Turgay Ibrikci

发表

Application of Feed Forward Backpropagation and Cascade Forward Backpropagation Neural Network Algorithms to Detect Pulsar Stars

Fahriye Gemci Furat, Turgay Ibrikci, 2017 .

Classification of Real Imbalanced Cardiovascular Data Using Feature Selection and Sampling Methods: A Case Study with Neural Networks and Logistic Regression

Turgay Ibrikci, Jale Bektas, I. Türkay Özcan, 2017, Int. J. Artif. Intell. Tools.

Statistical Performance Effect of Feature Selection Techniques on Eye State Prediction Using EEG

Turgay Ibrikci, Jean de Dieu Uwisengeyimana, Nusaibah Khalid AlSalihy, 2016 .

Classification of Down Syndrome of Mice Protein Dataset on MongoDB using Bayesian Network

Fahriye Gemci Furat, Turgay Ibrikci, 2017 .

PCA based clustering for brain tumor segmentation of T1w MRI images

Ayça Çakmak Pehlivanli, Turgay Ibrikci, Irem Ersöz Kaya, 2017, Comput. Methods Programs Biomed..

Prediction of Disordered Regions of Proteins with New N-Pieces Naïve Bayes Algorithm

Turgay Ibrikci, Umut Orhan, Irem Ersöz, 2007 .

Effective Diagnosis of Coronary Artery Disease Using The Rotation Forest Ensemble Method

Turgay Ibrikci, Esra Mahsereci Karabulut, T. Ibrikci, 2012, Journal of Medical Systems.

A Mathematical Model in the Implementation of a Stewart-Gough Platform as an External Fixator

Turgay Ibrikci, I. D. Akçali, M. O. Şahlar, 2009 .

Using Threshold Techniques with K-Means for MRI Segmentation

Turgay Ibrikci, Jale Bektas, 2009, IPCV.

Consensual classification of drug and nondrug compounds

Okan K. Ersoy, Turgay Ibrikci, Ayca C. Pehlivanli, 2008, Int. J. Comput. Biol. Drug Des..

Assessment of clustering algorithms for unsupervised transcription factor binding site discovery

Turgay Ibrikci, Mustafa Karabulut, 2011, Expert Syst. Appl..

Application of Artificial Neural Networks in the Prediction of Critical Buckling Loads of Helical Compression Springs

Turgay Ibrikci, Selim Saçma, Vebil Yıldırım, 2010 .

Classifying breast cancer by using decision tree algorithms

Turgay Ibrikci, Nusaibah Kh. Al-Salihy, 2017, ICSCA '17.

Gravitational Fuzzy Clustering

Turgay Ibrikci, Umut Orhan, Mahmut Hekim, 2008, MICAI.

Meta Learning on Small Biomedical Datasets

Turgay Ibrikci, Jean de Dieu Uwisengeyimana, Esra Mahsereci Karabulut, 2016 .

Diagnosing Knee Osteoarthritis Using Artificial Neural Networks and Deep Learning

Turgay Ibrikci, Jean de Dieu Uwisengeyimana, T. Ibrikci, 2017 .

USING DEEP LEARNING ALGORITHM TO DIAGNOSE PARKINSON DISEASE WITH HIGH ACCURACY

Turgay Ibrikci, Fahriye Gemci, 2019 .

Diagnosis of Parkinson's disease by using neural networks ensemble

Turgay Ibrikci, Esra Karabulut, 2010, National Conference on Electrical, Electronics and Computer Engineering.

Identification of transcription factor binding sites using Gaussian mixture models

Turgay Ibrikci, Mustafa Karabulut, T. Ibrikci, 2014, Expert Syst. J. Knowl. Eng..

A Bayesian Scoring Scheme based Particle Swarm Optimization algorithm to identify transcription factor binding sites

Turgay Ibrikci, Mustafa Karabulut, T. Ibrikci, 2012, Appl. Soft Comput..

Hybrid classification procedure using SVM with LR on two distinctive datasets

Turgay Ibrikci, Jale Bektas, 2017, ICSCA '17.

A comparative study on the effect of feature selection on classification accuracy

Selma Ayse Ozel, Turgay Ibrikci, Esra Mahsereci Karabulut, 2012 .

Diagnosis of Several Diseases by Using Combined Kernels with Support Vector Machine

Deniz Ustun, Turgay Ibrikci, Irem Ersöz Kaya, 2011, Journal of Medical Systems.

Employing Fuzzy C-Means for DNA transcription Factor Binding Site Identification

Turgay Ibrikci, Mustafa Karabulut, T. Ibrikci, 2010, J. Circuits Syst. Comput..

Prediction of disorder with new computational tool: BVDEA

Okan K. Ersoy, Turgay Ibrikci, Irem Ersöz Kaya, 2011, Expert Syst. Appl..

Supervised Gravitational Clustering with Bipolar Fuzzification

Turgay Ibrikci, Umut Orhan, Mahmut Hekim, 2008, ICIC.

Classification of Down Syndrome of Mice Protein Dataset on MongoDB Database

Fahriye Gemci Furat, Turgay Ibrikci, 2018 .

A fuzzy self‐organizing map algorithm for biological pattern recognition

Turgay Ibrikci, Mustafa Karabulut, T. Ibrikci, 2010, Expert Syst. J. Knowl. Eng..

Effective Automated Prediction of Vertebral Column Pathologies Based on Logistic Model Tree with SMOTE Preprocessing

Turgay Ibrikci, Esra Mahsereci Karabulut, T. Ibrikci, 2014, Journal of Medical Systems.

Fuzzy C-Means Based DNA Motif Discovery

Turgay Ibrikci, Mustafa Karabulut, 2008, ICIC.

Drug/nondrug classification with consensual Self-Organising Map and Self-Organising Global Ranking algorithms

Okan K. Ersoy, Turgay Ibrikci, Ayca C. Pehlivanli, 2008, Int. J. Comput. Biol. Drug Des..

where Texture analysis of Melanoma Images for Computer-aided Diagnosis

Turgay Ibrikci, Esra Mahsereci Karabulut, T. Ibrikci, 2016 .

Analysis of Cardiotocogram Data for Fetal Distress Determination by Decision Tree Based Adaptive Boosting Approach

Turgay Ibrikci, Esra Mahsereci Karabulut, T. Ibrikci, 2014 .

The impact of imputation procedures with machine learning methods on the performance of classifiers: An application to coronary artery disease data including missing values

Turgay Ibrikci, Jale Bektas, T. Ibrikci, 2018 .