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2020 – today
- 2022
[j13]Mehmet Bozuyla, Akin Özçift:
Developing a fake news identification model with advanced deep languagetransformers for Turkish COVID-19 misinformation data. Turkish J. Electr. Eng. Comput. Sci. 30(3): 908-926 (2022)- 2021
- [j12]Emin Borandag
, Akin Özçift, Yesim Kaygusuz:
Development of majority vote ensemble feature selection algorithm augmented with rank allocation to enhance Turkish text categorization. Turkish J. Electr. Eng. Comput. Sci. 29(2): 514-530 (2021)
2010 – 2019
- 2019
- [j11]Emin Borandag, Akin Özçift, Deniz Kilinç, Fatih Yücalar:
Majority vote feature selection algorithm in software fault prediction. Comput. Sci. Inf. Syst. 16(2): 515-539 (2019) - 2017
- [j10]Deniz Kilinç, Akin Özçift, Fatma Bozyigit, Pelin Yildirim, Fatih Yücalar, Emin Borandag:
TTC-3600: A new benchmark dataset for Turkish text categorization. J. Inf. Sci. 43(2): 174-185 (2017) - 2016
- [j9]Fatih Yücalar, Deniz Kilinç, Emin Borandag, Akin Özçift:
Regression Analysis Based Software Effort Estimation Method. Int. J. Softw. Eng. Knowl. Eng. 26(5): 807-826 (2016) - 2015
- [c2]Deniz Kilinç, Fatma Bozyigit, Akin Özçift, Fatih Yücalar, Emin Borandag:
Metin Madenciliği Kullanılarak Yazılım Kullanımına Dair Bulguların Elde Edilmesi. UYMS 2015 - [c1]Deniz Kilinç, Emin Borandag, Fatih Yücalar, Akin Özçift, Fatma Bozyigit:
Yazılım Hata Kestiriminde Kolektif Sınıflandırma Modellerinin Etkisi. UYMS 2015 - 2014
- [j8]Akin Özçift:
Forward stage-wise ensemble regression algorithm to improve base regressors prediction ability: an empirical study. Expert Syst. J. Knowl. Eng. 31(1): 1-8 (2014) - 2013
- [j7]Akin Özçift, Arif Gülten:
Genetic algorithm wrapped Bayesian network feature selection applied to differential diagnosis of erythemato-squamous diseases. Digit. Signal Process. 23(1): 230-237 (2013) - 2012
- [j6]Akin Özçift, Arif Gülten:
A Robust Multi-Class Feature Selection Strategy Based on Rotation Forest Ensemble Algorithm for Diagnosis of Erythemato-Squamous Diseases. J. Medical Syst. 36(2): 941-949 (2012) - [j5]Akin Özçift:
SVM Feature Selection Based Rotation Forest Ensemble Classifiers to Improve Computer-Aided Diagnosis of Parkinson Disease. J. Medical Syst. 36(4): 2141-2147 (2012) - [j4]Akin Özçift:
Enhanced Cancer Recognition System Based on Random Forests Feature Elimination Algorithm. J. Medical Syst. 36(4): 2577-2585 (2012) - 2011
- [b1]Akin Özçift:
Biyomedikal verilerin akıllı sistemler ile sınıflandırma başarımlarının analizi (Classification performance analysis of intelligent systems for biomedical data). Fırat University, Turkey, 2011 - [j3]Akin Özçift:
Random forests ensemble classifier trained with data resampling strategy to improve cardiac arrhythmia diagnosis. Comput. Biol. Medicine 41(5): 265-271 (2011) - [j2]Akin Özçift, Arif Gülten:
Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms. Comput. Methods Programs Biomed. 104(3): 443-451 (2011)
2000 – 2009
- 2009
- [j1]Akin Özçift, Mehmet Kaya, Arif Gülten, Mustafa Karabulut:
Swarm optimized organizing map (SWOM): A swarm intelligence basedoptimization of self-organizing map. Expert Syst. Appl. 36(7): 10640-10648 (2009)
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