A novel and fully automated platform for synthetic tabular data generation and validation
Publication
, Journal Article
Rashidi, HH; Albahra, S; Rubin, BP; Hu, B
Published in: Scientific Reports
October 7, 2024
Duke Scholars
Published In
Scientific Reports
DOI
EISSN
2045-2322
Publication Date
October 7, 2024
Volume
14
Issue
1
Publisher
Springer Science and Business Media LLC
Citation
APA
Chicago
ICMJE
MLA
NLM
Rashidi, H. H., Albahra, S., Rubin, B. P., & Hu, B. (2024). A novel and fully automated platform for synthetic tabular data generation and validation. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-73608-0
Rashidi, Hooman H., Samer Albahra, Brian P. Rubin, and Bo Hu. “A novel and fully automated platform for synthetic tabular data generation and validation.” Scientific Reports 14, no. 1 (October 7, 2024). https://doi.org/10.1038/s41598-024-73608-0.
Rashidi HH, Albahra S, Rubin BP, Hu B. A novel and fully automated platform for synthetic tabular data generation and validation. Scientific Reports. 2024 Oct 7;14(1).
Rashidi, Hooman H., et al. “A novel and fully automated platform for synthetic tabular data generation and validation.” Scientific Reports, vol. 14, no. 1, Springer Science and Business Media LLC, Oct. 2024. Crossref, doi:10.1038/s41598-024-73608-0.
Rashidi HH, Albahra S, Rubin BP, Hu B. A novel and fully automated platform for synthetic tabular data generation and validation. Scientific Reports. Springer Science and Business Media LLC; 2024 Oct 7;14(1).
Published In
Scientific Reports
DOI
EISSN
2045-2322
Publication Date
October 7, 2024
Volume
14
Issue
1
Publisher
Springer Science and Business Media LLC