| Emotion recognition from EEG signals by using multivariate empirical mode decomposition A Mert, A Akan Pattern Analysis and Applications 21 (1), 81-89, 2018 | 287 | 2018 |
| Signals and systems using MATLAB® A Akan, LF Chaparro Elsevier, 2024 | 224 | 2024 |
| Cardiac arrhythmia detection from 2d ecg images by using deep learning technique E Izci, MA Ozdemir, M Degirmenci, A Akan 2019 medical technologies congress (TIPTEKNO), 1-4, 2019 | 148 | 2019 |
| Real time emotion recognition from facial expressions using CNN architecture MA Ozdemir, B Elagoz, A Alaybeyoglu, R Sadighzadeh, A Akan 2019 medical technologies congress (tiptekno), 1-4, 2019 | 140 | 2019 |
| Detrended fluctuation thresholding for empirical mode decomposition based denoising A Mert, A Akan Digital signal processing 32, 48-56, 2014 | 126 | 2014 |
| Breast cancer detection with reduced feature set A Mert, N Kılıç, E Bilgili, A Akan Computational and mathematical methods in medicine 2015 (1), 265138, 2015 | 125 | 2015 |
| EEG-based emotion recognition with deep convolutional neural networks MA Ozdemir, M Degirmenci, E Izci, A Akan Biomedical Engineering/Biomedizinische Technik 66 (1), 43-57, 2021 | 118 | 2021 |
| Hand gesture classification using time–frequency images and transfer learning based on CNN MA Ozdemir, DH Kisa, O Guren, A Akan Biomedical Signal Processing and Control 77, 103787, 2022 | 111 | 2022 |
| Epileptic EEG classification by using time-frequency images for deep learning MA Ozdemir, OK Cura, A Akan International journal of neural systems 31 (08), 2150026, 2021 | 111 | 2021 |
| Arrhythmic heartbeat classification using 2d convolutional neural networks M Degirmenci, MA Ozdemir, E Izci, A Akan Irbm 43 (5), 422-433, 2022 | 108 | 2022 |
| Emotion recognition based on time–frequency distribution of EEG signals using multivariate synchrosqueezing transform A Mert, A Akan Digital Signal Processing 81, 106-115, 2018 | 108 | 2018 |
| Time–frequency signal processing: Today and future A Akan, OK Cura Digital Signal Processing 119, 103216, 2021 | 103 | 2021 |
| Multi-window Gabor expansion for evolutionary spectral analysis A Akan, LF Chaparro Signal Processing 63 (3), 249-262, 1997 | 98 | 1997 |
| Epileptic seizure classifications using empirical mode decomposition and its derivative O Karabiber Cura, S Kocaaslan Atli, HS Türe, A Akan Biomedical engineering online 19 (1), 10, 2020 | 94 | 2020 |
| Dataset for multi-channel surface electromyography (sEMG) signals of hand gestures MA Ozdemir, DH Kisa, O Guren, A Akan Data in brief 41, 107921, 2022 | 84 | 2022 |
| Discrete evolutionary transform for time–frequency signal analysis R Suleesathira, LF Chaparro, A Akan Journal of the Franklin Institute 337 (4), 347-364, 2000 | 84 | 2000 |
| Synchrosqueezing transform based feature extraction from EEG signals for emotional state prediction P Ozel, A Akan, B Yilmaz Biomedical Signal Processing and Control 52, 152-161, 2019 | 83 | 2019 |
| EMG based hand gesture recognition using deep learning MA Ozdemir, DH Kisa, O Guren, A Onan, A Akan 2020 Medical Technologies Congress (TIPTEKNO), 1-4, 2020 | 81 | 2020 |
| Evaluation of bagging ensemble method with time-domain feature extraction for diagnosing of arrhythmia beats A Mert, N Kılıç, A Akan Neural Computing and Applications 24 (2), 317-326, 2014 | 81 | 2014 |
| Wearable sensor-based evaluation of psychosocial stress in patients with metabolic syndrome FP Akbulut, B Ikitimur, A Akan Artificial Intelligence in Medicine 104, 101824, 2020 | 79 | 2020 |
Luis F. ChaparroProfessor of electrical and computer engineering university of PittsburghVerified email at ee.pitt.edu
