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section.5.5 Children: Item: Title: 5.1 Open Research Questions Destination: subsection.5.5.1 Item: Title: 6 Solutions Using Genetic Algorithms Destination: section.5.6 Item: Title: 7 Conclusions and Future Work Destination: section.5.7 Item: Title: References Destination: section*.1 Info: Title: Explaining Recurrent Machine Learning Models: Integral Privacy Revisited Author: Vicenç Torra Subject: Privacy in Statistical Databases, doi:10.1007/978-3-030-57521-2_5 Keywords: Integral privacy,Maximal c-consensus meets,Clustering,Parameter selection Creator: Springer Producer: Acrobat Distiller 10.1.8 (Windows) CreationDate: Tue Aug 18 11:23:18 CEST 2020 ModDate: Tue Aug 18 11:25:03 CEST 2020 ID: 0x0660bf8bf787a091dff8d2cb3081fb31, 0xe038b0507284cb4785fd2ff5a1efef03 Filters: FilterPipeline: FlateDecode FilterPipeline: DCTDecode Images: Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 260 ImageHeight: 260 BitsPerSample: 8 BitsPerSampleUnit: integer Fonts: 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Learning Models: Integral Privacy Revisited Vicenç Torra Guillermo Navarro-Arribas Edgar Galván 10.1007/978-3-030-57521-2_5 2010-04-23 true springer.com springerlink.com http://dx.doi.org/10.1007/978-3-030-57521-2_5 10.1007/978-3-030-57521-2_5 Book The Author(s) 2010-04-23 true 10.1007/978-3-030-57521-2_5 noindex springer.com springerlink.com uuid:5a92e33e-ef99-41af-8f27-fe4f627a9a7b uuid:fd8f00d5-2a3e-49e1-a341-c24ae2342ed7 default 1 converted uuid:8501c2f1-426a-4a48-b2e6-9268d4499928 converted to PDF/A-2b pdfToolbox 2020-08-18T14:24:13+05:30 converted uuid:a1d195a5-1631-4e28-8fa3-59901b0d937f converted to PDF/A-2b pdfToolbox 2020-08-18T14:24:55+05:30 2 B http://ns.adobe.com/pdfx/1.3/ pdfx Adobe Document Info PDF eXtension Schema external Mirrors crossmark:MajorVersionDate CrossmarkMajorVersionDate Text external Mirrors crossmark:CrossmarkDomainExclusive CrossmarkDomainExclusive Text internal Mirrors crossmark:DOI doi Text external Mirrors crossmark:CrosMarkDomains CrossMarkDomains 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