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pro vyhledávání: '"Allen, Joshua"'
Differentially private (DP) synthetic data is a promising approach to maximizing the utility of data containing sensitive information. Due to the suppression of underrepresented classes that is often required to achieve privacy, however, it may be in
Externí odkaz:
http://arxiv.org/abs/2205.04321
Differentially private (DP) synthetic data generation is a practical method for improving access to data as a means to encourage productive partnerships. One issue inherent to DP is that the "privacy budget" is generally "spent" evenly across feature
Externí odkaz:
http://arxiv.org/abs/2204.12903
Autor:
Allen, Joshua E1,2 (AUTHOR), Krigsfeld, Gabriel1 (AUTHOR), Patel, Luv1 (AUTHOR), Mayes, Patrick A1 (AUTHOR), Dicker, David T1,3 (AUTHOR), Wu, Gen Sheng4 (AUTHOR), El-Deiry, Wafik S1,3 (AUTHOR) wafik.eldeiry@fccc.edu
Publikováno v:
Molecular Cancer. 10/18/2024, Vol. 23 Issue 1, p1-3. 3p.
Autor:
Yang, Sen, Allen, Joshua A., Hong, Chuchuan, Arnold, Kellen P., Weiss, Sharon M., Ndukaife, Justus C.
Photonic crystal cavities with bowtie defects that combine ultra-high Q and ultra-low mode volume are theoretically studied for low-power nanoscale optical trapping. By harnessing the localized heating of the water layer near the bowtie region, combi
Externí odkaz:
http://arxiv.org/abs/2109.14168
Autor:
Pereira, Mayana, Kim, Allen, Allen, Joshua, White, Kevin, Ferres, Juan Lavista, Dodhia, Rahul
Broadband connectivity is a key metric in today's economy. In an era of rapid expansion of the digital economy, it directly impacts GDP. Furthermore, with the COVID-19 guidelines of social distancing, internet connectivity became necessary to everyda
Externí odkaz:
http://arxiv.org/abs/2103.14035
Autor:
Rosenblatt, Lucas, Liu, Xiaoyan, Pouyanfar, Samira, de Leon, Eduardo, Desai, Anuj, Allen, Joshua
Machine learning practitioners frequently seek to leverage the most informative available data, without violating the data owner's privacy, when building predictive models. Differentially private data synthesis protects personal details from exposure
Externí odkaz:
http://arxiv.org/abs/2011.05537
Publikováno v:
2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI) (pp. 90-96)
Computation of Mutual Information (MI) helps understand the amount of information shared between a pair of random variables. Automated feature selection techniques based on MI ranking are regularly used to extract information from sensitive datasets
Externí odkaz:
http://arxiv.org/abs/2009.10861
Autor:
Vany Mol K.S., Eslavath Rajkumar, R. Lakshmi, Romate John, Saniya M. Sunny, Allen Joshua George, Shivanand Pawar, John Abraham
Publikováno v:
Cogent Education, Vol 10, Iss 1 (2023)
AbstractAcademic procrastination is one of the main problems students encounter during studying. It affects their mental health, academic performance, and even everyday activities. A lack of time management was once thought to be the cause of procras
Externí odkaz:
https://doaj.org/article/9ba688c5639f46be84f0d4e4bcb7d439
Publikováno v:
Cogent Psychology, Vol 10, Iss 1 (2023)
AbstractBoth hedonia and eudaimonia contribute to well-being, but existing literature on alcohol-dependence concentrates on hedonic needs alone, leaving a research gap on the role of eudaimonia in alcohol-dependence. Theoretically, mindfulness promot
Externí odkaz:
https://doaj.org/article/05c037b3b1f04fcfabd7a4e8a85b41c7
Autor:
Eslavath Rajkumar, Aswathy Gopi, Aditi Joshi, Aleena Elizabeth Thomas, N. M. Arunima, Gosetty Sri Ramya, Prachi Kulkarni, P. Rahul, Allen Joshua George, John Romate, John Abraham
Publikováno v:
BMC Health Services Research, Vol 23, Iss 1, Pp 1-15 (2023)
Abstract Background India, the seventh-largest country in the world and the second-most populated faces enormous challenges when it comes to healthcare. The country’s healthcare system was close to collapse due to the detrimental effects of the COV
Externí odkaz:
https://doaj.org/article/849233fb12ac46d19e39b366b2ff5d93