Article:
Evaluation of Machine-Learning Models in Polymer Chemistry with Prediction of Not Reported Measurements

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dc.audienceResearchersen
dc.contributor.authorSingh, Shivani
dc.contributor.authorMondal, Sourov
dc.contributor.authorNieves, Juan Carlos
dc.contributor.authorTorra, Vicenç
dc.date.accessioned2026-02-06T12:09:09Z
dc.date.available2026-02-06T12:09:09Z
dc.date.issued2026
dc.description.sponsorshipThis research has been conducted in the project “Understanding and designing Block Copolymers using AI” funded by the KEMPE foundation. This work was partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation.
dc.identifier.citationSINGH, Shivani; MONDAL, Sourov; NIEVES, Juan Carlos and TORRA, Vicenç, 2026. Evaluation of Machine-Learning Models in Polymer Chemistry with Prediction of Not Reported Measurements. Online. In: STUPŇANOVÁ, Andrea; DYBA, Martin and PAVLISKA, Viktor (eds.). Proceedings of The Eighteenth International Conference on Fuzzy Set Theory and Applications. Ostrava: University of Ostrava, p. 98-101. ISBN 978-80-7599-515-5. Available at: https://doi.org/10.15452/978-80-7599-515-5.2026.20.en
dc.identifier.doi10.15452/978-80-7599-515-5.2026.20
dc.identifier.urihttps://eduo.osu.cz/handle/1/243
dc.language.isoen
dc.rights.licenseCC BY 4.0
dc.subjectfuzzy systemsen
dc.subjectmathematicsen
dc.subjectinformaticsen
dc.subject.czenasfuzzy systémycz
dc.subject.czenasmatematikacz
dc.subject.czenasinformatikacz
dc.subject.konspekt519.1/.8 - Kombinatorika. Teorie grafů. Matematická statistika. Operační výzkum. Matematické modelovánícz
dc.titleEvaluation of Machine-Learning Models in Polymer Chemistry with Prediction of Not Reported Measurementsen
dc.typeinfo:eu-repo/semantics/conferencePaper
dcterms.eventThe Eighteenth International Conference on Fuzzy Set Theory and Applications, Liptovský Ján, January 25 – 30, 2026
dspace.entity.typeArticle
oaire.resourceTypeconference paper
oaire.versioninfo:eu-repo/semantics/publishedVersion
relation.isPublicationOfArticle6afab15b-8c40-42f9-a7ec-39737fc00100
relation.isPublicationOfArticle.latestForDiscovery6afab15b-8c40-42f9-a7ec-39737fc00100
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