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pro vyhledávání: '"Drouhard, Margaret"'
The temporal dynamics of quantitative metrics or key performance indicators (KPIs) are central to decision-making in enterprise organizations. Recently, major business intelligence providers have introduced new infrastructure for defining, sharing, a
Externí odkaz:
http://arxiv.org/abs/2406.03415
Deep learning models for natural language processing (NLP) are increasingly adopted and deployed by analysts without formal training in NLP or machine learning (ML). However, the documentation intended to convey the model's details and appropriate us
Externí odkaz:
http://arxiv.org/abs/2205.02894
The HCI community has worked to expand and improve our consideration of the societal implications of our work and our corresponding responsibilities. Despite this increased engagement, HCI continues to lack an explicitly articulated politic, which we
Externí odkaz:
http://arxiv.org/abs/1908.06167
Autor:
Tanweer, Anissa, Bolten, Nicholas, Drouhard, Margaret, Hamilton, Jess, Caspi, Anat, Fiore-Gartland, Brittany, Tan, Kaicheng
Ethics in the emerging world of data science are often discussed through cautionary tales about the dire consequences of missteps taken by high profile companies or organizations. We take a different approach by foregrounding the ways that ethics are
Externí odkaz:
http://arxiv.org/abs/1710.06882
Akademický článek
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Autor:
Drouhard, Margaret, Steed, Chad A., Hahn, Steven, Proffen, Thomas, Daniel, Jamison, Matheson, Michael
Publikováno v:
2015 IEEE International Conference on Big Data (Big Data); 2015, p2453-2461, 9p
Publikováno v:
2015 IEEE International Conference on Big Data (Big Data); 2015, p807-814, 8p
Publikováno v:
2014 IEEE Symposium on Foundations of Computational Intelligence (FOCI); 2014, p106-113, 8p