Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Travis Greene"'
Publikováno v:
Journal of the Royal Statistical Society Series A: Statistics in Society. 185:S692-S723
Big data and algorithmic risk prediction tools promise to improve criminal justice systems by reducing human biases and inconsistencies in decision-making. Yet different, equally justifiable choices when developing, testing and deploying these socio-
Publikováno v:
ACM Transactions on Computer-Human Interaction. 29:1-37
HCI researchers increasingly involve plants in their interaction design research, such as using plants as novel interfaces or sensors. While research involving other living entities, namely humans and animals is regulated, there exists no guidance fo
Autor:
Travis Zipperer, Travis Greene
Publikováno v:
2023 Annual NCSP Technical Program Review, FY22 Analytical Methods (AM) Technical Presentations, Albuquerque, NM (United States), 21-23 Feb 2023.
Publikováno v:
Nature Machine Intelligence. 4:323-330
Publikováno v:
ACS Symposium Series ISBN: 9780841297432
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4f0d12dfd0ced166e3bdd2f3dfa5632
https://doi.org/10.1021/bk-2022-1428.ch010
https://doi.org/10.1021/bk-2022-1428.ch010
Publikováno v:
Nuclear Data Week(s) 2022, CSEWG Meeting, Upton, Long Island, NY (United States), 31 Oct - Nov 11 2022.
Autor:
William Marshall, Travis Greene
Publikováno v:
2022 ANS Annual Meeting, Nuclear Criticality Safety Division Topical Meeting (NCSD 2022), Anaheim, CA (United States), 12-16 Jun 2022.
Publikováno v:
2022 ANS Annual Meeting, Nuclear Criticality Safety Division Topical Meeting (NCSD 2022), Anaheim, CA (United States), 12-16 Jun 2022.
Autor:
William Marshall, Mathieu Dupont, Travis Greene, Alex Lang, Alex Shaw, Justin Clarity, Ellen Saylor
Publikováno v:
2022 ANS Annual Meeting, Nuclear Criticality Safety Division Topical Meeting (NCSD 2022), Anaheim, CA (United States), 12-16 Jun 2022.
Publikováno v:
Nature Machine Intelligence
The era of behavioural big data has created new avenues for data science research, with many new contributions stemming from academic researchers. Yet data controlled by platforms have become increasingly difficult for academics to access. Platforms