| Convolutional neural network hyperparameter tuning with adam optimizer for ECG classification SY Şen, N Özkurt 2020 innovations in intelligent systems and applications conference (ASYU), 1-6, 2020 | 103 | 2020 |
| Emotion classification from EEG signals in convolutional neural networks H Donmez, N Ozkurt 2019 innovations in intelligent systems and applications conference (ASYU), 1-6, 2019 | 54 | 2019 |
| Determination of wavelet ridges of nonstationary signals by singular value decomposition N Ozkurt, FA Savaci IEEE Transactions on Circuits and Systems II: Express Briefs 52 (8), 480-485, 2005 | 53 | 2005 |
| ECG arrhythmia classification by using convolutional neural network and spectrogram SY Şen, N Özkurt 2019 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-6, 2019 | 35 | 2019 |
| Classification of EMG signals using convolution neural network K Bakırcıoğlu, N Özkurt International Journal of Applied Mathematics Electronics and Computers 8 (4 …, 2020 | 34 | 2020 |
| Wavelet feature extraction for ECG beat classification S Saminu, N Özkurt, IA Karaye 2014 IEEE 6th International Conference on Adaptive Science & Technology …, 2014 | 27 | 2014 |
| A review of ADHD detection studies with machine learning methods using rsfMRI data G Taspinar, N Ozkurt NMR in Biomedicine 37 (8), e5138, 2024 | 23 | 2024 |
| ECG Beat Arrhythmia Classification by using 1-D CNN in case of Class Imbalance Ç Sarvan, N Özkurt 2019 Medical Technologies Congress (TIPTEKNO), 1-4, 2019 | 22 | 2019 |
| EEG motor movement classification based on cross-correlation with effective channel ML Al-Dabag, N Ozkurt Signal, Image and Video Processing 13 (3), 567-573, 2019 | 17 | 2019 |
| The circuit implementation of a wavelet function approximator N Özkurt, FA Savaci, M Gündüzalp Analog Integrated Circuits and Signal Processing 32 (2), 171-175, 2002 | 15 | 2002 |
| Feature selection and classification of EEG finger movement based on genetic Algorithm M Lokman, A Dabag, N Ozkurt, S Miqdad, M Najeeb 2018 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-5, 2018 | 14 | 2018 |
| Wavelet ridges for musical instrument classification ME Özbek, N Özkurt, FA Savacı Journal of Intelligent Information Systems 38 (1), 241-256, 2012 | 14 | 2012 |
| Stationary Wavelet Transform and Entropy-Based Features for ECG Beat Classification S Saminu, N Özkurt International Journal of Research Studies in Science, Engineering and …, 2015 | 13 | 2015 |
| Comparison of wavelet based feature extraction methods for speech/music discrimination T Düzenli, N Özkurt Electrical, Electronics and Computer Engineering (ELECO), 2010 National …, 2010 | 10 | 2010 |
| Reconstruction of nonstationary signals along the wavelet ridges N Özkurt, FA Savaci International Journal of Bifurcation and Chaos 16 (01), 191-198, 2006 | 8 | 2006 |
| Performance analysis of the speech enhancement application with wavelet transform domain adaptive filters E Özen Acarbay, N Özkurt International Journal of Speech Technology 26 (1), 245-258, 2023 | 7 | 2023 |
| 3D CNN based automatic diagnosis of ADHD using fMRI volumes G Taşpınar, N Özkurt Dokuz eylül üniversitesi mühendislik fakültesi fen ve mühendislik dergisi 25 …, 2023 | 7 | 2023 |
| Multiwavelet feature sets for ECG beat classification Ç Sarvan, N Özkurt 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 7 | 2017 |
| The implementation of nonlinear dynamical systems with wavelet network N Özkurt, FA Savacı AEU-International Journal of Electronics and Communications 60 (5), 338-344, 2006 | 7 | 2006 |
| Multi channel EEG based biometric system with a custom designed convolutional neural network K Bakırcıoglu, MB Tanimu, N Özkurt, M Seçmen, C Güzeliş, O Yıldız International Congress of Electrical and Computer Engineering, 124-134, 2022 | 6 | 2022 |
