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ORCIDEmina Alickovic
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2020 – today
- 2024
[c8]Oskar Keding, Johanna Wilroth, Martin A. Skoglund, Emina Alickovic:
Effect of Independent Component Artifact Rejection on EEG-Based Auditory Attention Decoding. EUSIPCO 2024: 877-881- [c7]Johanna Wilroth, Emina Alickovic, Martin A. Skoglund, Martin Enqvist:
Nonlinearity Detection and Compensation for EEG-Based Speech Tracking. ICASSP 2024: 1811-1815 - 2023
- [j9]Tirdad Seifi Ala
, Emina Alickovic, Alvaro Fuentes Cabrera, William M. Whitmer, Lauren V. Hadley, Mike Lind Rank, Thomas Lunner, Carina Graversen:
Alpha Oscillations During Effortful Continuous Speech: From Scalp EEG to Ear-EEG. IEEE Trans. Biomed. Eng. 70(4): 1264-1273 (2023) - [c6]Emina Alickovic, Tobias Dorszewski, Thomas U. Christiansen, Kasper Eskelund, Leonardo Gizzi, Martin A. Skoglund, Dorothea Wendt:
Predicting EEG Responses to Attended Speech via Deep Neural Networks for Speech. EMBC 2023: 1-4 - [c5]Emina Alickovic, Carlos Francisco Mendoza, Andrew Segar, Maria Sandsten, Martin A. Skoglund:
Decoding Auditory Attention From EEG Data Using Cepstral Analysis. ICASSP Workshops 2023: 1-5 - [c4]Oskar Keding, Emina Alickovic, Martin A. Skoglund, Maria Sandsten:
Coherence Estimation Tracks Auditory Attention in Listeners with Hearing Impairment. INTERSPEECH 2023: 5162-5166 - [i3]Emina Alickovic, Tobias Dorszewski, Thomas U. Christiansen, Kasper Eskelund, Leonardo Gizzi, Martin A. Skoglund, Dorothea Wendt:
Predicting EEG Responses to Attended Speech via Deep Neural Networks for Speech. CoRR abs/2302.13553 (2023) - 2022
- [i2]Zlatan Ajanovic, Emina Alickovic, Aida Brankovic, Sead Delalic, Eldar Kurtic, Salem Malikic, Adnan Mehonic, Hamza Merzic, Kenan Sehic, Bahrudin Trbalic:
Vision for Bosnia and Herzegovina in Artificial Intelligence Age: Global Trends, Potential Opportunities, Selected Use-cases and Realistic Goals. CoRR abs/2209.03990 (2022) - 2021
- [j8]Simon Geirnaert, Servaas Vandecappelle, Emina Alickovic, Alain de Cheveigné, Edmund C. Lalor, Bernd T. Meyer, Sina Miran, Tom Francart, Alexander Bertrand:
Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices. IEEE Signal Process. Mag. 38(4): 89-102 (2021) - [c3]Payam Shahsavari Baboukani, Carina Graversen, Emina Alickovic, Jan Østergaard:
EEG Phase Synchrony Reflects SNR Levels During Continuous Speech-in-Noise Tasks. EMBC 2021: 531-534 - 2020
- [j7]Payam Shahsavari Baboukani, Carina Graversen, Emina Alickovic, Jan Østergaard:
Estimating Conditional Transfer Entropy in Time Series Using Mutual Information and Nonlinear Prediction. Entropy 22(10): 1124 (2020) - [i1]Payam Shahsavari Baboukani, Carina Graversen, Emina Alickovic, Jan Østergaard:
Estimating Conditional Transfer Entropy in Time Series using Mutual Information and Non-linear Prediction. CoRR abs/2011.13655 (2020)
2010 – 2019
- 2019
- [j6]Abdulhamit Subasi, Aysha Ahmed, Emina Alickovic, Ahnaf Rashik Hassan:
Effect of photic stimulation for migraine detection using random forest and discrete wavelet transform. Biomed. Signal Process. Control. 49: 231-239 (2019) - 2018
- [j5]Emina Alickovic, Jasmin Kevric, Abdulhamit Subasi:
Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction. Biomed. Signal Process. Control. 39: 94-102 (2018) - [j4]Emina Alickovic, Abdulhamit Subasi:
Ensemble SVM Method for Automatic Sleep Stage Classification. IEEE Trans. Instrum. Meas. 67(6): 1258-1265 (2018) - 2017
- [j3]Emina Alickovic, Abdulhamit Subasi:
Breast cancer diagnosis using GA feature selection and Rotation Forest. Neural Comput. Appl. 28(4): 753-763 (2017) - 2016
- [j2]Emina Alickovic, Abdulhamit Subasi:
Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier. J. Medical Syst. 40(4): 108:1-108:12 (2016) - [c2]Emina Alickovic, Thomas Lunner, Fredrik Gustafsson:
A system identification approach to determining listening attention from EEG signals. EUSIPCO 2016: 31-35 - 2015
- [j1]Emina Alickovic, Abdulhamit Subasi:
Effect of Multiscale PCA De-noising in ECG Beat Classification for Diagnosis of Cardiovascular Diseases. Circuits Syst. Signal Process. 34(2): 513-533 (2015) - [c1]Emina Alickovic, Zdenka Babic:
The effect of denoising on classification of ECG signals. ICAT 2015: 1-6
Coauthor Index
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last updated on 2024-11-07 20:33 CET by the dblp team
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