Akin Özçift

Orcid: 0000-0003-2840-1917

According to our database1, Akin Özçift authored at least 16 papers between 2009 and 2022.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2022
Developing a fake news identification model with advanced deep languagetransformers for Turkish COVID-19 misinformation data.
Turkish J. Electr. Eng. Comput. Sci., 2022

2021
Development of majority vote ensemble feature selection algorithm augmented with rank allocation to enhance Turkish text categorization.
Turkish J. Electr. Eng. Comput. Sci., 2021

2019
Majority vote feature selection algorithm in software fault prediction.
Comput. Sci. Inf. Syst., 2019

2017
TTC-3600: A new benchmark dataset for Turkish text categorization.
J. Inf. Sci., 2017

2016
Regression Analysis Based Software Effort Estimation Method.
Int. J. Softw. Eng. Knowl. Eng., 2016

2015
Yazılım Hata Kestiriminde Kolektif Sınıflandırma Modellerinin Etkisi.
Proceedings of the 9th Turkish National Software Engineering Symposium, 2015

Metin Madenciliği Kullanılarak Yazılım Kullanımına Dair Bulguların Elde Edilmesi.
Proceedings of the 9th Turkish National Software Engineering Symposium, 2015

2014
Forward stage-wise ensemble regression algorithm to improve base regressors prediction ability: an empirical study.
Expert Syst. J. Knowl. Eng., 2014

2013
Genetic algorithm wrapped Bayesian network feature selection applied to differential diagnosis of erythemato-squamous diseases.
Digit. Signal Process., 2013

2012
A Robust Multi-Class Feature Selection Strategy Based on Rotation Forest Ensemble Algorithm for Diagnosis of Erythemato-Squamous Diseases.
J. Medical Syst., 2012

Enhanced Cancer Recognition System Based on Random Forests Feature Elimination Algorithm.
J. Medical Syst., 2012

SVM Feature Selection Based Rotation Forest Ensemble Classifiers to Improve Computer-Aided Diagnosis of Parkinson Disease.
J. Medical Syst., 2012

2011
Biyomedikal verilerin akıllı sistemler ile sınıflandırma başarımlarının analizi (Classification performance analysis of intelligent systems for biomedical data)
PhD thesis, 2011

Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms.
Comput. Methods Programs Biomed., 2011

Random forests ensemble classifier trained with data resampling strategy to improve cardiac arrhythmia diagnosis.
Comput. Biol. Medicine, 2011

2009
Swarm optimized organizing map (SWOM): A swarm intelligence basedoptimization of self-organizing map.
Expert Syst. Appl., 2009


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