Resource allocation in ordinal classification problems: A prescriptive framework utilizing machine learning and mathematical programming.
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| Title: | Resource allocation in ordinal classification problems: A prescriptive framework utilizing machine learning and mathematical programming. |
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| Authors: | Rabkin, Lior1, Lior.rabkin@biu.ac.il, Cohen, Ilan1, Ilan-reuven.cohen@biu.ac.il, Singer, Gonen1, Gonen.Singer@biu.ac.il |
| Source: | Engineering Applications of Artificial Intelligence; Jun2024, Vol. 132, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 177088657 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177088657 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.engappai.2024.107914 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Titles: – TitleFull: Resource allocation in ordinal classification problems: A prescriptive framework utilizing machine learning and mathematical programming. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rabkin, Lior – PersonEntity: Name: NameFull: Cohen, Ilan – PersonEntity: Name: NameFull: Singer, Gonen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09521976 Numbering: – Type: volume Value: 132 Titles: – TitleFull: Engineering Applications of Artificial Intelligence Type: main |
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