Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Pham, Katherine"'
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
The sea crossing from Libya to Italy is one of the world's most dangerous and politically contentious migration routes, and yet over half a million people have attempted the crossing since 2014. Leveraging data on aggregate migration flows and indivi
Externí odkaz:
http://arxiv.org/abs/2207.04480
Autor:
Li, Xin, Pham, Katherine, Ysaguirre, Jazmin, Mahmud, Iqbal, Tan, Lin, Wei, Bo, Shao, Long J., Elizondo, Maryam, Habib, Rabie, Elizondo, Fathima, Sesaki, Hiromi, Lorenzi, Philip L., Sun, Kai
Publikováno v:
In Journal of Lipid Research September 2024 65(9)
Predicting forced displacement is an important undertaking of many humanitarian aid agencies, which must anticipate flows in advance in order to provide vulnerable refugees and Internally Displaced Persons (IDPs) with shelter, food, and medical care.
Externí odkaz:
http://arxiv.org/abs/2201.08006
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:
Hoffmann Pham, Katherine1 (AUTHOR) khof@nyu.edu, Komiyama, Junpei1 (AUTHOR)
Publikováno v:
PLoS ONE. 4/19/2024, Vol. 19 Issue 4, p1-32. 32p.
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
In addition to moving people and goods, ships can spread disease. Ship traffic may complement air traffic as a source of import risk, and cruise ships - with large passenger volumes and multiple stops - are potential hotspots, in particular for disea
Externí odkaz:
http://arxiv.org/abs/2003.02253
Digital platforms such as Facebook, Twitter, Wikipedia, and Amazon Mechanical Turk have transformed the study of human behavior and provided access to new subject pools for academic research. In our study, we leverage the Facebook Advertising Platfor
Externí odkaz:
http://arxiv.org/abs/1910.03448