Developing a Deep Learning Based Approach for Anomalies Detection from EEG Data

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Alvi, Ashik Mostafa A ORCID: 0000-0001-7898-2030, Siuly, Siuly ORCID: 0000-0003-2491-0546 and Wang, Hua ORCID: 0000-0002-8465-0996 (2021) Developing a Deep Learning Based Approach for Anomalies Detection from EEG Data. In: International Conference on Web Information Systems Engineering, 26-29 Oct 2021, Melbourne, Australia.

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Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/43217
DOI https://doi.org/10.1007/978-3-030-90888-1_45
Official URL https://link.springer.com/chapter/10.1007/978-3-03...
ISBN 9783030908874
Subjects Current > FOR (2020) Classification > 4605 Data management and data science
Current > FOR (2020) Classification > 4611 Machine learning
Current > Division/Research > First Year College
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords EEG, deep learning, electroencephalography, traditional machine learning, TMC
Citations in Scopus 2 - View on Scopus
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