Huseyin Oztoprak - researchr alias

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Viewing Publication 1 - 8 from 8

2022

A robust ensemble feature selection technique for high-dimensional datasets based on minimum weight threshold methodHuseyin Guney, Huseyin Oztoprak. ci, 38(5):1616-1658, 2022. [doi]

2020

Corrigendum to "Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning"Awwal Muhammad Dawud, Kamil Yurtkan, Huseyin Oztoprak. cin, 2020, 2020. [doi]

2019

Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer LearningAwwal Muhammad Dawud, Kamil Yurtkan, Huseyin Oztoprak. cin, 2019, 2019. [doi]

2018

The Impact of Under-sampling on the Performance of Bootstrap-based Ensemble Feature SelectionHuseyin Guney, Huseyin Oztoprak. siu 2018: 1-4 [doi]

2017

Machine-based learning system: Classification of ADHD and non-ADHD participantsHuseyin Oztoprak, Mehmet Toycan, Yasar Kemal Alp, Orhan Arikan, Elvin Dogutepe, Sirel Karakas. siu 2017: 1-4 [doi]

2014

Analysis of Local Binary Patterns in different color models for person independent facial expression recognitionR. Ameen, Huseyin Oztoprak, Kamil Yurtkan. siu 2014: 1694-1697 [doi]

2013

Application of multiple description coding into AACHuseyin Oztoprak, Ahmet M. Kondoz. siu 2013: 1-4 [doi]

2012

Index assignment-based channel codingHuseyin Oztoprak, Stephane Villette, Ahmet M. Kondoz. iet-com, 6(2):172-178, 2012. [doi]

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