Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/527426
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-11-24T06:29:27Z | - |
dc.date.available | 2023-11-24T06:29:27Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/527426 | - |
dc.description.abstract | newline | |
dc.format.extent | xiii, 140 p. | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Multimodal Explainability in Deep Neural Nets | |
dc.title.alternative | ||
dc.creator.researcher | Joshi, Gargi Balavant | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Explainable AI | |
dc.subject.keyword | Material Science | |
dc.subject.keyword | Materials Science Multidisciplinary | |
dc.subject.keyword | Multimodal AI | |
dc.subject.keyword | Multimodal data fusion | |
dc.subject.keyword | Multimodal Explainability | |
dc.subject.keyword | Vision and language modalities | |
dc.description.note | ||
dc.publisher.place | Pune | |
dc.publisher.university | Symbiosis International University | |
dc.publisher.institution | Faculty of Engineering | |
dc.date.registered | 2019 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 18.68 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 762.99 kB | Adobe PDF | View/Open | |
03_chapter 1..pdf | 774.66 kB | Adobe PDF | View/Open | |
04_chapter 2..pdf | 712.29 kB | Adobe PDF | View/Open | |
05_chapter 3..pdf | 780.07 kB | Adobe PDF | View/Open | |
06_chapter 4..pdf | 1.38 MB | Adobe PDF | View/Open | |
07_chapter 5..pdf | 1.13 MB | Adobe PDF | View/Open | |
08_chapter 6..pdf | 441.46 kB | Adobe PDF | View/Open | |
10_annexure..pdf | 1.81 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 476.9 kB | Adobe PDF | View/Open |
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