Ψηφιακό αποθετήριο Τμήματος Μηχανικών Πληροφορικής και Ηλεκτρονικών Συστημάτων
 

Deep Learning Architectures for Greek Orthodox Church Hymns Recognition: The Ymnodos Project

dc.contributor.authorLazaros Alexios Iliadis
dc.contributor.authorAchilles D. Boursianis
dc.contributor.authorPanagiotis Sarigiannidis
dc.contributor.authorZaharias D. Zaharis
dc.contributor.authorSotirios P. Sotiroudis
dc.contributor.authorMaria S. Papadopoulou
dc.contributor.authorChristos G. Christodoulou
dc.contributor.authorSotirios K. Goudos
dc.date.accessioned2024-10-07T08:20:52Z
dc.date.available2024-10-07T08:20:52Z
dc.date.issued2023
dc.description.abstracthttps://www.researchgate.net/publication/384234377_Deep_Learning_Architectures_for_Greek_Orthodox_Church_Hymns_Recognition_The_Ymnodos_Projecten
dc.identifier.urihttps://dspace.iee.ihu.gr/handle/123456789/12434
dc.publisherIEEEen
dc.titleDeep Learning Architectures for Greek Orthodox Church Hymns Recognition: The Ymnodos Projecten
dc.title.alternativeEmerging Tech Conference-Edge Intelligence (ETCEI 2023)en
dc.typeconference-paperen
relation.isAuthorOfPublication

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