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Turgay Ibrikci
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2020 – today
- 2024
- [j17]Farhad Soleimanian Gharehchopogh
, Turgay Ibrikci:
An improved African vultures optimization algorithm using different fitness functions for multi-level thresholding image segmentation. Multim. Tools Appl. 83(6): 16929-16975 (2024) - 2023
- [j16]Fahriye Gemci, Turgay Ibrikci
Deep Learning Algorithm for Detection of Protein Remote Homology. Comput. Syst. Sci. Eng. 46(3): 3703-3713 (2023) - 2022
- [j15]Harun Ur Rashid
Analysis of breast cancer classification robustness with radiomics feature extraction and deep learning techniques. Expert Syst. J. Knowl. Eng. 39(8) (2022) - [j14]Jale Bektas, Turgay Ibrikci
Optimisations of four imputation frameworks for performance exploring based on decision tree algorithms in big data analysis problems. Int. J. Comput. Sci. Eng. 25(5): 523-531 (2022)
2010 – 2019
- 2017
- [j13]Irem Ersöz Kaya
PCA based clustering for brain tumor segmentation of T1w MRI images. Comput. Methods Programs Biomed. 140: 19-28 (2017) - [j12]Jale Bektas, Turgay Ibrikci
Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression. Int. J. Artif. Intell. Tools 26(6): 1750019:1-1750019:12 (2017) - [c8]Jale Bektas, Turgay Ibrikci:
Hybrid classification procedure using SVM with LR on two distinctive datasets. ICSCA 2017: 68-71 - [c7]Nusaibah Kh. Al-Salihy, Turgay Ibrikci:
Classifying breast cancer by using decision tree algorithms. ICSCA 2017: 144-148 - 2015
- [c6]Gökay Disken
Recognition of non-speech sounds using Mel-frequency cepstrum coefficients and dynamic time warping method. SIU 2015: 144-147 - 2014
- [j11]Mustafa Karabulut
Identification of transcription factor binding sites using Gaussian mixture models. Expert Syst. J. Knowl. Eng. 31(1): 70-80 (2014) - [j10]Esra Mahsereci Karabulut, Turgay Ibrikci
Effective Automated Prediction of Vertebral Column Pathologies Based on Logistic Model Tree with SMOTE Preprocessing. J. Medical Syst. 38(5): 50 (2014) - 2012
- [j9]Mustafa Karabulut
A Bayesian Scoring Scheme based Particle Swarm Optimization algorithm to identify transcription factor binding sites. Appl. Soft Comput. 12(9): 2846-2855 (2012) - [j8]Mustafa Karabulut
A fuzzy self-organizing map algorithm for biological pattern recognition. Expert Syst. J. Knowl. Eng. 29(1): 25-38 (2012) - [j7]Turgay Ibrikci
Diagnosis of Several Diseases by Using Combined Kernels with Support Vector Machine. J. Medical Syst. 36(3): 1831-1840 (2012) - [j6]Esra Mahsereci Karabulut, Turgay Ibrikci
Effective Diagnosis of Coronary Artery Disease Using The Rotation Forest Ensemble Method. J. Medical Syst. 36(5): 3011-3018 (2012) - 2011
- [j5]Mustafa Karabulut
Assessment of clustering algorithms for unsupervised transcription factor binding site discovery. Expert Syst. Appl. 38(9): 11160-11166 (2011) - [j4]Irem Ersöz Kaya
Prediction of disorder with new computational tool: BVDEA. Expert Syst. Appl. 38(12): 14451-14459 (2011) - 2010
- [j3]Turgay Ibrikci
Employing Fuzzy C-Means for DNA transcription Factor Binding Site Identification. J. Circuits Syst. Comput. 19(1): 15-30 (2010)
2000 – 2009
- 2009
- [c5]Jale Bektas, Turgay Ibrikci:
Using Threshold Techniques with K-Means for MRI Segmentation. IPCV 2009: 651-655 - 2008
- [j2]Ayca C. Pehlivanli, Turgay Ibrikci, Okan K. Ersoy:
Consensual classification of drug and nondrug compounds. Int. J. Comput. Biol. Drug Des. 1(3): 224-234 (2008) - [j1]Ayca C. Pehlivanli, Okan K. Ersoy, Turgay Ibrikci:
Drug/nondrug classification with consensual Self-Organising Map and Self-Organising Global Ranking algorithms. Int. J. Comput. Biol. Drug Des. 1(4): 434-445 (2008) - [c4]Mustafa Karabulut
Fuzzy C-Means Based DNA Motif Discovery. ICIC (1) 2008: 189-195 - [c3]Umut Orhan
Supervised Gravitational Clustering with Bipolar Fuzzification. ICIC (2) 2008: 667-674 - [c2]Umut Orhan, Mahmut Hekim, Turgay Ibrikci:
Gravitational Fuzzy Clustering. MICAI 2008: 524-531
1990 – 1999
- 1995
- [c1]Turgay Ibrikci
Application of Neural Network for Home Security System. ICANNGA 1995: 448-451
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