Süreyya Özögür-Akyüz - researchr alias

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Viewing Publication 1 - 18 from 18

2025

AutoFusion of feature pruning for decision making in operations researchPinar Karadayi Atas, Süreyya Özögür-Akyüz. cejor, 33(1):27-50, March 2025. [doi]

FSOCP: feature selection via second-order cone programmingBuse Çisil Güldogus, Süreyya Özögür-Akyüz. cejor, 33(1):51-64, March 2025. [doi]

2024

The use of machine learning techniques for assessing the potential of organizational resilienceTomasz Ewertowski, Buse Çisil Güldogus, Semih Kuter, Süreyya Özögür-Akyüz, Gerhard-Wilhelm Weber, Joanna Sadlowska-Wrzesinska, Elzbieta Racek. cejor, 32(3):685-710, September 2024. [doi]

Predicting stock market by sentiment analysis and deep learningSüreyya Özögür-Akyüz, Pinar Karadayi Atas, Aymane Benkhaldoun. ord, 34(2), 2024. [doi]

2022

Neurological effects of long-term diet on obese and overweight individuals: An electroencephalogram and event-related potential studyMuhammad Ammar Ali, Süreyya Özögür-Akyüz, Adil Deniz Duru, Melisa Caliskan, Ceylan Demir, Tugba Bostanci, Farouk Elsallak, Mohammad Shkokani, Zümray Dokur, Tamer Ölmez, Can Ergün, Nerses Bebek, Gizem Yilmaz. ci, 38(3):1163-1182, 2022. [doi]

2021

Ensemble Based Feature Selection With Hybrid ModelCeylan Demir, Süreyya Özögür-Akyüz, Izzet Göksel. siu 2021: 1-4 [doi]

A novel approach for panel data: An ensemble of weighted functional margin SVM modelsBirsen Eygi Erdogan, Süreyya Özögür-Akyüz, Pinar Karadayi Atas. isci, 557:373-381, 2021. [doi]

2020

Classification of Motor Imagery Task by Using Novel Ensemble Pruning ApproachMuhammad Ammar Ali, Duygu Üçüncü, Pinar Karadayi Atas, Süreyya Özögür-Akyüz. tfs, 28(1):85-91, 2020. [doi]

Ensemble cluster pruning via convex-concave programmingSüreyya Özögür-Akyüz, Buse Cisil Otar, Pinar Karadayi Atas. ci, 36(1):297-319, 2020. [doi]

2016

Adapted Infinite Kernel Learning by Multi-Local AlgorithmSüreyya Özögür-Akyüz, Gürkan Üstünkar, Gerhard-Wilhelm Weber. ijprai, 30(4), 2016. [doi]

2015

Pruning of Error Correcting Output Codes by optimization of accuracy-diversity trade offSüreyya Özögür-Akyüz, Terry Windeatt, Raymond S. Smith. ml, 101(1-3):253-269, 2015. [doi]

2012

Selection of representative SNP sets for genome-wide association studies: a metaheuristic approachGürkan Üstünkar, Süreyya Özögür-Akyüz, Gerhard-Wilhelm Weber, Christoph M. Friedrich, Yesim Aydin Son. ol, 6(6):1207-1218, 2012. [doi]

2011

Guest editorial: model selection and optimization in machine learningSüreyya Özögür-Akyüz, Devrim Ünay, Alexander J. Smola. ml, 85(1-2):1-2, 2011. [doi]

2010

Infinite kernel learning via infinite and semi-infinite programmingSüreyya Özögür-Akyüz, G.-W. Weber. oms, 25(6):937-970, 2010. [doi]

Prediction with the SVM Using Test Point MarginsSüreyya Özögür-Akyüz, Zakria Hussain, John Shawe-Taylor. In Robert Stahlbock, Sven F. Crone, Stefan Lessmann, editors, Data Mining - Special Issue in Annals of Information Systems. Volume 8 of Annals of Information Systems, pages 147-158, Springer, 2010. [doi]

Analysis of SNP-Complex Disease Association by a Novel Feature Selection MethodGürkan Üstünkar, Süreyya Özögür-Akyüz, Gerhard-Wilhelm Weber, Yesim Aydin Son. or 2011: 21-26 [doi]

2009

Medical Image Retrieval and Automatic Annotation: VPA-SABANCI at ImageCLEF 2009Devrim Unay, Octavian Soldea, Süreyya Özögür-Akyüz, Müjdat Çetin, Aytül Erçil. clef 2009: [doi]

A mathematical contribution of statistical learning and continuous optimization using infinite and semi-infinite programming to computational statistics ; İstatiksel öğrenme ve sürekli optimizasyon yöntemlerinin sonsuz ve yarı sonsuz programlama kullanılarak hesaplamalı istatistiğe uygulanmasıSüreyya Özögür-Akyüz. PhD thesis, Middle East Technical University, Çankaya, Ankara, Turkey, 2009. [doi]

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