization

Kemal Polat, Zafer Cömert, Majid Nour, 2020, Applied Soft Computing.

A novel demodulation system for base band digital modulation signals based on the deep long short-term memory model

Abdulkadir Sengur, Kemal Polat, Nihat Daldal, 2020 .

Convolutional neural network approach for automatic tympanic membrane detection and classification

Zafer Cömert, Erdal Basaran, Yüksel Çelik, 2020, Biomed. Signal Process. Control..

A systematic review of automated pre-processing, feature extraction and classification of cardiotocography

Nooritawati Md. Tahir, A. H. Alamoodi, Zafer Cömert, 2021, PeerJ Comput. Sci..

Detection of weather images by using spiking neural networks of deep learning models

Mesut Toğaçar, Burhan Ergen, Zafer Cömert, 2020, Neural Computing and Applications.

Efficient approach for digitization of the cardiotocography signals

Umit Budak, Yaman Akbulut, Abdulkadir Şengür, 2020 .

A Simple and Effective Approach for Digitization of the CTG Signals from CTG Traces

Umit Budak, Yaman Akbulut, Abdulkadir Şengür, 2019, IRBM.

Fetal Hypoxia Detection Based on Deep Convolutional Neural Network with Transfer Learning Approach

Zafer Cömert, Adnan Fatih Kocamaz, A. F. Kocamaz, 2018, CSOS.

Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism

A. Şengür, Ü. Budak, Zafer Cömert, 2021, Journal of Digital Imaging.

Cardiotocography signals with artificial neural network and extreme learning machine

Zafer Cömert, Adnan Fatih Kocamaz, Sami Gungor, 2016, 2016 24th Signal Processing and Communication Application Conference (SIU).

A Diagnostic Model for Identification of Myocardial Infarction from Electrocardiography Signals

Engin Avci, Zafer Cömert, Aykut Diker, 2017 .

A Study of Artificial Neural Network Training Algorithms for Classification of Cardiotocography Signals

Zafer Cömert, Adnan Fatih Kocamaz, A. F. Kocamaz, 2017 .

Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models

Burhan Ergen, Zafer Cömert, Mesut Togacar, 2020 .

Comparison of Machine Learning Techniques for Fetal Heart Rate Classification

Zafer Cömert, Adnan Fatih Kocamaz, A. F. Kocamaz, 2017 .

Performance evaluation of Empirical Mode Decomposition and Discrete Wavelet Transform for computerized hypoxia detection and prediction

Zhang Yang, Zafer Cömert, Adnan Fatih Kocamaz, 2018, 2018 26th Signal Processing and Communications Applications Conference (SIU).

Predicting fetal hypoxia using common spatial pattern and machine learning from cardiotocography signals

Mesut Toğaçar, Kemal Polat, Wafaa Alsaggaf, 2020 .

Classification of ECG signal by using machine learning methods

Engin Avci, Zafer Cömert, Derya Avci, 2018, 2018 26th Signal Processing and Communications Applications Conference (SIU).

Intelligent system based on Genetic Algorithm and support vector machine for detection of myocardial infarction from ECG signals

Engin Avci, Zafer Cömert, Subha Velappan, 2018, 2018 26th Signal Processing and Communications Applications Conference (SIU).