Zobrazeno 1 - 10
of 37
pro vyhledávání: '"R. Stuart Geiger"'
Autor:
R. Stuart Geiger, Dominique Cope, Jamie Ip, Marsha Lotosh, Aayush Shah, Jenny Weng, Rebekah Tang
Publikováno v:
Quantitative Science Studies, Vol 2, Iss 3, Pp 795-827 (2021)
AbstractSupervised machine learning, in which models are automatically derived from labeled training data, is only as good as the quality of that data. This study builds on prior work that investigated to what extent “best practices” around label
Externí odkaz:
https://doaj.org/article/92f8f8715225434cba7c2b7799682b38
Autor:
Daniel S. Katz, Kyle E. Niemeyer, Sandra Gesing, Lorraine Hwang, Wolfgang Bangerth, Simon Hettrick, Ray Idaszak, Jean Salac, Neil Chue Hong, Santiago Núñez-Corrales, Alice Allen, R. Stuart Geiger, Jonah Miller, Emily Chen, Anshu Dubey, Patricia Lago
Publikováno v:
Journal of Open Research Software, Vol 6, Iss 1 (2018)
This article summarizes motivations, organization, and activities of the Fourth Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE4). The WSSSPE series promotes sustainable research software by positively impacting princip
Externí odkaz:
https://doaj.org/article/9f543162c4114ba986d91e1dd1a287d3
Autor:
R Stuart Geiger
Publikováno v:
Big Data & Society, Vol 4 (2017)
Scholars and practitioners across domains are increasingly concerned with algorithmic transparency and opacity, interrogating the values and assumptions embedded in automated, black-boxed systems, particularly in user-generated content platforms. I r
Externí odkaz:
https://doaj.org/article/0a8b36a494bb4f51b71b9287bbc54994
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 5:1-28
Free and/or open-source software (or F/OSS) projects now play a major and dominant role in society, constituting critical digital infrastructure relied upon by companies, academics, non-profits, activists, and more. As F/OSS has become larger and mor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b032a95667c4cd960a895125c8ac7d6
https://doi.org/10.1145/3449249
https://doi.org/10.1145/3449249
Publikováno v:
Cognitive Science. 46
Free and open-source software projects have become essential digital infrastructure over the past decade. These projects are largely created and maintained by unpaid volunteers, presenting a potential vulnerability if the projects cannot recruit and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::224b4722be87976422a86aeade50badf
https://doi.org/10.1111/cogs.13134
https://doi.org/10.1111/cogs.13134
Autor:
R. Stuart Geiger, Aaron Halfaker
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 4:1-37
Algorithmic systems---from rule-based bots to machine learning classifiers---have a long history of supporting the essential work of content moderation and other curation work in peer production projects. From counter-vandalism to task routing, basic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee27ceb02892ef63db5f481163979ec4
https://doi.org/10.1145/3415219
https://doi.org/10.1145/3415219
Autor:
Jamie Ip, Aayush Shah, Marsha Lotosh, Jenny Weng, R. Stuart Geiger, Rebekah Tang, Dominique Cope
Supervised machine learning, in which models are automatically derived from labeled training data, is only as good as the quality of that data. This study builds on prior work that investigated to what extent “best practices” around labeling trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ad186db2e10250387b42ad9bc332185
Publikováno v:
FAT*
Many machine learning projects for new application areas involve teams of humans who label data for a particular purpose, from hiring crowdworkers to the paper's authors labeling the data themselves. Such a task is quite similar to (or a form of) str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40610c3dfd163348b3d44e7ff82a9ce9
https://doi.org/10.1145/3351095.3372862
https://doi.org/10.1145/3351095.3372862
Autor:
Aaron Halfaker, R. Stuart Geiger
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 1:1-33
This paper replicates, extends, and refutes conclusions made in a study published in PLoS ONE ("Even Good Bots Fight"), which claimed to identify substantial levels of conflict between automated software agents (or bots) in Wikipedia using purely qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f6c982636c815b24542f2f8cf224adc
https://doi.org/10.1145/3134684
https://doi.org/10.1145/3134684