Martin Skoglund
Adjunct Associate Professor
Publications
M. Asjid Tanveer, Martin Skoglund, Bo Bernhardsson, Emina Alickovic, 
Deep learning-based auditory attention decoding in listeners with hearing impairment, Journal of Neural Engineering 21:036022 (2024) 
https://doi.org/10.1088/1741-2552/ad49d7
Oskar Keding, Emina Alickovic, Martin Skoglund, Maria Sandsten, Novel bias-reduced coherence measure for EEG-based speech tracking in listeners with hearing impairment, Frontiers in Neuroscience 18:1415397 (2024) https://doi.org/10.3389/fnins.2024.1415397
Oskar Keding, Johanna Wilroth, Martin Skoglund, Emina Alickovic, Effect of Independent Component Artifact Rejection on EEG-Based Auditory Attention Decoding, 32ND EUROPEAN SIGNAL PROCESSING CONFERENCE, EUSIPCO 2024, European Signal Processing Conference, pp. 877-881, IEEE (2024) https://doi.org/10.23919/EUSIPCO63174.2024.10715429
Anton Kullberg, Martin Skoglund, Isaac Skog, Gustaf Hendeby, On the Relationship Between Iterated Statistical Linearization and Quasi–Newton Methods, IEEE Signal Processing Letters 30:1777-1781 (2023) https://doi.org/10.1109/lsp.2023.3336559
Emina Alickovic, Carlos Francisco Mendoza, Andrew Segar, Maria Sandsten, Martin Skoglund, DECODING AUDITORY ATTENTION FROM EEG DATA USING CEPSTRAL ANALYSIS, 2023 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING WORKSHOPS, ICASSPW, IEEE (2023) https://doi.org/10.1109/ICASSPW59220.2023.10193192