INTERPRETING CONVOLUTIONAL NEURAL NETWORKS BY EXPLAINING THEIR PREDICTIONS

dc.contributor.author	Meynen, Toon
dc.contributor.author	Behzadi, Hamed
dc.contributor.author	Oramas Mogrovejo, Jose Antonio
dc.contributor.imecauthor	Meynen, Toon
dc.contributor.imecauthor	Behzadi, Hamed
dc.contributor.imecauthor	Oramas Mogrovejo, Jose Antonio
dc.contributor.orcidimec	Behzadi, Hamed::0000-0003-1546-3852
dc.contributor.orcidimec	Oramas Mogrovejo, Jose Antonio::0000-0002-8607-5067
dc.date.accessioned	2024-05-23T12:09:32Z
dc.date.available	2024-03-04T17:58:00Z
dc.date.available	2024-05-23T12:09:32Z
dc.date.issued	2023
dc.description.wosFundingText	This work is partially supported by the UAntwerp BOF DOCPRO4 Project (id 41612) "Multimedia RElational Interpretation for Deep Models", and the FWO Project G0A4720N "Design and Interpret". We would like to thank Salma Haidar for the provided feedback.
dc.identifier.doi	10.1109/ICIP49359.2023.10222871
dc.identifier.eisbn	978-1-7281-9835-4
dc.identifier.issn	N/A
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/43621
dc.publisher	IEEE
dc.source.beginpage	1685
dc.source.conference	30th IEEE International Conference on Image Processing (ICIP)
dc.source.conferencedate	OCT 08-11, 2023
dc.source.conferencelocation	Kuala Lumpur
dc.source.endpage	1689
dc.source.journal	N/A
dc.source.numberofpages	5
dc.title	INTERPRETING CONVOLUTIONAL NEURAL NETWORKS BY EXPLAINING THEIR PREDICTIONS
dc.type	Proceedings paper
dspace.entity.type	Publication
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