Synthetic Datasets for Numeric Uncertainty Quantification: Proposing Datasets for Future Researchers

Kabir, HM Dipu; Abdar, Moloud; Khosravi, Abbas; Nahavandi, Darius; Mondal, Subrota Kumar; Khanam, Sadia; Mohamed, Shady; Srinivasan, Dipti; Nahavandi, Saeid; Suganthan, Ponnuthurai Nagaratnam

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Synthetic Datasets for Numeric Uncertainty Quantification: Proposing Datasets for Future Researchers

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posted on 2023-06-07, 05:50 authored by HM Dipu Kabir, Moloud AbdarMoloud Abdar, Abbas KhosraviAbbas Khosravi, Darius Nahavandi, Subrota Kumar Mondal, Sadia Khanam, Shady MohamedShady Mohamed, Dipti Srinivasan, Saeid Nahavandi, Ponnuthurai Nagaratnam Suganthan

Synthetic Datasets for Numeric Uncertainty Quantification: Proposing Datasets for Future Researchers

History

Journal

IEEE Systems, Man, and Cybernetics Magazine

Volume

9

Pagination

39-48

Location

Piscataway, N.J.

Publisher DOI

https://doi.org/10.1109/msmc.2022.3218423

ISSN

2380-1298

eISSN

2333-942X

Language

English

Author URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000975186000006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Issue

2

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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Synthetic Datasets for Numeric Uncertainty Quantification: Proposing Datasets for Future Researchers

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