Emina Alickovic
Emina Alickovic
Eriksholm Research Centre
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Cited by
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
Breast cancer diagnosis using GA feature selection and Rotation Forest
E Aličković, A Subasi
Neural Computing and Applications, 1-11, 2015
Ensemble SVM Method for Automatic Sleep Stage Classification
E Alickovic, A Subasi
IEEE Transactions on Instrumentation and Measurement, 1-8, 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
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
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
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
A tutorial on auditory attention identification methods
E Alickovic, T Lunner, F Gustafsson, L Ljung
Frontiers in neuroscience, 153, 2019
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
Normalized neural networks for breast cancer classification
E Alickovic, A Subasi
CMBEBIH 2019: Proceedings of the International Conference on Medical and …, 2020
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
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
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
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
Hearing assistance system comprising an EEG-recording and analysis system
T Lunner, F Gustafsson, C Graversen, E Alickovic
US Patent 10,362,414, 2019
Creating clarity in noisy environments by using deep learning in hearing aids
AH Andersen, S Santurette, MS Pedersen, E Alickovic, L Fiedler, J Jensen, ...
Seminars in hearing 42 (03), 260-281, 2021
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
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
Data Mining Techniques for Medical Data Classification
E Aličković, A Subasi
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
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