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Author

Hüseyin Öztoprak

Observed names: H. Oztoprak, H. Öztoprak, Huseyin Oztoprak
Observed institution: Cyprus International University
ORCID: 0000-0003-1853-3510
Observed ORCID: 0000-0003-1853-3510
OpenAlex ID: A5042124250
Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning
2019 · Awwal Muhammad Dawud, Kamil Yurtkan, et al. · Computational Intelligence and Neuroscience · 146
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Machine-based classification of ADHD and nonADHD participants using time/frequency features of event-related neuroelectric activity
2017 · Hüseyin Öztoprak, Mehmet Toycan, et al. · Clinical Neurophysiology · 45
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Microarray‐based cancer diagnosis: repeated cross‐validation‐based ensemble feature selection
2018 · H. Güney, H. Öztoprak · Electronics Letters · 10
Optimizing ResNet-50 for Multiclass Classification: A Multi-Stage Learning Approach
2025 · Mustafa Kemal Ambar, Hüseyin Öztoprak, et al. · IEEE Access · 9
Importance Of Continuous Improvement of Machine Learning Algorithms From A Health Care Management And Management Information Systems Perspective
2021 · Abdulhafis Abdulazeez Osuwa, Huseyin Oztoprak · International Conference on Engineering and Emerging Technologies (ICEET) · 9
Environmental Awareness of University Students on White Cheese Waste Water
2017 · Doğa Kavaz, Hüseyin Öztoprak · Eurasia Journal of Mathematics Science and Technology Education · 9
Machine-based learning system: Classification of ADHD and non-ADHD participants
2017 · Huseyin Oztoprak, Mehmet Toycan, et al. · Signal Processing and Communications Applications Conference (SIU) · 7
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Deep neural network to differentiate brain activity between patients with euthymic bipolar disorders and healthy controls during verbal fluency performance: A multichannel near-infrared spectroscopy study
2022 · Yasemin Hoşgören Alıcı, Hüseyin Öztoprak, et al. · Psychiatry Research Neuroimaging · 6
A robust ensemble feature selection technique for high‐dimensional datasets based on minimum weight threshold method
2022 · Huseyin Guney, Huseyin Oztoprak · Computational Intelligence · 6
Analysis of Local Binary Patterns in different color models for person independent facial expression recognition
2014 · R. Ameen, Huseyin Oztoprak, et al. · Signal Processing and Communications Applications Conference (SIU) · 6
Corrigendum to “Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning”
2020 · Awwal Muhammad Dawud, Kamil Yurtkan, et al. · Computational Intelligence and Neuroscience · 2
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Energy-Aware 5G Device-to-Device Optimization Using Hybrid Grey Wolf and Evolutionary Schemes
2026 · Abdallah El Mohamad, Mehmet Toycan, et al. · Electronics · 1
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A Novel Ensemble Feature Selection Technique for Cancer Classification Using Logarithmic Rank Aggregation Method
2024 · Hüseyin Güney, Hüseyin Öztoprak · Düzce Üniversitesi Bilim ve Teknoloji Dergisi · 1
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The Impact of Under-sampling on the Performance of Bootstrap-based Ensemble Feature Selection
2018 · Hüseyin Güney, Hüseyin Öztoprak · Signal Processing and Communications Applications Conference (SIU) · 1
A Stacked Ensemble Framework with Global Context Vision Transformer Feature Integration for Accurate Diabetic Retinopathy Detection
2026 · Ruth Alabi, Hüseyin Öztoprak · Engineering Applications of Artificial Intelligence
Can epilepsy be predicted after the first febrile seizure? Insights from machine learning of postictal EEG
2026 · Boran Şekeroğlu, Hüseyin Öztoprak, et al. · Epileptic Disorders
P.227 Prediction of suicidal behaviour by evaluating personality traids with machine learning techniques
2021 · Y. Hosgoren Alıcı, H. Oztoprak, et al. · European Neuropsychopharmacology
Works count: 17
Citation count: 258
H-index: 7
I10-index: 3
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