Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/537027
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-01-03T11:44:02Z-
dc.date.available2024-01-03T11:44:02Z-
dc.identifier.urihttp://hdl.handle.net/10603/537027-
dc.description.abstractnewline
dc.format.extent136 p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleExplainable Artificial Intelligence Techniques for Analyzing Complex Diseases using Genomic Data
dc.title.alternative
dc.creator.researcherBhandari, Nikita
dc.subject.keywordComputational Biology
dc.subject.keywordDeep Learning
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Multidisciplinary
dc.subject.keywordExplainable Artificial Intelligence
dc.subject.keywordFrequency-based Tokenization
dc.subject.keywordMachine Learning
dc.subject.keywordSHAP
dc.description.note
dc.contributor.guideKotecha, Ketan and Walambe, Rahee
dc.publisher.placePune
dc.publisher.universitySymbiosis International University
dc.publisher.institutionFaculty of Engineering
dc.date.registered2018
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File41.95 kBAdobe PDFView/Open
02_prelim pages.pdf590.18 kBAdobe PDFView/Open
03_chapter 1..pdf305.04 kBAdobe PDFView/Open
04_chapter 2..pdf292.68 kBAdobe PDFView/Open
05_chapter 3..pdf735.55 kBAdobe PDFView/Open
06_chapter 4..pdf1.14 MBAdobe PDFView/Open
07_chapter 5..pdf601.12 kBAdobe PDFView/Open
08_chapter 6..pdf41.6 kBAdobe PDFView/Open
10_annexure.pdf2.33 MBAdobe PDFView/Open
80_recommendation.pdf114.79 kBAdobe PDFView/Open


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