A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals Shoeibi, Afshin, Ghassemi, Navid, Alizadehsani, Roohallah, Rouhani, Modjtaba, Hosseini-Nejad, Hossein, Khosravi, Abbas, Panahiazar, Maryam and Nahavandi, Saeid 2021, A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals, Expert Systems with Applications, vol. 163, pp. 113788-113788, doi: 10.1016/j.eswa.2020.113788. Attached Files Name Description MIMEType Size Downloads Title A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals Author(s) Shoeibi, Afshin Ghassemi, Navid Alizadehsani, Roohallah Rouhani, Modjtaba Hosseini-Nejad, Hossein Khosravi, Abbas orcid.org/0000-0001-6927-0744 Panahiazar, Maryam Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Journal name Expert Systems with Applications Volume number 163 Article ID 113788 Start page 113788 End page 113788 Total pages 16 Publisher Elsevier Place of publication Oxford, Eng. Publication date 2021-01-01 ISSN 0957-4174 Keyword(s) Epileptic seizures Electroencephalography (EEG) Convolutional autoencoder Feature extraction Computational complexity Language eng DOI 10.1016/j.eswa.2020.113788 Indigenous content off Field of Research 01 Mathematical Sciences 08 Information and Computing Sciences 09 Engineering HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2020, Crown Copyright Persistent URL http://hdl.handle.net/10536/DRO/DU:30141920 Document type: Journal Article Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 14 Sep 2020, 16:04:58 EST Tue, 15 Sep 2020, 05:01:13 EST Sat, 03 Oct 2020, 06:04:15 EST Tue, 06 Oct 2020, 09:59:07 EST Tue, 06 Oct 2020, 10:02:34 EST Sat, 14 Nov 2020, 01:30:35 EST Filtered Full Citation counts:   Cited 6 times in TR Web of Science Cited 7 times in Scopus Search Google Scholar Access Statistics: 114 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 14 Sep 2020, 16:04:58 EST

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