HEFS-MLDR: A novel hybrid ensemble feature selection framework for improved deep neural network architecture in the diagnosis of Parkinson's disease.
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| Title: | HEFS-MLDR: A novel hybrid ensemble feature selection framework for improved deep neural network architecture in the diagnosis of Parkinson's disease. |
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| Authors: | Ouhmida, Asmae1, asmaeouhmida1995@gmail.com, Saleh, Shawki1, Ammar, Abderazzak1, Raihani, Abdelhadi1, Cherradi, Bouchaib1,2 |
| Source: | Multimedia Tools & Applications; Sep2025, Vol. 84 Issue 30, p36597-36622, 26p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 187974095 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=187974095 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-024-20276-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 36597 Titles: – TitleFull: HEFS-MLDR: A novel hybrid ensemble feature selection framework for improved deep neural network architecture in the diagnosis of Parkinson's disease. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ouhmida, Asmae – PersonEntity: Name: NameFull: Saleh, Shawki – PersonEntity: Name: NameFull: Ammar, Abderazzak – PersonEntity: Name: NameFull: Raihani, Abdelhadi – PersonEntity: Name: NameFull: Cherradi, Bouchaib IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 84 – Type: issue Value: 30 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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