Election forensics: Using machine learning and synthetic data for possible election anomaly detection
Tags
Data and Resources
To access the resources you must log in
This item has no data
Item URL
http://data.d4science.org/ctlg/RISIS2OpenData/dedup_wf_001--998704346cb52f999f8e45b3c804e3a8 |
|
Identity
Access Modality
Field | Value |
---|---|
Access Right | Open Access |
Attribution
Field | Value |
---|---|
Author | Zhang, Mali |
Author | Alvarez, R. Michael, 0000-0002-8113-4451 |
Author | Levin, Ines |
Contributor | Ribeiro, Haroldo V. |
Publishing
Field | Value |
---|---|
Collected From | PubMed Central; Caltech Authors; Datacite; figshare; UnpayWall; DOAJ-Articles; Crossref; Microsoft Academic Graph |
Hosted By | Europe PubMed Central; Caltech Authors; PLoS ONE; figshare |
Publication Date | 2019-10-31 |
Publisher | Public Library of Science (PLoS) |
Additional Info
Field | Value |
---|---|
Country | United States |
Format | application/pdf |
Language | UNKNOWN |
Resource Type | Other literature type; Article |
keyword | Q |
keyword | R |
keyword | keywords.General Biochemistry, Genetics and Molecular Biology |
system:type | publication |
Management Info
Field | Value |
---|---|
Source | https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::998704346cb52f999f8e45b3c804e3a8 |
Author | jsonws_user |
Last Updated | 26 December 2020, 13:49 (CET) |
Created | 26 December 2020, 13:49 (CET) |