Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/115389
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dc.contributor.authorTruong, N.-
dc.contributor.authorNguyen, A.-
dc.contributor.authorKuhlmann, L.-
dc.contributor.authorBonyadi, M.-
dc.contributor.authorYang, J.-
dc.contributor.authorIppolito, S.-
dc.contributor.authorKavehei, O.-
dc.date.issued2018-
dc.identifier.citationNeural Networks, 2018; 105:104-111-
dc.identifier.issn0893-6080-
dc.identifier.issn1879-2782-
dc.identifier.urihttp://hdl.handle.net/2440/115389-
dc.descriptionAvailable online 7 May 2018-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityNhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann, Mohammad Reza Bonyadi, Jiawei Yang, Samuel Ippolito, Omid Kavehei-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2018 Elsevier Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.neunet.2018.04.018-
dc.subjectSeizure prediction-
dc.subjectConvolutional neural network-
dc.subjectMachine learning-
dc.subjectIntracranial EEG-
dc.subjectScalp EEG-
dc.titleConvolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram-
dc.typeJournal article-
dc.identifier.doi10.1016/j.neunet.2018.04.018-
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1065638-
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1130468-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest 3
Computer Science publications

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