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Ahmet Sertbas
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2020 – today
- 2023
- [j18]Meric Yucel, Ahmet Sertbas, Burak Berk Üstündag:
High Performance Time Series Anomaly Detection Using Brain Inspired Cortical Coding Method. IEEE Access 11: 8345-8361 (2023) - [j17]Kadir Tohma, Halil Ibrahim Okur, Yakup Kutlu, Ahmet Sertbas:
Sentiment Analysis in Turkish Question Answering Systems: An Application of Human-Robot Interaction. IEEE Access 11: 66522-66534 (2023) - [j16]Hakan Aydin, Gulsum Zeynep Gurkas Aydin, Ahmet Sertbas, Muhammed Ali Aydin:
Internet of things security: A multi-agent-based defense system design. Comput. Electr. Eng. 111(Part B): 108961 (2023) - 2022
- [j15]Meric Yucel, Serdar Bagis, Ahmet Sertbas, Mehmet Sarikaya, Burak Berk Üstündag:
Brain Inspired Cortical Coding Method for Fast Clustering and Codebook Generation. Entropy 24(11): 1678 (2022) - [c14]Sabit Çakir, Ahmet Sertbas, Muhammed Ali Aydin:
Machine Learning-Based Security Test Model and Evaluation for SIP-Based DoS Attacks. INISTA 2022: 1-5 - [i1]Meric Yucel, Serdar Bagis, Ahmet Sertbas, Mehmet Sarikaya, Burak Berk Üstündag:
Bioinspired Cortex-based Fast Codebook Generation. CoRR abs/2201.12322 (2022) - 2021
- [j14]Murat Koca, Muhammed Ali Aydin, Ahmet Sertbas, Abdül Halim Zaim:
A new distributed anomaly detection approach for log IDS management based on deep learning. Turkish J. Electr. Eng. Comput. Sci. 29(5): 2486-2501 (2021) - [j13]Merve Kanmaz, Muhammed Ali Aydin, Ahmet Sertbas:
A New Geometric Data Perturbation Method for Data Anonymization Based on Random Number Generators. J. Web Eng. 20(6) (2021) - 2020
- [j12]Öznur Sengel, Muhammed Ali Aydin, Ahmet Sertbas:
An Efficient Generation and Security Analysis of Substitution Box Using Fingerprint Patterns. IEEE Access 8: 160158-160176 (2020) - [c13]Fatma Demirezen Yagmur, Ahmet Sertbas:
Automatic Diagnosis of Epilepsy from EEG Signals using Discrete Cosine Transform. SIU 2020: 1-4
2010 – 2019
- 2019
- [j11]Zeynep Turgut, Serpil Üstebay, Muhammed Ali Aydin, Gulsum Zeynep Gurkas Aydin, Ahmet Sertbas:
Performance analysis of machine learning and deep learning classification methods for indoor localization in Internet of things environment. Trans. Emerg. Telecommun. Technol. 30(9) (2019) - 2018
- [j10]Can Eyupoglu, Muhammed Ali Aydin, Abdül Halim Zaim, Ahmet Sertbas:
An Efficient Big Data Anonymization Algorithm Based on Chaos and Perturbation Techniques. Entropy 20(5): 373 (2018) - [c12]Yeliz Karaca, Ahmet Sertbas, Sengül Bayrak:
Classification of Erythematous - Squamous Skin Diseases Through SVM Kernels and Identification of Features with 1-D Continuous Wavelet Coefficient. ICCSA (2) 2018: 107-120 - [c11]Fatma Demirezen Yagmur, Ahmet Sertbas:
Diagnosis of epilepsy in brain MR images using DCT-means. SIU 2018: 1-4 - 2017
- [j9]Asim Sinan Yüksel, Mehmet Erkan Yüksel, Ahmet Sertbas, Abdül Halim Zaim:
Implementation of a web-based service for mobile application risk assessment. Turkish J. Electr. Eng. Comput. Sci. 25: 976-994 (2017) - [c10]Serpil Ustebay, M. Ali Aydin, Ahmet Sertbas, Tülin Atmaca:
A Comparative Analysis of N-Nearest Neighbors (N3) and Binned Nearest Neighbors (BNN) Algorithms for Indoor Localization. CN 2017: 81-90 - [c9]Serpil Ustebay, Züleyha Yiner, M. Ali Aydin, Ahmet Sertbas, Tülin Atmaca:
An Approach for Evaluating Performance of Magnetic-Field Based Indoor Positioning Systems: Neural Network. CN 2017: 412-421 - [c8]Mehmet Fatih Ozturk, Muhammed Ali Aydin, Ahmet Sertbas:
NFC technology based secure virtual cash shopping architecture design. SIU 2017: 1-4 - 2016
- [c7]Zeynep Turgut, Gulsum Zeynep Gurkas Aydin, Ahmet Sertbas:
Indoor Localization Techniques for Smart Building Environment. ANT/SEIT 2016: 1176-1181 - 2015
- [j8]Pelin Görgel, Ahmet Sertbas, Osman Nuri Uçan:
Computer-aided classification of breast masses in mammogram images based on spherical wavelet transform and support vector machines. Expert Syst. J. Knowl. Eng. 32(1): 155-164 (2015) - 2014
- [c6]Zeliha Gormez, Huseyin Seker, Ahmet Sertbas:
Hypertension prediction by multi-objective optimization methods. SIU 2014: 882-885 - [d1]Olcay Kursun, Betul Erdogdu Sakar, M. Erdem Isenkul, Cemal Okan Sakar, Ahmet Sertbas, Fikret S. Gürgen:
Parkinson Speech Dataset with Multiple Types of Sound Recordings. UCI Machine Learning Repository, 2014 - 2013
- [j7]Pelin Görgel, Ahmet Sertbas, Osman N. Uçan:
Mammographical mass detection and classification using Local Seed Region Growing-Spherical Wavelet Transform (LSRG-SWT) hybrid scheme. Comput. Biol. Medicine 43(6): 765-774 (2013) - [j6]Betul Erdogdu Sakar, M. Erdem Isenkul, Cemal Okan Sakar, Ahmet Sertbas, Fikret Gürgen, Sakir Delil, Hulya Apaydin, Olcay Kursun:
Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings. IEEE J. Biomed. Health Informatics 17(4): 828-834 (2013) - [c5]Zeliha Gormez, Ergun Gumus, Ahmet Sertbas, Olcay Kursun:
Comparison of aggregators for multi-objective SNP selection. EMBC 2013: 3062-3065 - [c4]Ergun Gumus, Olcay Kursun, Ahmet Sertbas:
Impact of characteristics in viral integration hotspots on classification performance. SIU 2013: 1-4 - 2012
- [j5]Ergun Gumus, Olcay Kursun, Ahmet Sertbas, Duran Üstek:
Application of canonical correlation analysis for identifying viral integration preferences. Bioinform. 28(5): 651-655 (2012) - [j4]Olcay Kursun, Ergun Gumus, Ahmet Sertbas, Oleg V. Favorov:
Selection of vocal features for Parkinson's Disease diagnosis. Int. J. Data Min. Bioinform. 6(2): 144-161 (2012) - [c3]Zeliha Gormez, Olcay Kursun, Ahmet Sertbas, Nizamettin Aydin, Huseyin Seker:
Statistical bias and variance of gene selection and cross validation methods: A case study on hypertension prediction. BHI 2012: 616-619 - [c2]Betul Erdogdu Sakar, Cemal Okan Sakar, Fikret Gürgen, Ahmet Sertbas, Olcay Kursun:
A validation method for comparing classifiers on imbalanced datasets. SIU 2012: 1-4 - [c1]Pelin Gorgel, Ahmet Sertbas, Osman N. Uçan:
A fuzzy inference system combined with wavelet transform for breast mass classification. TSP 2012: 644-647 - 2010
- [j3]Ergun Gumus, Niyazi Kilic, Ahmet Sertbas, Osman N. Uçan:
Evaluation of face recognition techniques using PCA, wavelets and SVM. Expert Syst. Appl. 37(9): 6404-6408 (2010) - [j2]Pelin Gorgel, Ahmet Sertbas, Osman N. Uçan:
A Wavelet-Based Mammographic Image Denoising and Enhancement with Homomorphic Filtering. J. Medical Syst. 34(6): 993-1002 (2010) - [j1]Niyazi Zekiye Kilic, Pelin Gorgel, Osman N. Uçan, Ahmet Sertbas:
Mammographic Mass Detection using Wavelets as Input to Neural Networks. J. Medical Syst. 34(6): 1083-1088 (2010)
Coauthor Index
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