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2020 – today
- 2024
[j12]Aysun Öcal, Hasan Koyuncu
:
An in-depth study to fine-tune the hyperparameters of pre-trained transfer learning models with state-of-the-art optimization methods: Osteoarthritis severity classification with optimized architectures. Swarm Evol. Comput. 89: 101640 (2024)- 2023
- [j11]Abdulsalam Hajmohamad, Hasan Koyuncu:
3t2FTS: A Novel Feature Transform Strategy to Classify 3D MRI Voxels and Its Application on HGG/LGG Classification. Mach. Learn. Knowl. Extr. 5(2): 359-383 (2023) - 2022
- [c6]Aysun Öcal, Hasan Koyuncu:
Optimum Design of Flapping Wing Flying Robot by Modified Social Group Optimization. ICCCNT 2022: 1-5 - 2021
- [j10]Hasan Koyuncu, Mücahid Barstugan:
COVID-19 discrimination framework for X-ray images by considering radiomics, selective information, feature ranking, and a novel hybrid classifier. Signal Process. Image Commun. 97: 116359 (2021) - 2020
- [j9]Hasan Koyuncu, Mücahid Barstugan, Muhammet Üsame Öziç:
A comprehensive study of brain tumour discrimination using phase combinations, feature rankings, and hybridised classifiers. Medical Biol. Eng. Comput. 58(12): 2971-2987 (2020) - [j8]Hasan Koyuncu:
GM-CPSO: A New Viewpoint to Chaotic Particle Swarm Optimization via Gauss Map. Neural Process. Lett. 52(1): 241-266 (2020) - [c5]Hasan Koyuncu:
Loss Function Selection in NN based Classifiers: Try-outs with a Novel Method. ECAI 2020: 1-6
2010 – 2019
- 2019
- [j7]Hasan Koyuncu, Rahime Ceylan:
A PSO based approach: Scout particle swarm algorithm for continuous global optimization problems. J. Comput. Des. Eng. 6(2): 129-142 (2019) - [j6]Rahime Ceylan, Hasan Koyuncu:
A Novel Rotation Forest Modality Based on Hybrid NNs: RF (ScPSO-NN). J. King Saud Univ. Comput. Inf. Sci. 31(2): 235-251 (2019) - [j5]Hasan Koyuncu, Rahime Ceylan, Semih Asoglu, Hakan Cebeci, Mustafa Koplay:
An extensive study for binary characterisation of adrenal tumours. Medical Biol. Eng. Comput. 57(4): 849-862 (2019) - 2018
- [j4]Hasan Koyuncu, Rahime Ceylan:
Elimination of white Gaussian noise in arterial phase CT images to bring adrenal tumours into the forefront. Comput. Medical Imaging Graph. 65: 46-57 (2018) - [j3]Hasan Koyuncu, Rahime Ceylan, Hasan Erdogan, Mesut Sivri:
A novel pipeline for adrenal tumour segmentation. Comput. Methods Programs Biomed. 159: 77-86 (2018) - [j2]Hasan Koyuncu, Rahime Ceylan, Mesut Sivri, Hasan Erdogan:
An Efficient Pipeline for Abdomen Segmentation in CT Images. J. Digit. Imaging 31(2): 262-274 (2018) - [c4]Hasan Koyuncu, Rahime Ceylan:
Multithresholding of Benchmark Images by A Novel Optimization Approach. CSIT (1) 2018: 322-325 - 2017
- [c3]Hasan Koyuncu, Rahime Ceylan:
Classification of adrenal lesions by bounded PSO-NN. SIU 2017: 1-4 - 2016
- [j1]Rahime Ceylan, Hasan Koyuncu:
A New Breakpoint in Hybrid Particle Swarm-Neural Network Architecture: Individual Boundary Adjustment. Int. J. Inf. Technol. Decis. Mak. 15(6): 1313-1344 (2016) - [c2]Hasan Koyuncu, Rahime Ceylan:
Optic Disc Segmentation with Kapur-ScPSO Based Cascade Multithresholding. IWBBIO 2016: 206-215 - 2013
- [c1]Hasen Koyuncu, Rahime Ceylan:
Artificial neural network based on rotation forest for biomedical pattern classification. TSP 2013: 581-585
Coauthor Index
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last updated on 2024-10-07 21:12 CEST by the dblp team
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