| Forecasting electricity load by a novel recurrent extreme learning machines approach ÖF Ertugrul International Journal of Electrical Power & Energy Systems 78, 429-435, 2016 | 260 | 2016 |
| A novel type of activation function in artificial neural networks: Trained activation function ÖF Ertuğrul Neural Networks 99, 148–157, 2018 | 171 | 2018 |
| Extreme learning machine model for water network management AMA Sattar, ÖF Ertuğrul, B Gharabaghi, EA McBean, J Cao Neural Computing and Applications 31, 157-169, 2019 | 156 | 2019 |
| Detection of Parkinson's disease by shifted one dimensional local binary patterns from gait ÖF Ertuğrul, Y Kaya, R Tekin, MN Almalı Expert Systems with Applications 56, 156-163, 2016 | 143 | 2016 |
| A novel version of k nearest neighbor: Dependent nearest neighbor ÖF Ertuğrul, ME Tağluk Applied Soft Computing 55, 480-490, 2017 | 112 | 2017 |
| Two novel local binary pattern descriptors for texture analysis Y Kaya, ÖF Ertuğrul, R Tekin Applied Soft Computing 34, 728-735, 2015 | 99 | 2015 |
| Evaluation of texture features for automatic detecting butterfly species using extreme learning machine Y Kaya, L Kayci, R Tekin, ÖF Ertuğrul Journal of Experimental & Theoretical Artificial Intelligence 26 (2), 267-281, 2014 | 63 | 2014 |
| A detailed analysis on extreme learning machine and novel approaches based on ELM ÖF Ertuğrul, Y Kaya American Journal of computer science and engineering 1 (5), 43-50, 2014 | 59 | 2014 |
| Detecting hemorrhage types and bounding box of hemorrhage by deep learning ÖF Ertuğrul, MF Akıl Biomedical Signal Processing and Control 71, 103085, 2022 | 46 | 2022 |
| A novel approach for SEMG signal classification with adaptive local binary patterns ÖF Ertuğrul, Y Kaya, R Tekin Medical & Biological Engineering & Computing 54 (7), 156-163, 2016 | 45 | 2016 |
| Determining the optimal number of body-worn sensors for human activity recognition ÖF Ertuǧrul, Y Kaya Soft Computing, 1-8, 2016 | 42 | 2016 |
| Automatic diagnosis of cardiovascular disorders by sub images of the ECG signal using multi-feature extraction methods and randomized neural network ÖF Ertuğrul, E Acar, E Aldemir, A Öztekin Biomedical Signal Processing and Control 64, 102260, 2021 | 37 | 2021 |
| A stable feature extraction method in classification epileptic EEG signals Y Kaya, ÖF Ertuğrul Australasian physical & engineering sciences in medicine 41, 721-730, 2018 | 31 | 2018 |
| A fast feature selection approach based on extreme learning machine and coefficient of variation ÖF ERTUĞRUL, ME TAĞLUK Turkish Journal of Electrical Engineering & Computer Sciences, 2017 | 31 | 2017 |
| A novel machine learning method based on generalized behavioral learning theory ÖF Ertuğrul, ME Tağluk Neural Computing and Applications, 1-19, 2016 | 30 | 2016 |
| EMG signal classification by extreme learning machine ÖF Ertuğrul, ME Tağluk, Y Kaya, R Teki̇n 2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013 | 29 | 2013 |
| Human identification based on accelerometer sensors obtained by mobile phone data A Oğuz, ÖF Ertuğrul Biomedical signal processing and control 77, 103847, 2022 | 27 | 2022 |
| YENİLENEBİLİR ENERJİ KAYNAKLARI MALİYET ANALİZİ VE SÜRDÜRÜLEBİLİR YEK UYGULAMALARI ÖF ERTUĞRUL, MB KURT V. Yenilenebilir Enerji Kaynakları Sempozyumu (YEKSEM’09), 37-40, 2009 | 27 | 2009 |
| Smart city planning by estimating energy efficiency of buildings by extreme learning machine ÖF Ertugrul, Y Kaya 2016 4th International Istanbul Smart Grid Congress and Fair (ICSG), 1-5, 2016 | 25 | 2016 |
| A novel feature extraction approach for text-based language identification: Binary patterns Y Kaya, OF Ertugrul Journal of the Faculty of Engineering and Architecture of Gazi University 31 …, 2016 | 25* | 2016 |