Author

J. Zegers

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Bioengineering· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electrophysiology· 1 Approach:statistical model· 1

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A. Bertrand· 1 shared H. Van hamme· 1 shared N. Das· 1 shared T. Francart· 1 shared

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1 shared paperBioengineering

A. Bertrand

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1 paper

Recent·Most cited

BioengineeringbioRxivJan 22, 2020

Linear versus deep learning methods for noisy speech separation for EEG-informed attention decoding

N. Das, J. Zegers, H. Van hamme…·A. Bertrand

This paper compares linear and deep learning methods for speech separation in EEG-informed attention decoding, finding linear methods competitive and DNNs beneficial when combined with beamformers.

DOI 10.1088/1741-2552/aba6f8

electrophysiologydeep learning

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