Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction E Alickovic, J Kevric, A Subasi Biomedical signal processing and control 39, 94-102, 2018 | 315 | 2018 |
Breast cancer diagnosis using GA feature selection and Rotation Forest E Aličković, A Subasi Neural Computing and Applications, 1-11, 2015 | 271 | 2015 |
Ensemble SVM Method for Automatic Sleep Stage Classification E Alickovic, A Subasi IEEE Transactions on Instrumentation and Measurement, 1-8, 2018 | 193 | 2018 |
Medical decision support system for diagnosis of heart arrhythmia using DWT and random forests classifier E Alickovic, A Subasi Journal of medical systems 40 (4), 108, 2016 | 165 | 2016 |
Diagnosis of chronic kidney disease by using random forest A Subasi, E Alickovic, J Kevric CMBEBIH 2017: Proceedings of the International Conference on Medical and …, 2017 | 121 | 2017 |
Effect of multiscale PCA de-noising in ECG beat classification for diagnosis of cardiovascular diseases E Alickovic, A Subasi Circuits, Systems, and Signal Processing 34, 513-533, 2015 | 114 | 2015 |
A tutorial on auditory attention identification methods E Alickovic, T Lunner, F Gustafsson, L Ljung Frontiers in neuroscience, 153, 2019 | 46 | 2019 |
Electroencephalography-based auditory attention decoding: Toward neurosteered hearing devices S Geirnaert, S Vandecappelle, E Alickovic, A de Cheveigne, E Lalor, ... IEEE Signal Processing Magazine 38 (4), 89-102, 2021 | 35 | 2021 |
Effect of photic stimulation for migraine detection using random forest and discrete wavelet transform A Subasi, A Ahmed, E Aličković, AR Hassan Biomedical signal processing and control 49, 231-239, 2019 | 33 | 2019 |
Normalized neural networks for breast cancer classification E Alickovic, A Subasi CMBEBIH 2019: Proceedings of the International Conference on Medical and …, 2020 | 32 | 2020 |
An exploratory study of EEG alpha oscillation and pupil dilation in hearing-aid users during effortful listening to continuous speech T Seifi Ala, C Graversen, D Wendt, E Alickovic, WM Whitmer, T Lunner Plos one 15 (7), e0235782, 2020 | 23 | 2020 |
Automatic detection of alzheimer disease based on histogram and random forest E Alickovic, A Subasi, Alzheimer’s Disease Neuroimaging Initiative CMBEBIH 2019: Proceedings of the International Conference on Medical and …, 2020 | 20 | 2020 |
Hearing aid noise reduction lowers the sustained listening effort during continuous speech in noise—A combined pupillometry and EEG study L Fiedler, TS Ala, C Graversen, E Alickovic, T Lunner, D Wendt Ear and hearing 42 (6), 1590-1601, 2021 | 14 | 2021 |
Three new outcome measures that tap into cognitive processes required for real-life communication T Lunner, E Alickovic, C Graversen, EHN Ng, D Wendt, G Keidser Ear and hearing 41 (Suppl 1), 39S, 2020 | 14 | 2020 |
Data Mining Techniques for Medical Data Classification E Aličković, A Subasi | 14 | 2011 |
A System Identification Approach to Determining Listening Attention from EEG Signals E Alickovic, T Lunner, F Gustafsson 24th European Signal Processing Conference (EUSIPCO 2016), 31-35, 2016 | 13 | 2016 |
Neural representation enhanced for speech and reduced for background noise with a hearing aid noise reduction scheme during a selective attention task E Alickovic, T Lunner, D Wendt, L Fiedler, R Hietkamp, EHN Ng, ... Frontiers in neuroscience 14, 846, 2020 | 11 | 2020 |
Hearing assistance system comprising an EEG-recording and analysis system T Lunner, F Gustafsson, C Graversen, E Alickovic US Patent 10,362,414, 2019 | 11 | 2019 |
Effects of hearing aid noise reduction on early and late cortical representations of competing talkers in noise E Alickovic, EHN Ng, L Fiedler, S Santurette, H Innes-Brown, C Graversen Frontiers in neuroscience 15, 636060, 2021 | 10 | 2021 |
Estimating conditional transfer entropy in time series using mutual information and nonlinear prediction P Shahsavari Baboukani, C Graversen, E Alickovic, J Østergaard Entropy 22 (10), 1124, 2020 | 9 | 2020 |