| Classification of real imbalanced cardiovascular data using feature selection and sampling methods: A case study with neural networks and logistic regression J Bektas, T Ibrikci, IT Ozcan International Journal on Artificial Intelligence Tools 26 (06), 1750019, 2017 | 17 | 2017 |
| EKSL: An effective novel dynamic ensemble model for unbalanced datasets based on LR and SVM hyperplane-distances J Bektaş Information Sciences 597, 182-192, 2022 | 10 | 2022 |
| The impact of imputation procedures with machine learning methods on the performance of classifiers: An application to coronary artery disease data including missing values J Bektaş, T Ibrikçi, İT Özcan Biomedical Research 29 (13), 2780-2785, 2018 | 6 | 2018 |
| Hybrid classification procedure using SVM with LR on two distinctive datasets J Bektaş, T Ibrikci Proceedings of the 6th International Conference on Software and Computer …, 2017 | 5 | 2017 |
| Integrating a novel SRCRN network for segmentation with representative batch-mode experiments for detecting melanoma J Bektaş, Y Bektaş, EE Kangal Biomedical Signal Processing and Control 71, 103218, 2022 | 3 | 2022 |
| Use of data mining techniques to determine presence of coronary artery disease and deriving a risk score by employing risk factors J Bektaş Fen Bilimleri Enstitüsü, 2013 | 3 | 2013 |
| A unified workflow strategy for analysing large-scale TripAdvisor reviews with BOW model J Bektaş, A Elsadig International Journal of Business Intelligence and Data Mining 21 (1), 102-117, 2022 | 1 | 2022 |
| Detection of economy-related Turkish tweets based on machine learning approaches J Bektaş Data Mining Approaches for Big Data and Sentiment Analysis in Social Media …, 2022 | 1 | 2022 |
| Evaluating the effect of lesion segmentation on the detection of skin cancer by pre-trained CNN models J BEKTAŞ, Y BEKTAŞ, EE KANGAL Journal of Engineering Science and Technology 16 (6), 4896-4909, 2021 | 1 | 2021 |
| Avrupa Topluluğu Ekonomik Faaliyetlerin İstatistiki Sınıflandırılması Kullanılarak Dengesiz Veri Setlerinde Sınıflandırma Problemine Bakış Y Bektas, J BEKTAŞ Icontech International Journal 5 (3), 31-37, 2021 | 1 | 2021 |
| Comparison of CNNs and SVM for Detection of Activation in Malaria Cell Images J BEKTAŞ Natural and Applied Sciences Journal 2 (2), 38-50, 2019 | 1 | 2019 |
| An MRI study on volumetric changes in the brain of Female adolescents with autism J Bektaş, T İbrikçi Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 28 (2), 27-34, 2013 | 1 | 2013 |
| Optimisations of four imputation frameworks for performance exploring based on decision tree algorithms in big data analysis problems J Bektaş, T Ibrikci International Journal of Computational Science and Engineering 25 (5), 523-531, 2022 | | 2022 |
| COMPARATIVE STUDY OF STOCHASTIC OPTIMIZATION TECHNIQUES FOR X-RAY BASED PNEUMONIA IMAGE CLASSIFICATION USING RESNET50 LDJ BEKTAŞ, LY BEKTAŞ, APDEE KANGAL EXPERIMENTAL AND NUMERICAL ADVANCES IN SCIENCE, ENGINEERING AND TECHNOLOGY, 25, 2021 | | 2021 |
| Segmentation of brain region of MRIs and omparisons between autistic and healthy adolescent J Bektaş Fen Bilimleri Enstitüsü, 0 | | |
| NATURAL & APPLIED SCIENCES J BEKTAŞ | | |
Turgay İbrikciProf. Dr., Adana Alparslan Türkeş Science and Technology Universityatu.edu.tr üzerinde doğrulanmış e-posta adresine sahip
