Ulas Baran Baloglu

Orcid: 0000-0002-2045-9922

According to our database1, Ulas Baran Baloglu authored at least 13 papers between 2017 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2021
Deep Neural Network Trained on Surface ECG Improves Diagnostic Accuracy of Prior Myocardial Infarction Over Q Wave Analysis.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
A deep convolutional neural network model for automated identification of abnormal EEG signals.
Neural Comput. Appl., 2020

Automated detection of COVID-19 cases using deep neural networks with X-ray images.
Comput. Biol. Medicine, 2020

Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review.
Comput. Biol. Medicine, 2020

2019
Classification of myocardial infarction with multi-lead ECG signals and deep CNN.
Pattern Recognit. Lett., 2019

Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals.
J. Medical Syst., 2019

Application of deep transfer learning for automated brain abnormality classification using MR images.
Cogn. Syst. Res., 2019

A new approach for arrhythmia classification using deep coded features and LSTM networks.
Comput. Methods Programs Biomed., 2019

Convolutional neural networks for multi-class brain disease detection using MRI images.
Comput. Medical Imaging Graph., 2019

Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals.
Comput. Biol. Medicine, 2019

2018
An Agent-Based Pythagorean Fuzzy Approach for Demand Analysis with Incomplete Information.
Int. J. Intell. Syst., 2018

Lightweight privacy-preserving data aggregation scheme for smart grid metering infrastructure protection.
Int. J. Crit. Infrastructure Prot., 2018

2017
A fuzzy queueing based model for controlling power demand of electric vehicle charging.
Proceedings of the Symposium for Young Scientists in Technology, 2017


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