A machine learning-based approach to detect survival of heart failure patients ÇB Erdaş, D Ölçer 2020 Medical Technologies Congress (TIPTEKNO), 1-4, 2020 | 13 | 2020 |
Quality assessment of web-based information on type 2 diabetes D Ölçer, T Taşkaya Temizel Online Information Review 46 (4), 715-732, 2022 | 7 | 2022 |
Detection and differentiation of COVID-19 using deep learning approach fed by x-rays ÇB Erdaş, D Ölçer International Journal of Applied Mathematics Electronics and Computers 8 (3 …, 2020 | 6 | 2020 |
Roof type classification with innovative machine learning approaches N Ölçer, D Ölçer, E Sümer PeerJ Computer Science 9, e1217, 2023 | 3 | 2023 |
Detection of visual impairment from retinal fundus images with deep learning D Ölçer, ÇB Erdaş 2022 Medical Technologies Congress (TIPTEKNO), 1-4, 2022 | 2 | 2022 |
A deep learning approach fed by ct scans for diagnosis of COVID-19 D OLCER, ÇB ERDAS Selcuk University Journal of Engineering Sciences 19 (4), 110-116, 2020 | 1 | 2020 |
Clustering MicroRNAs from Sequence and Time-Series Expression D Ölçer, H Oğul BIOTECHNO 2013 5, 1-4, 2013 | 1 | 2013 |
Noisy Label-Resistant Deep Learning Methods for Cancer Diagnosis in Histopathology Images D Ölçer, ÇB Erdaş 2023 Medical Technologies Congress (TIPTEKNO), 1-4, 2023 | | 2023 |
Makine Öğrenimi Modelleri Kullanılarak Kırılganlık Derecesi Tahmini Prediction of Frailty Grade Using Machine Learning Models ÇB Erdaş, D Ölçer | | 2022 |
Prediction of Frailty Grade Using Machine Learning Models ÇB Erdaş, D Ölçer 2022 Medical Technologies Congress (TIPTEKNO), 1-4, 2022 | | 2022 |
Kalp Yetmezliği Hastalarının Hayatta Kalma Tespiti İçin Makine Öğrenmesi Tabanlı Bir Yaklaşım (A Machine Learning-Based Approach to Detect Survival of Heart Failure Patients) ÇB Erdaş, D Ölçer | | 2020 |
Evaluation of Feature Reduction and Classification Methods for Activity Recognition (Aktivite Tanıma İçin Özellik Azaltma ve Sınıflandırma Yöntemlerinin Değerlendirilmesi) ÇB Erdaş, D Ölçer ISC2019 1524, 1532, 2019 | | 2019 |
Human Identification with Deep LSTM by Using Biometric Walking Patterns ÇB Erdaş, D Ölçer ISC2019, 2019 | | 2019 |