Durmus Ozkan Sahin

Orcid: 0000-0002-0831-7825

According to our database1, Durmus Ozkan Sahin authored at least 14 papers between 2015 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A novel permission-based Android malware detection system using feature selection based on linear regression.
Neural Comput. Appl., March, 2023

A novel Android malware detection system: adaption of filter-based feature selection methods.
J. Ambient Intell. Humaniz. Comput., February, 2023

Low-Resource Neural Machine Translation: A Systematic Literature Review.
IEEE Access, 2023

2022
Android cihazlarda makine öğrenmesi algoritmaları kullanılarak kötücül yazılım tespiti (Malware detection using machine learning algorithms on android devices)
PhD thesis, 2022

LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers.
IEEE Access, 2022

2021
Permission-based Android malware analysis by using dimension reduction with PCA and LDA.
J. Inf. Secur. Appl., 2021

On the Effect of k Values and Distance Metrics in KNN Algorithm for Android Malware Detection.
Adv. Data Sci. Adapt. Anal., 2021

2020
Comparison of Regression Methods in Permission Based Android Malware Detection.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Spam Filtering with KNN: Investigation of the Effect of k Value on Classification Performance.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Filtering Turkish Spam Using LSTM From Deep Learning Techniques.
Proceedings of the 8th International Symposium on Digital Forensics and Security, 2020

2018
Comparison of Classification Algorithms Used Medical Documents Categorization.
CoRR, 2018

A Text Classification Application: Poet Detection from Poetry.
CoRR, 2018

2016
Feature selection in text classification.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015
Two new feature extraction methods for text classification: TESDF and SADF.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015


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