Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Bullock, Joseph"'
Autor:
de Rubalcava, Arturo de Nieves Gutierrez, Piñeiro, Oscar Sanchez, Jiménez, Rebeca Moreno, Aylett-Bullock, Joseph, Ismail, Azra, Kyriazi, Sofia, Schneider, Catherine, Sekidde, Fred, del Panta, Giulia, Huang, Chao, Maigné, Vanessa, Luengo-Oroz, Miguel, Pham, Katherine Hoffmann
Publikováno v:
Proceedings of the 3rd KDD Workshop on Data-driven Humanitarian Mapping, 2022, Washington, DC USA
Humanitarian agencies must be prepared to mobilize quickly in response to complex emergencies, and their effectiveness depends on their ability to identify, anticipate, and prepare for future needs. These are typically highly uncertain situations in
Externí odkaz:
http://arxiv.org/abs/2303.15614
Autor:
Walker, Joseph, Aylett-Bullock, Joseph, Shi, Difu, Maina, Allen Gidraf Kahindo, Evers, Egmond Samir, Harlass, Sandra, Krauss, Frank
Contact matrices are an important ingredient in age-structured epidemic models to inform the simulated spread of the disease between sub-groups of the population. These matrices are generally derived using resource-intensive diary-based surveys and f
Externí odkaz:
http://arxiv.org/abs/2212.01334
Publikováno v:
Proceedings of the 3rd KDD Workshop on Data-driven Humanitarian Mapping, 2022, Washington, DC USA
AI is being increasingly used to aid response efforts to humanitarian emergencies at multiple levels of decision-making. Such AI systems are generally understood to be stand-alone tools for decision support, with ethical assessments, guidelines and f
Externí odkaz:
http://arxiv.org/abs/2208.11282
Autor:
Luccioni, Alexandra Sasha, Pham, Katherine Hoffmann, Lam, Cynthia Sin Nga, Aylett-Bullock, Joseph, Luengo-Oroz, Miguel
Natural language processing (NLP) plays a significant role in tools for the COVID-19 pandemic response, from detecting misinformation on social media to helping to provide accurate clinical information or summarizing scientific research. However, the
Externí odkaz:
http://arxiv.org/abs/2108.10791
Autor:
Bullock, Joseph Edward
Mental health and substance abuse treatment systems have a history of incompatible philosophies and conflicts that have been associated with poor treatment outcomes for persons dually diagnosed. The purpose of this study was to determine whether or n
Externí odkaz:
http://hdl.handle.net/10919/26713
http://scholar.lib.vt.edu/theses/available/etd-04092002-204650/
http://scholar.lib.vt.edu/theses/available/etd-04092002-204650/
Machine learning technology has the potential to dramatically optimise event generation and simulations. We continue to investigate the use of neural networks to approximate matrix elements for high-multiplicity scattering processes. We focus on the
Externí odkaz:
http://arxiv.org/abs/2106.09474
Autor:
Luccioni, Alexandra, Bullock, Joseph, Pham, Katherine Hoffmann, Lam, Cynthia Sin Nga, Luengo-Oroz, Miguel
Publikováno v:
Harvard CRCS Workshop on AI for Social Good, United States, 2020
The COVID-19 pandemic has been a major challenge to humanity, with 12.7 million confirmed cases as of July 13th, 2020 [1]. In previous work, we described how Artificial Intelligence can be used to tackle the pandemic with applications at the molecula
Externí odkaz:
http://arxiv.org/abs/2008.09043
Autor:
Bullock, Joseph, Luccioni, Alexandra, Pham, Katherine Hoffmann, Lam, Cynthia Sin Nga, Luengo-Oroz, Miguel
Publikováno v:
Journal of Artificial Intelligence Research 69 (2020) 807-845
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, which has reported over 18 million confirmed cases as of August 5, 2020. In this review, we present an overview of recent studies usi
Externí odkaz:
http://arxiv.org/abs/2003.11336
Autor:
Badger, Simon, Bullock, Joseph
Precision theoretical predictions for high multiplicity scattering rely on the evaluation of increasingly complicated scattering amplitudes which come with an extremely high CPU cost. For state-of-the-art processes this can cause technical bottleneck
Externí odkaz:
http://arxiv.org/abs/2002.07516
Autor:
Logar, Tomaz, Bullock, Joseph, Nemni, Edoardo, Bromley, Lars, Quinn, John A., Luengo-Oroz, Miguel
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence, New York, United States, 2020
Humanitarian response to natural disasters and conflicts can be assisted by satellite image analysis. In a humanitarian context, very specific satellite image analysis tasks must be done accurately and in a timely manner to provide operational suppor
Externí odkaz:
http://arxiv.org/abs/2001.10685