Turgay Ibrikci

27 papers Journal 19Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Novel Comparative Approach: Logistic Regression Enhanced by Bat Optimization Versus Logistic Regression Enhanced by Deep Belief Network for Remote Homologous Protein Detection.
IEEE Access
Fahriye Gemci, Turgay Ibrikci, Ulus Çevik
2025 J jnl
The potential of radiomics features in the detection of hepatocellular carcinoma (HCC) in 2D liver MRI images by using machine learning methods.
Signal Image Video Process.
Cagatay Neftali Tulu, Turgay Ibrikci
2024 J jnl
An improved African vultures optimization algorithm using different fitness functions for multi-level thresholding image segmentation.
Multim. Tools Appl.
Farhad Soleimanian Gharehchopogh, Turgay Ibrikci
2023 J jnl
Deep Learning Algorithm for Detection of Protein Remote Homology.
Comput. Syst. Sci. Eng.
Fahriye Gemci, Turgay Ibrikci, Ulus Çevik
2022 J jnl
Analysis of breast cancer classification robustness with radiomics feature extraction and deep learning techniques.
Expert Syst. J. Knowl. Eng.
Harun Ur Rashid, Turgay Ibrikci, Semra Paydas, Figen Binokay, Ulus Çevik
2022 J jnl
Optimisations of four imputation frameworks for performance exploring based on decision tree algorithms in big data analysis problems.
Int. J. Comput. Sci. Eng.
Jale Bektas, Turgay Ibrikci
2017 J jnl
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
Jale Bektas, Turgay Ibrikci, I. Türkay Özcan
2017 — conf
Classifying breast cancer by using decision tree algorithms.
ICSCA
Nusaibah Kh. Al-Salihy, Turgay Ibrikci
2017 — conf
Hybrid classification procedure using SVM with LR on two distinctive datasets.
ICSCA
Jale Bektas, Turgay Ibrikci
2017 J jnl
PCA based clustering for brain tumor segmentation of T1w MRI images.
Comput. Methods Programs Biomed.
Irem Ersöz Kaya, Ayça Çakmak Pehlivanli, Emine Gezmez Sekizkardes, Turgay Ibrikci
2015 — conf
Recognition of non-speech sounds using Mel-frequency cepstrum coefficients and dynamic time warping method.
SIU
Gökay Disken, Turgay Ibrikci
2014 J jnl
Effective Automated Prediction of Vertebral Column Pathologies Based on Logistic Model Tree with SMOTE Preprocessing.
J. Medical Syst.
Esra Mahsereci Karabulut, Turgay Ibrikci
2014 J jnl
Identification of transcription factor binding sites using Gaussian mixture models.
Expert Syst. J. Knowl. Eng.
Mustafa Karabulut, Turgay Ibrikci
2012 J jnl
A Bayesian Scoring Scheme based Particle Swarm Optimization algorithm to identify transcription factor binding sites.
Appl. Soft Comput.
Mustafa Karabulut, Turgay Ibrikci
2012 J jnl
A fuzzy self-organizing map algorithm for biological pattern recognition.
Expert Syst. J. Knowl. Eng.
Mustafa Karabulut, Turgay Ibrikci
2012 J jnl
Diagnosis of Several Diseases by Using Combined Kernels with Support Vector Machine.
J. Medical Syst.
Turgay Ibrikci, Deniz Ustun, Irem Ersöz Kaya
2012 J jnl
Effective Diagnosis of Coronary Artery Disease Using The Rotation Forest Ensemble Method.
J. Medical Syst.
Esra Mahsereci Karabulut, Turgay Ibrikci
2011 J jnl
Assessment of clustering algorithms for unsupervised transcription factor binding site discovery.
Expert Syst. Appl.
Mustafa Karabulut, Turgay Ibrikci
2011 J jnl
Prediction of disorder with new computational tool: BVDEA.
Expert Syst. Appl.
Irem Ersöz Kaya, Turgay Ibrikci, Okan K. Ersoy
2010 J jnl
Employing Fuzzy C-Means for DNA transcription Factor Binding Site Identification.
J. Circuits Syst. Comput.
Turgay Ibrikci, Mustafa Karabulut
2009 — conf
Using Threshold Techniques with K-Means for MRI Segmentation.
IPCV
Jale Bektas, Turgay Ibrikci
2008 J jnl
Consensual classification of drug and nondrug compounds.
Int. J. Comput. Biol. Drug Des.
Ayca C. Pehlivanli, Turgay Ibrikci, Okan K. Ersoy
2008 J jnl
Drug/nondrug classification with consensual Self-Organising Map and Self-Organising Global Ranking algorithms.
Int. J. Comput. Biol. Drug Des.
Ayca C. Pehlivanli, Okan K. Ersoy, Turgay Ibrikci
2008 — conf
Fuzzy C-Means Based DNA Motif Discovery.
ICIC (1)
Mustafa Karabulut, Turgay Ibrikci
2008 — conf
Gravitational Fuzzy Clustering.
MICAI
Umut Orhan, Mahmut Hekim, Turgay Ibrikci
2008 — conf
Supervised Gravitational Clustering with Bipolar Fuzzification.
ICIC (2)
Umut Orhan, Mahmut Hekim, Turgay Ibrikci
1995 — conf
Application of Neural Network for Home Security System.
ICANNGA
Turgay Ibrikci, V. Krishnamurthi