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Fatih Özyurt
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2020 – today
- 2025
- [j13]Esra Yüzgeç Özdemir, Fatih Özyurt:
Elasticnet-Based Vision Transformers for early detection of Parkinson's disease. Biomed. Signal Process. Control. 101: 107198 (2025) - 2024
- [j12]Derya Avci, Eser Sert, Fatih Özyurt, Engin Avci:
MFIF-DWT-CNN: Multi-focus ımage fusion based on discrete wavelet transform with deep convolutional neural network. Multim. Tools Appl. 83(4): 10951-10968 (2024) - [i3]Fatih Özyurt, Jafar Majidpour, Tarik A. Rashid, Canan Koc:
Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach. CoRR abs/2401.09467 (2024) - 2023
- [j11]Gulhan Kilicarslan, Canan Koc, Fatih Özyurt, Yeliz Gul:
Breast lesion classification using features fusion and selection of ensemble ResNet method. Int. J. Imaging Syst. Technol. 33(5): 1779-1795 (2023) - [i2]Fatih Özyurt, Jafar Majidpour, Tarik A. Rashid, Amir Majidpour, Canan Koc:
Multi-Transfer Learning Techniques for Detecting Auditory Brainstem Response. CoRR abs/2308.16203 (2023) - 2022
- [j10]Turker Tuncer, Emrah Aydemir, Fatih Özyurt, Sengül Dogan:
A deep feature warehouse and iterative MRMR based handwritten signature verification method. Multim. Tools Appl. 81(3): 3899-3913 (2022) - 2021
- [j9]Fatih Özyurt, Türker Tuncer, Abdulhamit Subasi:
An automated COVID-19 detection based on fused dynamic exemplar pyramid feature extraction and hybrid feature selection using deep learning. Comput. Biol. Medicine 132: 104356 (2021) - [j8]Ghazi Abdalla, Fatih Özyurt:
Sentiment Analysis of Fast Food Companies With Deep Learning Models. Comput. J. 64(3): 383-390 (2021) - [j7]Aykut Diker, Yasin Sönmez, Fatih Özyurt, Engin Avci, Derya Avci:
Examination of the ECG signal classification technique DEA-ELM using deep convolutional neural network features. Multim. Tools Appl. 80(16): 24777-24800 (2021) - [j6]Fatih Özyurt:
Automatic Detection of COVID-19 Disease by Using Transfer Learning of Light Weight Deep Learning Model. Traitement du Signal 38(1): 147-153 (2021) - 2020
- [j5]Türker Tuncer, Sengül Dogan, Fatih Özyurt, Samir Brahim Belhaouari, Halima Bensmail:
Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice. IEEE Access 8: 84532-84540 (2020) - [j4]Mesut Togaçar, Zafer Cömert, Burhan Ergen, Fatih Özyurt:
Corrigendum to "Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method" Expert Systems with Applications 149 (2020) 1-8 /113274. Expert Syst. Appl. 150: 113366 (2020) - [j3]Fatih Özyurt:
A fused CNN model for WBC detection with MRMR feature selection and extreme learning machine. Soft Comput. 24(11): 8163-8172 (2020) - [j2]Fatih Özyurt, Engin Avci, Eser Sert:
UC-Merced Image Classification with CNN Feature Reduction Using Wavelet Entropy Optimized with Genetic Algorithm. Traitement du Signal 37(3): 347-353 (2020) - [j1]Fatih Özyurt:
Efficient deep feature selection for remote sensing image recognition with fused deep learning architectures. J. Supercomput. 76(11): 8413-8431 (2020)
2010 – 2019
- 2019
- [b1]Fatih Özyurt:
Algısal özet fonksiyonları tabanlı derin öğrenme yöntemleri kullanılarak imgelerin sınıflandırılması (Classification of images by using deep learning methods based on perceptual hash functions). Fırat University, Turkey, 2019 - 2015
- [c1]Fatih Özyurt, Engin Avci, Taner Çevik:
Performance analysis of the structural factors in the communication of the wireless sensor network. SIU 2015: 1809-1812 - [i1]Taner Çevik, Fatih Özyurt:
Impacts of structural factors on energy consumption in cluster-based wireless sensor networks: a comprehensive analysis. CoRR abs/1512.03580 (2015)
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last updated on 2025-01-21 00:22 CET by the dblp team
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