Improving classification on imbalanced genomic data via KDE–based synthetic sampling.
Saved in:
| Title: | Improving classification on imbalanced genomic data via KDE–based synthetic sampling. |
|---|---|
| Authors: | Taccaliti, Edoardo1 (AUTHOR) edoardo.toccaliti@unina.it, Aguilar–Ruiz, Jesus S.2 (AUTHOR) aguilar@upo.es |
| Source: | BioData Mining. 8/29/2025, Vol. 18 Issue 1, p1-16. 16p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: asn DbLabel: Academic Search Ultimate An: 187667773 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Improving classification on imbalanced genomic data via KDE–based synthetic sampling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Taccaliti%2C+Edoardo%22">Taccaliti, Edoardo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> edoardo.toccaliti@unina.it</i><br /><searchLink fieldCode="AR" term="%22Aguilar–Ruiz%2C+Jesus+S%2E%22">Aguilar–Ruiz, Jesus S.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> aguilar@upo.es</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22BioData+Mining%22">BioData Mining</searchLink>. 8/29/2025, Vol. 18 Issue 1, p1-16. 16p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187667773 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13040-025-00474-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Titles: – TitleFull: Improving classification on imbalanced genomic data via KDE–based synthetic sampling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Taccaliti, Edoardo – PersonEntity: Name: NameFull: Aguilar–Ruiz, Jesus S. IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 08 Text: 8/29/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 17560381 Numbering: – Type: volume Value: 18 – Type: issue Value: 1 Titles: – TitleFull: BioData Mining Type: main |
| ResultId | 1 |