Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Katie Jensen"'
Publikováno v:
IEEE BigData
In eDiscovery, it is critical to ensure that each page produced in legal proceedings conforms with the requirements of court or government agency production requests. Errors in productions could have severe consequences in a case, putting a party in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c41102ffa4dbd75ed1da2cf01b71aba
https://doi.org/10.1109/bigdata50022.2020.9378313
https://doi.org/10.1109/bigdata50022.2020.9378313
Autor:
Nathaniel Huber-Fliflet, Haozhen Zhao, Katie Jensen, Christian J. Mahoney, Shi Ye, Robert Neary
Publikováno v:
IEEE BigData
Training documents have a significant impact on the performance of predictive models in the legal domain. Yet, there is limited research that explores the effectiveness of the training document selection strategy - in particular, the strategy used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb81cc3b1991ea2f2f1e913e6351ddcb
https://doi.org/10.1109/bigdata.2018.8622075
https://doi.org/10.1109/bigdata.2018.8622075
Publikováno v:
The Holocene. 17:907-915
We describe five common charcoal morphotypes observed in late-Holocene lake sediments from northern Wisconsin and compare them with charcoal produced by burning modern plant material. Our experiments show that grass cuticle, conifer wood and leaves o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4fb61a038ae6f87181d831ad8842aef
https://doi.org/10.1177/0959683607082405
https://doi.org/10.1177/0959683607082405