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Ömer Kaan Baykan
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2020 – today
- 2024
- [j14]Ali Akdag, Ömer Kaan Baykan:
Isolated sign language recognition through integrating pose data and motion history images. PeerJ Comput. Sci. 10: e2054 (2024) - 2023
- [j13]Mostafa Mahi, Ömer Kaan Baykan, Halife Kodaz:
A new approach based on greedy minimizing algorithm for solving data allocation problem. Soft Comput. 27(19): 13911-13930 (2023) - 2021
- [j12]Kadir Can Burçak, Ömer Kaan Baykan, Harun Uguz:
A new deep convolutional neural network model for classifying breast cancer histopathological images and the hyperparameter optimisation of the proposed model. J. Supercomput. 77(1): 973-989 (2021) - 2020
- [j11]Gülnur Yildizdan, Ömer Kaan Baykan:
A novel modified bat algorithm hybridizing by differential evolution algorithm. Expert Syst. Appl. 141 (2020) - [j10]Ali Saglam, Hasan Bilgehan Makineci, Nurdan Akhan Baykan, Ömer Kaan Baykan:
Boundary constrained voxel segmentation for 3D point clouds using local geometric differences. Expert Syst. Appl. 157: 113439 (2020) - [j9]Ali Saglam, Hasan Bilgehan Makineci, Ömer Kaan Baykan, Nurdan Akhan Baykan:
Clustering-Based Plane Refitting of Non-planar Patches for Voxel-Based 3D Point Cloud Segmentation Using K-Means Clustering. Traitement du Signal 37(6): 1019-1027 (2020)
2010 – 2019
- 2018
- [j8]Mostafa Mahi, Ömer Kaan Baykan, Halife Kodaz:
A new approach based on particle swarm optimization algorithm for solving data allocation problem. Appl. Soft Comput. 62: 571-578 (2018) - [j7]Saban Gülcü, Mostafa Mahi, Ömer Kaan Baykan, Halife Kodaz:
A parallel cooperative hybrid method based on ant colony optimization and 3-Opt algorithm for solving traveling salesman problem. Soft Comput. 22(5): 1669-1685 (2018) - 2017
- [i1]Hasan Ali Akyürek, Ömer Kaan Baykan, Baris Koçer:
Improving Gravitational Search Algorithm Performance with Artificial Bee Colony Algorithm for Constrained Numerical Optimization. CoRR abs/1706.03608 (2017) - 2015
- [j6]Mostafa Mahi, Ömer Kaan Baykan, Halife Kodaz:
A new hybrid method based on Particle Swarm Optimization, Ant Colony Optimization and 3-Opt algorithms for Traveling Salesman Problem. Appl. Soft Comput. 30: 484-490 (2015) - 2014
- [c5]Ferruh Yigit, Ömer Kaan Baykan:
A new feature selection method for text categorization based on information gain and particle swarm optimization. CCIS 2014: 523-529 - [c4]Muhammet Üsame Öziç, Yüksel Özbay, Ömer Kaan Baykan:
Detection of tumor with Otsu-PSO method on brain MR image. SIU 2014: 1999-2002 - 2012
- [j5]Mustafa Servet Kiran, Mesut Gündüz, Ömer Kaan Baykan:
A novel hybrid algorithm based on particle swarm and ant colony optimization for finding the global minimum. Appl. Math. Comput. 219(4): 1515-1521 (2012) - 2011
- [j4]Yakup Kara, Melek Acar Boyacioglu, Ömer Kaan Baykan:
Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange. Expert Syst. Appl. 38(5): 5311-5319 (2011) - 2010
- [j3]Ismail Babaoglu, Ömer Kaan Baykan, Nazif Aygül, Kurtulus Özdemir, Mehmet Bayrak:
Erratum "Assessment of exercise stress testing with artificial neural network in determining coronary artery disease and predicting lesion localization" [Experts Systems with Applications 36 (2P1) (2009) 2562-2566]. Expert Syst. Appl. 37(1): 905 (2010) - [c3]Ahmet Babalik, Ömer Kaan Baykan, Hazim Iscan, Ismail Babaoglu, Oguz Findik:
Effects of Feature Selection Using Binary Particle Swarm Optimization on Wheat Variety Classification. IAIT 2010: 11-17 - [c2]Ismail Babaoglu, Ömer Kaan Baykan, Nazif Aygül, Kurtulus Özdemir, Mehmet Bayrak:
A Comparison of Artificial Intelligence Methods on Determining Coronary Artery Disease. IAIT 2010: 18-26
2000 – 2009
- 2009
- [j2]Ismail Babaoglu, Ömer Kaan Baykan, Nazif Aygül, Kurtulus Özdemir, Mehmet Bayrak:
Assessment of exercise stress testing with artificial neural network in determining coronary artery disease and predicting lesion localization. Expert Syst. Appl. 36(2): 2562-2566 (2009) - [j1]Melek Acar Boyacioglu, Yakup Kara, Ömer Kaan Baykan:
Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey. Expert Syst. Appl. 36(2): 3355-3366 (2009) - 2007
- [b1]Ömer Kaan Baykan:
Bilgisayar destekli un kalite izleme sistemi tasarımı (Computer aided system design for tracking of flour quality). Selçuk University, Turkey, 2007 - [c1]Sarunas Raudys, Ömer Kaan Baykan, Ahmet Babalik, Vitalij Denisov, Antanas Andrius Bielskis:
Classifiers Fusion in Recognition of Wheat Varieties. MCS 2007: 62-71
Coauthor Index
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last updated on 2024-08-05 21:21 CEST by the dblp team
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