Institute

By E. Thomas. 2006

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Citations in the corpus

A Causal Bayesian Networks Viewpoint on Fairness (2018, background): “Machine learning is increasingly used in a wide range of decision-making scenarios that have serious implications for individuals and society, including financial lending [10,36], hiring [8,28], online advertising [27,41], pretrial and immigration detention [5,43], child maltreatment screening [14,4”
Risk of malignant progression in Barrett's esophagus patients: results from a large population-based study. (2011, background): “carcinoma have a poor prognosis, with fewer than 20% surviving for 5 years (3,4).”
Prevalence of human papillomavirus in oropharyngeal and nonoropharyngeal head and neck cancer—systematic review and meta‐analysis of trends by time and region (2013, background): “Whether a reduced viral load in non-OPC can be attributed to a higher rate of HPV DNA integration in these tumors compared with OPC is not clear,20,21 and clarification of this controversy is needed through a systematic analysis of the HPV physical state within OPC.”
Green Cellular Networks: A Survey, Some Research Issues and Challenges (2011, background): “…and hence in number of diverse energy ef ﬁ ciency metrics, standards organizations such as European Technical Standards Institute (ETSI) and Alliance for Telecommunications Industry Solutions (ATIS) are currently making efforts to de ﬁ ne energy ef ﬁ ciency metrics for wireless networks [10], [11].”
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice (2023, background): “…of participatory AI: for algorithmic performance improvements, process improvements, and collective exploration; the Ada Lovelace Institute [104] proposes a “spectrum of participation” to describe five levels of participatory mechanisms, from inform, consult, involve, collaborate, to…”
Constraint Logic Programming approach to protein structure prediction (2004, methodology): “This can be done by adding a constraint of the form: The constraint solver then exploits the solution's search using constraint propagation and branch-and-bound techniques returning the answer: The library clpfd of SlCStus Prolog [17] allows to effectively program in this framework.”
An introduction to implementation science for the non-specialist (2015, background): “As a result, US federal research funding organizations have recently developed an investment in implementation science [21, 22].”
Fairness in Machine Learning (2020, background): “Machine Learning (ML) is increasingly used in a wide range of decision-making scenarios that have serious implications for individuals and society, including financial lending [20, 120], hiring [17, 77], online advertising [72, 150], pretrial and immigration detention [10, 158], child maltreatment s”