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dc.contributor.authorSuresh, Harini
dc.contributor.authorLewis, Kathleen
dc.contributor.authorGuttag, John
dc.contributor.authorSatyanarayan, Arvind
dc.date.accessioned2022-11-15T19:20:21Z
dc.date.available2022-11-15T19:20:21Z
dc.date.issued2022-03-22
dc.identifier.isbn978-1-4503-9144-3
dc.identifier.urihttps://hdl.handle.net/1721.1/146483
dc.publisherACM|27th International Conference on Intelligent User Interfacesen_US
dc.relation.isversionofhttps://doi.org/10.1145/3490099.3511160en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACM|27th International Conference on Intelligent User Interfacesen_US
dc.titleIntuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputsen_US
dc.typeArticleen_US
dc.identifier.citationSuresh, Harini, Lewis, Kathleen, Guttag, John and Satyanarayan, Arvind. 2022. "Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-03T12:37:59Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-11-03T12:37:59Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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