Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/47403
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dc.contributor.authorGerarts, Mark-
dc.contributor.authorSTEEGMANS, Juno-
dc.contributor.authorVAN DEN BUSSCHE, Jan-
dc.date.accessioned2025-09-26T08:56:04Z-
dc.date.available2025-09-26T08:56:04Z-
dc.date.issued2025-
dc.date.submitted2025-09-19T09:47:06Z-
dc.identifier.citationProceedings of the ninth workshop on data managment for end-to-end machine learning, DEEM, ASSOC COMPUTING MACHINERY, p. 1 -5 (Art N° 10)-
dc.identifier.isbn979-8-4007-1924-0-
dc.identifier.urihttp://hdl.handle.net/1942/47403-
dc.description.abstractWe consider machine learning models, learned from data, to be an important, intensional kind of data in themselves. As such, various analysis tasks on models can be thought of as queries over this intensional data, often combined with extensional data such as data for training or validation. We argue that relational database systems and SQL can be well suited for many such tasks.-
dc.description.sponsorshipFlanders AI Research Programme-
dc.language.isoen-
dc.publisherASSOC COMPUTING MACHINERY-
dc.rights2025 Copyright held by the owner/author(s). Publication rights licensed to ACM-
dc.subject.otherneural network-
dc.subject.otherCCS Concepts-
dc.subject.otherInformation systems → Query languages;-
dc.subject.otherReLU-
dc.subject.otherintensional data-
dc.subject.otherComputing methodologies → Machine learning Keywords neural network, ReLU, intensional data, piecewise linear function, integration, pruning, saliency map-
dc.subject.otherpiecewise linear function-
dc.subject.otherintegration-
dc.subject.otherpruning-
dc.subject.othersaliency map-
dc.titleSQL4NN: Validation and Expressive Querying of Models as Data-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedate2025, June 22-27-
local.bibliographicCitation.conferencename9th Workshop on Data Management for End-to-End Machine Learning-DEEM-
local.bibliographicCitation.conferenceplaceBerlin, GERMANY-
dc.identifier.epage5-
dc.identifier.spage1-
local.format.pages5-
local.bibliographicCitation.jcatC1-
dc.description.notesGerarts, M (corresponding author), Hasselt Univ, Hasselt, Belgium.-
dc.description.notesmark.gerarts@student.uhasselt.be; juno.steegmans@uhasselt.be;-
dc.description.notesjan.vandenbussche@uhasselt.be-
local.publisher.place1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.bibliographicCitation.artnr10-
dc.identifier.doi10.1145/3735654.3735946-
dc.identifier.isi001532062900010-
local.provider.typewosris-
local.bibliographicCitation.btitleProceedings of the ninth workshop on data managment for end-to-end machine learning, DEEM-
local.description.affiliation[Gerarts, Mark; Steegmans, Juno; Van den Bussche, Jan] Hasselt Univ, Hasselt, Belgium.-
local.uhasselt.internationalno-
item.accessRightsRestricted Access-
item.fulltextWith Fulltext-
item.contributorGerarts, Mark-
item.contributorSTEEGMANS, Juno-
item.contributorVAN DEN BUSSCHE, Jan-
item.fullcitationGerarts, Mark; STEEGMANS, Juno & VAN DEN BUSSCHE, Jan (2025) SQL4NN: Validation and Expressive Querying of Models as Data. In: Proceedings of the ninth workshop on data managment for end-to-end machine learning, DEEM, ASSOC COMPUTING MACHINERY, p. 1 -5 (Art N° 10).-
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