Zobrazeno 1 - 10
of 2 284
pro vyhledávání: '"Diemert A"'
CONTEXT: Assurance Cases (ACs) are prepared to argue that the system's desired quality attributes (e.g., safety or security) are satisfied. While there is strong adoption of ACs, practitioners are often left asking an important question: are we confi
Externí odkaz:
http://arxiv.org/abs/2411.03657
We introduce a fairness-aware dataset for job recommendations in advertising, designed to foster research in algorithmic fairness within real-world scenarios. It was collected and prepared to comply with privacy standards and business confidentiality
Externí odkaz:
http://arxiv.org/abs/2407.03059
Autor:
Holland M. Vasquez, Emilie Pianarosa, Renee Sirbu, Lori M. Diemert, Heather Cunningham, Vinyas Harish, Birsen Donmez, Laura C. Rosella
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background While Human Factors (HF) methods have been applied to the design of decision support systems (DSS) to aid clinical decision-making, the role of HF to improve decision-support for population health outcomes is less understood. We s
Externí odkaz:
https://doaj.org/article/b59bb79d246e41b4b7f8dbfb06b0e4f5
Autor:
Diemert, Simon, Weber, Jens H.
Self-adaptive systems are able to change their behaviour at run-time in response to changes. Self-adaptation is an important strategy for managing uncertainty that is present during the design of modern systems, such as autonomous vehicles. However,
Externí odkaz:
http://arxiv.org/abs/2304.00408
Autor:
Diemert, Simon, Weber, Jens H
Large Language Models (LLMs), such as GPT-3, have demonstrated remarkable natural language processing and generation capabilities and have been applied to a variety tasks, such as source code generation. This paper explores the potential of integrati
Externí odkaz:
http://arxiv.org/abs/2303.15473
Publikováno v:
Population Health Metrics, Vol 22, Iss 1, Pp 1-13 (2024)
Abstract Objective To compare how different imputation methods affect the estimates and performance of a prediction model for premature mortality. Study Design and Setting Sex-specific Weibull accelerated failure time survival models were run on four
Externí odkaz:
https://doaj.org/article/cc2d9200c8b048c4ab83dbcbfffa0925
Counterfactual Risk Minimization (CRM) is a framework for dealing with the logged bandit feedback problem, where the goal is to improve a logging policy using offline data. In this paper, we explore the case where it is possible to deploy learned pol
Externí odkaz:
http://arxiv.org/abs/2302.12120
Autor:
Laura C Rosella, Lori Diemert, Meghan O'Neill, Kathy Kornas, Stacey Fisher, Doug Manuel, Mackenzie Hurst, Lief Pagalan, Andy Hong
Publikováno v:
BMJ Public Health, Vol 2, Iss 2 (2024)
Introduction To develop and validate the Premature Mortality Population Risk Tool (PreMPoRT), a population-based risk algorithm that predicts the 5-year incidence of premature mortality among the Canadian adult population.Methods Retrospective cohort
Externí odkaz:
https://doaj.org/article/c22fd09ce91a43a18029c8dd223c669a
Autor:
Diemert, Simon, Weber, Jens H.
Modern systems are designed to operate in increasingly variable and uncertain environments. Not only are these environments complex, in the sense that they contain a tremendous number of variables, but they also change over time. Systems must be able
Externí odkaz:
http://arxiv.org/abs/2210.00095
Autor:
Allan C. deCamp, Martin M. Corcoran, William J. Fulp, Jordan R. Willis, Christopher A. Cottrell, Daniel L. V. Bader, Oleksandr Kalyuzhniy, David J. Leggat, Kristen W. Cohen, Ollivier Hyrien, Sergey Menis, Greg Finak, Lamar Ballweber-Fleming, Abhinaya Srikanth, Jason R. Plyler, Farhad Rahaman, Angela Lombardo, Vincent Philiponis, Rachael E. Whaley, Aaron Seese, Joshua Brand, Alexis M. Ruppel, Wesley Hoyland, Celia R. Mahoney, Alberto Cagigi, Alison Taylor, David M. Brown, David R. Ambrozak, Troy Sincomb, Tina-Marie Mullen, Janine Maenza, Orpheus Kolokythas, Nadia Khati, Jeffrey Bethony, Mario Roederer, David Diemert, Richard A. Koup, Dagna S. Laufer, Juliana M. McElrath, Adrian B. McDermott, Gunilla B. Karlsson Hedestam, William R. Schief
Publikováno v:
npj Vaccines, Vol 9, Iss 1, Pp 1-13 (2024)
Abstract Vaccine priming immunogens that activate germline precursors for broadly neutralizing antibodies (bnAbs) have promise for development of precision vaccines against major human pathogens. In a clinical trial of the eOD-GT8 60mer germline-targ
Externí odkaz:
https://doaj.org/article/2e580eabca0b4c0f8e97acb243086a89