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2020 – today
- 2022
[i7]Yunus Emre Erdogan, Ali Narin:
Comparison of Classification Algorithms for COVID19 Detection using Cough Acoustic Signals. CoRR abs/2201.04872 (2022)- [i6]Yunus Emre Erdogan, Ali Narin:
Comparison of COVID-19 Prediction Performances of Normalization Methods on Cough Acoustics Sounds. CoRR abs/2201.06078 (2022) - 2021
- [j5]Yunus Emre Erdogan, Ali Narin
:
COVID-19 detection with traditional and deep features on cough acoustic signals. Comput. Biol. Medicine 136: 104765 (2021) - [j4]Ali Narin:
Accurate detection of COVID-19 using deep features based on X-Ray images and feature selection methods. Comput. Biol. Medicine 137: 104771 (2021) - [j3]Ali Narin, Ceren Kaya, Ziynet Pamuk:
Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks. Pattern Anal. Appl. 24(3): 1207-1220 (2021) - [j2]Walid Hariri, Ali Narin:
Deep neural networks for COVID-19 detection and diagnosis using images and acoustic-based techniques: a recent review. Soft Comput. 25(24): 15345-15362 (2021) - [c4]Yunus Emre Erdogan, Ali Narin:
Performance of Emprical Mode Decomposition in Automated Detection of Hypertension Using Electrocardiography. SIU 2021: 1-4 - 2020
- [i5]Ali Narin, Ceren Kaya, Ziynet Pamuk:
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks. CoRR abs/2003.10849 (2020) - [i4]Ali Narin:
Detection of Covid-19 Patients with Convolutional Neural Network Based Features on Multi-class X-ray Chest Images. CoRR abs/2012.05525 (2020) - [i3]Ali Narin, Ziynet Pamuk:
Effect of Different Batch Size Parameters on Predicting of COVID19 Cases. CoRR abs/2012.05534 (2020) - [i2]Ali Narin:
Performance Comparison of Balanced and Unbalanced Cancer Datasets using Pre-Trained Convolutional Neural Network. CoRR abs/2012.05585 (2020) - [i1]Walid Hariri, Ali Narin:
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review. CoRR abs/2012.07655 (2020)
2010 – 2019
- 2017
- [c3]Ali Narin, Mahmut Ozer, Yalçin Isler:
Effect of linear and non-linear measurements of heart rate variability in prediction of PAF attack. SIU 2017: 1-4 - 2014
- [j1]Ali Narin, Yalçin Isler, Mahmut Ozer:
Investigating the performance improvement of HRV Indices in CHF using feature selection methods based on backward elimination and statistical significance. Comput. Biol. Medicine 45: 72-79 (2014) - 2013
- [c2]Ali Narin, Mahmut Ozer, Yalçin Isler:
Comparision of classifier performances in diagnosing congestive heart failure using heart rate variability. SIU 2013: 1-4 - 2012
- [c1]Ali Narin, Yalçin Isler:
Effect of principal component analysis on diagnosing congestive heart failure patients using heart rate records. SIU 2012: 1-4
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