A new framework for automatic detection of patients with mild cognitive impairment using resting-state EEG signals S Siuly, ÖF Alçin, E Kabir, A Şengür, H Wang, Y Zhang, F Whittaker IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (9 …, 2020 | 112 | 2020 |
Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method ÖF Alçіn, S Siuly, V Bajaj, Y Guo, A Şengu, Y Zhang Neurocomputing 218, 251-258, 2016 | 77 | 2016 |
Exploring Hermite transformation in brain signal analysis for the detection of epileptic seizure S Siuly, OF Alcin, V Bajaj, A Sengur, Y Zhang IET Science, Measurement & Technology 13 (1), 35-41, 2019 | 72 | 2019 |
Power quality event detection using a fast extreme learning machine F Ucar, OF Alcin, B Dandil, F Ata Energies 11 (1), 145, 2018 | 64 | 2018 |
Automatic digital modulation classification using extreme learning machine with local binary pattern histogram features A Güner, ÖF Alçin, A Şengür Measurement 145, 214-225, 2019 | 58 | 2019 |
A hybrid method based on time–frequency images for classification of alcohol and control EEG signals V Bajaj, Y Guo, A Sengur, S Siuly, OF Alcin Neural Computing and Applications 28, 3717-3723, 2017 | 56 | 2017 |
GA-SELM: Greedy algorithms for sparse extreme learning machine OF Alcin, A Sengur, S Ghofrani, MC Ince Measurement 55, 126-132, 2014 | 48 | 2014 |
Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals B Ari, N Sobahi, ÖF Alçin, A Sengur, UR Acharya Computers in Biology and Medicine 143, 105311, 2022 | 43 | 2022 |
Forward-backward pursuit based sparse extreme learning machine OF Alcin, A Sengur, MC Ince Journal of The Faculty of Engineering and Architecture of Gazi University 30 …, 2015 | 41* | 2015 |
Wavelet ELM-AE based data augmentation and deep learning for efficient emotion recognition using EEG recordings B Ari, K Siddique, ÖF Alçin, M Aslan, A Şengür, RM Mehmood IEEE Access 10, 72171-72181, 2022 | 26 | 2022 |
A new signal to image mapping procedure and convolutional neural networks for efficient schizophrenia detection in EEG recordings N Sobahi, B Ari, H Cakar, OF Alcin, A Sengur IEEE Sensors Journal 22 (8), 7913-7919, 2022 | 23 | 2022 |
Deep rhythm and long short term memory-based drowsiness detection M Turkoglu, OF Alcin, M Aslan, A Al-Zebari, A Sengur Biomedical Signal Processing and Control 65, 102364, 2021 | 21 | 2021 |
Machine learning based power quality event classification using wavelet—Entropy and basic statistical features F Uçar, ÖF Alçin, B Dandil, F Ata 2016 21st International Conference on Methods and Models in Automation and …, 2016 | 21 | 2016 |
Two-stepped majority voting for efficient EEG-based emotion classification AM Ismael, ÖF Alçin, KH Abdalla, A Şengür Brain Informatics 7, 1-12, 2020 | 20 | 2020 |
Extreme learning machine based robotic arm modeling OF Alcin, F Ucar, D Korkmaz 2016 21st International Conference on Methods and Models in Automation and …, 2016 | 19 | 2016 |
Exploring deep residual network based features for automatic schizophrenia detection from EEG S Siuly, Y Guo, OF Alcin, Y Li, P Wen, H Wang Physical and Engineering Sciences in Medicine 46 (2), 561-574, 2023 | 17 | 2023 |
Brain MR Image Classification Based on Deep Features by Using Extreme Learning Machines A Arı, OF Alcin, D Hanbay Biomed J Sci & Tech Res 25 (3), 19137-19144, 2020 | 17 | 2020 |
Deep learning model developed by multiparametric MRI in differential diagnosis of parotid gland tumors E Gunduz, OF Alçin, A Kizilay, IO Yildirim European Archives of Oto-Rhino-Laryngology 279 (11), 5389-5399, 2022 | 16 | 2022 |
Short term PV power estimation by means of extreme learning machine and support vector machine A Karabiber, ÖF Alçin 2019 7th international Istanbul smart grids and cities congress and fair …, 2019 | 15 | 2019 |
OMP-ELM: orthogonal matching pursuit-based extreme learning machine for regression OF Alcin, A Sengur, J Qian, MC Ince Journal of Intelligent Systems 24 (1), 135-143, 2015 | 15 | 2015 |