A. T. Kabakus

发表

APK Auditor: Permission-based Android malware detection system

Abdullah Talha Kabakus, Ibrahim Alper Dogru, Aydin Cetin, 2015, Digit. Investig..

Finding Influencers on Twitter with Using Machine Learning Classification Algorithms

M. Şimşek, A. T. Kabakus, Mehmet Şimşek, 2018 .

The Importance of Informatics for Health Care Industry

R. Kara, A. T. Kabakus, 2016 .

An experimental comparison of the widely used pre‐trained deep neural networks for image classification tasks towards revealing the promise of transfer‐learning

A. T. Kabakus, P. Erdoğmuş, 2022, Concurrency and Computation: Practice and Experience.

DroidMalwareDetector: A novel Android malware detection framework based on convolutional neural network

A. T. Kabakus, 2022, Expert Syst. Appl..

An in-depth analysis of Android malware using hybrid techniques

Abdullah Talha Kabakus, Ibrahim Alper Dogru, A. T. Kabakus, 2018, Digit. Investig..

TwitterSentiDetector: a domain-independent Twitter sentiment analyser

Abdullah Talha Kabakus, Resul Kara, R. Kara, 2018, INFOR Inf. Syst. Oper. Res..

PyFER: A Facial Expression Recognizer Based on Convolutional Neural Networks

Abdullah Talha Kabakus, A. T. Kabakus, 2020, IEEE Access.

NATURAL LANGUAGE QUESTION ANSWERING SYSTEM OVER LINKED DATA

Aydın Çetin, Abdullah Talha Kabakuş, A. T. Kabakus, 2019, Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering.

"TwitterSpamDetector": A Spam Detection Framework for Twitter

Abdullah Talha Kabakus, Resul Kara, R. Kara, 2019, Int. J. Knowl. Syst. Sci..

A Survey of Spam Detection Methods on Twitter

Abdullah Talha Kabakus, Resul Kara, R. Kara, 2017 .

A novel COVID‐19 sentiment analysis in Turkish based on the combination of convolutional neural network and bidirectional long‐short term memory on Twitter

A. T. Kabakus, 2022, Concurr. Comput. Pract. Exp..

An Experimental Performance Comparison of Widely Used Face Detection Tools

Abdullah Talha Kabakus, A. T. Kabakus, A. T. Kabakuş, 2019, ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal.

A transfer learning-based deep learning approach for automated COVID-19 diagnosis with audio data

D. Akgün, A. T. Kabakus, Z. Senturk, 2021, Turkish J. Electr. Eng. Comput. Sci..

What Static Analysis Can Utmost Offer for Android Malware Detection

Abdullah Talha Kabakus, A. T. Kabakus, 2019, Inf. Technol. Control..

The promise of convolutional neural networks for the early diagnosis of the Alzheimer's disease

A. T. Kabakus, P. Erdoğmuş, 2023, Eng. Appl. Artif. Intell..

A novel robust convolutional neural network for uniform resource locator classification from the view of cyber security

A. T. Kabakus, A. T. Kabakuş, 2022, Concurr. Comput. Pract. Exp..

A novel handwritten Turkish letter recognition model based on convolutional neural network

Pakize Erdogmus, Abdullah Talha Kabakus, A. T. Kabakus, 2021, Concurr. Comput. Pract. Exp..

A Novel Sketch Recognition Model based on Convolutional Neural Networks

Abdullah Talha Kabakus, A. T. Kabakus, 2020, 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA).

A Performance Evaluation of Dropbox in the light of Personal Cloud Storage Systems

Abdullah Talha Kabakus, Resul Kara, R. Kara, 2017 .

The Data Science Met with the COVID-19: Revealing the Most Critical Measures Taken for the COVID-19 Pandemic

A. T. Kabakus, 2020, Sakarya University Journal of Computer and Information Sciences.

A Comparison of the State-of-the-Art Deep Learning Platforms: An Experimental Study

A. T. Kabakus, A. T. Kabakuş, 2020, Sakarya University Journal of Computer and Information Sciences.