Zobrazeno 1 - 10
of 1 204
pro vyhledávání: '"Giddens P"'
Generative large language models (LLMs), which create text without direct correspondence to truth value, are widely understood to resemble the uses of language described in Frankfurt's popular monograph On Bullshit. In this paper, we offer a rigorous
Externí odkaz:
http://arxiv.org/abs/2411.15129
Autor:
Giddens, Spencer, Liu, Fang
As data-driven and AI-based decision making gains widespread adoption in most disciplines, it is crucial that both data privacy and decision fairness are appropriately addressed. While differential privacy (DP) provides a robust framework for guarant
Externí odkaz:
http://arxiv.org/abs/2411.09178
Unbiased representation learning is still an object of study under specific applications and contexts. Novel architectures are usually crafted to resolve particular problems using mixtures of fundamental pieces. This paper presents different image fe
Externí odkaz:
http://arxiv.org/abs/2409.06187
Autor:
Rivas, Pablo, Cerny, Tomas, Perez, Alejandro Rodriguez, Turek, Javier, Giddens, Laurie, Bichler, Gisela, Petter, Stacie
Our study addresses the challenges of building datasets to understand the risks associated with organized activities and human trafficking through commercial sex advertisements. These challenges include data scarcity, rapid obsolescence, and privacy
Externí odkaz:
http://arxiv.org/abs/2405.13348
Autor:
Giddens, Spencer, Liu, Fang
Differential privacy (DP) is the state-of-the-art framework for guaranteeing privacy for individuals when releasing aggregated statistics or building statistical/machine learning models from data. We develop the open-source R package DPpack that prov
Externí odkaz:
http://arxiv.org/abs/2309.10965
Autor:
Giddens, Spencer, Zhou, Yiwang, Krull, Kevin R., Brinkman, Tara M., Song, Peter X. K., Liu, Fang
It is common practice to use data containing personal information to build predictive models in the framework of empirical risk minimization (ERM). While these models can be highly accurate in prediction, sharing the results from these models trained
Externí odkaz:
http://arxiv.org/abs/2307.13127
Autor:
Andrew Craig-Jones, Daniel R. Greene, Haley L. Gilbert, Priya L. Giddens, Jonathan J. Ruiz-Ramie
Publikováno v:
Biomechanics, Vol 4, Iss 3, Pp 473-482 (2024)
The purpose of this study was to compare average rate of oxygen consumption (VO2), slow component of oxygen consumption (VO2 drift), heart rate (HR) and rating of perceived exertion (RPE) while wearing compression pants vs. a control garment during l
Externí odkaz:
https://doaj.org/article/07c6f10018cf4fbdbb0bd14aaec4800c
Autor:
Mojan Omidvar, Hangfeng Zhang, Achintha Avin Ihalage, Theo Graves Saunders, Henry Giddens, Michael Forrester, Sajad Haq, Yang Hao
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Accelerating perovskite solid solution discovery and sustainable synthesis is crucial for addressing challenges in wireless communication and biosensors. However, the vast array of chemical compositions and their dependence on factors such a
Externí odkaz:
https://doaj.org/article/1d657648e60748c6b43fe4bae02949e5
Autor:
Jessica D'Arcey, John Torous, Toni-Rose Asuncion, Leah Tackaberry-Giddens, Aqsa Zahid, Mira Ishak, George Foussias, Sean Kidd
Publikováno v:
JMIR Mental Health, Vol 11, p e57150 (2024)
BackgroundDigital mental health is a rapidly growing field with an increasing evidence base due to its potential scalability and impacts on access to mental health care. Further, within underfunded service systems, leveraging personal technologies to
Externí odkaz:
https://doaj.org/article/ae2c85343b7f4f08a741215d9243474f
Autor:
Zachary M. Force, MA, Ratika Parkash, MD, MS, FRCPC, Anthony Tang, MD, FRCPC, Shannon E. Kelly, PhD, George Wells, MSc, PhD, Evan Lockwood, MD, FRCPC, Amir AdelWahab, MBBCh, MSc, MD, Isabelle Nault, MD, FRCPC, Jeff Healey, MD, MSc, FRCPC, Karen A. Giddens, RDMS, RDCS, Karl L. Wuensch, PhD, Samuel F. Sears, PhD
Publikováno v:
CJC Open, Vol 5, Iss 9, Pp 704-708 (2023)
Scale measuring the construct of “health security in chronic illness” (HSCI) was piloted in Canadian cardiac device patients (N = 176) enrolled in a remote-monitoring study at 2 timepoints. Analysis revealed a 2-factor solution, labeled as “sup
Externí odkaz:
https://doaj.org/article/e16b6a15cd13467195e2d108eea6998f