Search Results - "Aličković, Emina"

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  1. 1

    Breast cancer diagnosis using GA feature selection and Rotation Forest by Aličković, Emina, Subasi, Abdulhamit

    Published in Neural computing & applications (01-04-2017)
    “…Breast cancer is one of the primary causes of death among the women worldwide, and the accurate diagnosis is one of the most significant steps in breast cancer…”
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    Journal Article
  2. 2

    Effect of photic stimulation for migraine detection using random forest and discrete wavelet transform by Subasi, Abdulhamit, Ahmed, Aysha, Aličković, Emina, Rashik Hassan, Ahnaf

    Published in Biomedical signal processing and control (01-03-2019)
    “…•This study investigates the effects of flash stimulation and window length on the EEG signal classification.•Different machine learning algorithms and…”
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    Journal Article
  3. 3

    Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction by Alickovic, Emina, Kevric, Jasmin, Subasi, Abdulhamit

    Published in Biomedical signal processing and control (01-01-2018)
    “…•EEG databases used to find a model for better detection and prediction of seizure onsets.•MSPCA is used to remove artefact-contaminated parts from EEG…”
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    Journal Article
  4. 4

    Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier by Alickovic, Emina, Subasi, Abdulhamit

    Published in Journal of medical systems (01-04-2016)
    “…In this study, Random Forests (RF) classifier is proposed for ECG heartbeat signal classification in diagnosis of heart arrhythmia. Discrete wavelet transform…”
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    Journal Article
  5. 5

    A Tutorial on Auditory Attention Identification Methods by Alickovic, Emina, Lunner, Thomas, Gustafsson, Fredrik, Ljung, Lennart

    Published in Frontiers in neuroscience (19-03-2019)
    “…Auditory attention identification methods attempt to identify the sound source of a listener's interest by analyzing measurements of electrophysiological data…”
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    Journal Article
  6. 6

    An exploratory Study of EEG Alpha Oscillation and Pupil Dilation in Hearing-Aid Users During Effortful listening to Continuous Speech by Seifi Ala, Tirdad, Graversen, Carina, Wendt, Dorothea, Alickovic, Emina, Whitmer, William M., Lunner, Thomas

    Published in PloS one (10-07-2020)
    “…Individuals with hearing loss allocate cognitive resources to comprehend noisy speech in everyday life scenarios. Such a scenario could be when they are…”
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    Journal Article
  7. 7

    Predictors for estimating subcortical EEG responses to continuous speech by Kulasingham, Joshua P, Bachmann, Florine L, Eskelund, Kasper, Enqvist, Martin, Innes-Brown, Hamish, Alickovic, Emina

    Published in PloS one (08-02-2024)
    “…Perception of sounds and speech involves structures in the auditory brainstem that rapidly process ongoing auditory stimuli. The role of these structures in…”
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    Journal Article
  8. 8

    Speech to noise ratio improvement induces nonlinear parietal phase synchrony in hearing aid users by Shahsavari Baboukani, Payam, Graversen, Carina, Alickovic, Emina, Østergaard, Jan

    Published in Frontiers in neuroscience (09-08-2022)
    “…Objectives Comprehension of speech in adverse listening conditions is challenging for hearing-impaired (HI) individuals. Noise reduction (NR) schemes in…”
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    Journal Article
  9. 9

    Novel bias-reduced coherence measure for EEG-based speech tracking in listeners with hearing impairment by Keding, Oskar, Alickovic, Emina, Skoglund, Martin A., Sandsten, Maria

    Published in Frontiers in neuroscience (06-11-2024)
    “…In the literature, auditory attention is explored through neural speech tracking, primarily entailing modeling and analyzing electroencephalography (EEG)…”
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    Journal Article
  10. 10

    Effects of Hearing Aid Noise Reduction on Early and Late Cortical Representations of Competing Talkers in Noise by Alickovic, Emina, Ng, Elaine Hoi Ning, Fiedler, Lorenz, Santurette, Sébastien, Innes-Brown, Hamish, Graversen, Carina

    Published in Frontiers in neuroscience (26-03-2021)
    “…Previous research using non-invasive (magnetoencephalography, MEG) and invasive (electrocorticography, ECoG) neural recordings has demonstrated the progressive…”
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    Journal Article
  11. 11

    Neural Representation Enhanced for Speech and Reduced for Background Noise With a Hearing Aid Noise Reduction Scheme During a Selective Attention Task by Alickovic, Emina, Lunner, Thomas, Wendt, Dorothea, Fiedler, Lorenz, Hietkamp, Renskje, Ng, Elaine Hoi Ning, Graversen, Carina

    Published in Frontiers in neuroscience (10-09-2020)
    “…Selectively attending to a target talker while ignoring multiple interferers (competing talkers and background noise) is more difficult for hearing-impaired…”
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    Journal Article
  12. 12

    Estimating Conditional Transfer Entropy in Time Series Using Mutual Information and Nonlinear Prediction by Shahsavari Baboukani, Payam, Graversen, Carina, Alickovic, Emina, Østergaard, Jan

    Published in Entropy (Basel, Switzerland) (03-10-2020)
    “…We propose a new estimator to measure directed dependencies in time series. The dimensionality of data is first reduced using a new non-uniform embedding…”
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    Journal Article
  13. 13

    Ensemble SVM Method for Automatic Sleep Stage Classification by Alickovic, Emina, Subasi, Abdulhamit

    “…Sleep scoring is used as a diagnostic technique in the diagnosis and treatment of sleep disorders. Automated sleep scoring is crucial, since the large volume…”
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    Journal Article
  14. 14

    Effect of Multiscale PCA De-noising in ECG Beat Classification for Diagnosis of Cardiovascular Diseases by Alickovic, Emina, Subasi, Abdulhamit

    Published in Circuits, systems, and signal processing (01-02-2015)
    “…Current trends in clinical applications demand automation in electrocardiogram (ECG) signal processing and heart beat classification. This paper examines the…”
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    Journal Article
  15. 15

    Hearing Aid Noise Reduction Lowers the Sustained Listening Effort During Continuous Speech in Noise—A Combined Pupillometry and EEG Study by Fiedler, Lorenz, Seifi Ala, Tirdad, Graversen, Carina, Alickovic, Emina, Lunner, Thomas, Wendt, Dorothea

    Published in Ear and hearing (01-11-2021)
    “…The investigation of auditory cognitive processes recently moved from strictly controlled, trial-based paradigms toward the presentation of continuous speech…”
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    Journal Article
  16. 16

    Three New Outcome Measures That Tap Into Cognitive Processes Required for Real-Life Communication by Lunner, Thomas, Alickovic, Emina, Graversen, Carina, Ng, Elaine Hoi Ning, Wendt, Dorothea, Keidser, Gitte

    Published in Ear and hearing (01-11-2020)
    “…To increase the ecological validity of outcomes from laboratory evaluations of hearing and hearing devices, it is desirable to introduce more realistic outcome…”
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    Journal Article
  17. 17

    Deep learning-based auditory attention decoding in listeners with hearing impairment by Tanveer, M Asjid, Skoglund, Martin A, Bernhardsson, Bo, Alickovic, Emina

    Published in Journal of neural engineering (01-06-2024)
    “…This study develops a deep learning (DL) method for fast auditory attention decoding (AAD) using electroencephalography (EEG) from listeners with hearing…”
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    Journal Article
  18. 18

    Improving EEG-based decoding of the locus of auditory attention through domain adaptation by Wilroth, Johanna, Bernhardsson, Bo, Heskebeck, Frida, Skoglund, Martin A, Bergeling, Carolina, Alickovic, Emina

    Published in Journal of neural engineering (01-12-2023)
    “…This paper presents a novel domain adaptation (DA) framework to enhance the accuracy of electroencephalography (EEG)-based auditory attention classification,…”
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    Journal Article
  19. 19

    Nonlinearity Detection and Compensation for EEG-Based Speech Tracking by Wilroth, Johanna, Alickovic, Emina, Skoglund, Martin A., Enqvist, Martin

    “…Clusters of neurons generate electrical signals which propagate in all directions through brain tissue, skull, and scalp of different conductivity. Measuring…”
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    Conference Proceeding
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