Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bielskas, Matthew"'
Adversarial Machine Learning has emerged as a substantial subfield of Computer Science due to a lack of robustness in the models we train along with crowdsourcing practices that enable attackers to tamper with data. In the last two years, interest ha
Externí odkaz:
http://arxiv.org/abs/2102.06800
Game theory provides a paradigm through which we can study the evolving communication and phenomena that occur via rational agent interaction. In this work, we design a model framework and explore The Volunteer's Dilemma with the goals of 1) modeling
Externí odkaz:
http://arxiv.org/abs/2008.12846
Modeling Pathogen Transmission in Heterogeneous Networks: Spectral Characterization and Applications
Autor:
Cui, Jiaming, Cho, Sungjun, Kamruzzaman, Methun, Bielskas, Matthew, Vullikanti, Anil, Prakash, B. Aditya
Healthcare-associated infections (HAIs) are a major problem in hospital infection control. Although HAIs can be suppressed using contact precautions, such precautions are expensive, and we can only apply them to a small fraction of patients (i.e., a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::703fefec8fb1c54aef50ad66ad6c5c9a
Autor:
Cui, Jiaming, Cho, Sungjun, Kamruzzaman, Methun, Bielskas, Matthew, Vullikanti, Anil, Prakash, B. Aditya
Publikováno v:
Scientific Reports; 9/27/2023, Vol. 13 Issue 1, p1-12, 12p
Autor:
Kamruzzaman M; University of Virginia, Charlottesville, VA, United States., Heavey J; University of Virginia, Charlottesville, VA, United States., Song A; University of Virginia, Charlottesville, VA, United States., Bielskas M; University of Virginia, Charlottesville, VA, United States., Bhattacharya P; University of Virginia, Charlottesville, VA, United States., Madden G; Division of Infectious Diseases & International Health, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, United States., Klein E; Department of Emergency Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States.; Center for Disease Dynamics, Economics and Policy, Washington, DC, DC, United States., Deng X; Department of Statistics, Virginia Tech, Blacksburg, VA, United States., Vullikanti A; University of Virginia, Charlottesville, VA, United States.; Department of Computer Science, University of Virginia, Charlottesville, VA, United States.
Publikováno v:
JMIR AI [JMIR AI] 2024 May 16; Vol. 3, pp. e48067. Date of Electronic Publication: 2024 May 16.
Autor:
Haque ASMA; Biocomplexity Institute, University of Virginia.; Dept of Computer Science, University of Virginia., Thakur M; Biocomplexity Institute, University of Virginia., Bielskas M; Dept of Computer Science, University of Virginia., Marathe A; Biocomplexity Institute, University of Virginia.; Department of Public Health Sciences, University of Virginia., Vullikanti A; Biocomplexity Institute, University of Virginia.; Dept of Computer Science, University of Virginia.
Publikováno v:
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence [Proc AAAI Conf Artif Intell] 2021 May 18; Vol. 35 (6), pp. 4812-4820.