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

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

journal contribution

posted on 2023-06-07, 05:50 authored by HM Dipu Kabir, Moloud 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.

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

Publication classification

C1 Refereed article in a scholarly journal

Issue

2

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication URL

http://dx.doi.org/10.1109/msmc.2022.3218423

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

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