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dc.contributor.authorThomopoulos, Stelios C. A.
dc.date.accessioned2024-05-23T10:13:27Z
dc.date.available2024-05-23T10:13:27Z
dc.date.issued2021
dc.identifierONIX_20240523__57
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/90537
dc.description.abstractundefined
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
dc.subject.otherMachine learning
dc.titleChapter Risk Assessment and Automated Anomaly Detection Using a Deep Learning Architecture
dc.typechapter
oapen.identifier.doi10.5772/intechopen.96209
oapen.relation.isPublishedBy09f6769d-48ed-467d-b150-4cf2680656a1*
oapen.relation.isFundedBy178e65b9-dd53-4922-b85c-0aaa74fce079
oapen.collectionEuropean Research Council (ERC)
oapen.grant.number653879
oapen.grant.acronymFLYSEC


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