Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Walker, Megan"'
Autor:
Cosentino, Justin, Belyaeva, Anastasiya, Liu, Xin, Furlotte, Nicholas A., Yang, Zhun, Lee, Chace, Schenck, Erik, Patel, Yojan, Cui, Jian, Schneider, Logan Douglas, Bryant, Robby, Gomes, Ryan G., Jiang, Allen, Lee, Roy, Liu, Yun, Perez, Javier, Rogers, Jameson K., Speed, Cathy, Tailor, Shyam, Walker, Megan, Yu, Jeffrey, Althoff, Tim, Heneghan, Conor, Hernandez, John, Malhotra, Mark, Stern, Leor, Matias, Yossi, Corrado, Greg S., Patel, Shwetak, Shetty, Shravya, Zhan, Jiening, Prabhakara, Shruthi, McDuff, Daniel, McLean, Cory Y.
In health, most large language model (LLM) research has focused on clinical tasks. However, mobile and wearable devices, which are rarely integrated into such tasks, provide rich, longitudinal data for personal health monitoring. Here we present Pers
Externí odkaz:
http://arxiv.org/abs/2406.06474
Autor:
Walker, Megan, Li, Yichao, Morales-Hernandez, Antonio, Qi, Qian, Parupalli, Chaithanyarani, Brown, Scott, Christian, Claiborne, Clements, Wilson K., Cheng, Yong, McKinney-Freeman, Shannon
Publikováno v:
In Blood Advances 12 September 2023 7(17):4677-4689
Akademický článek
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Autor:
Marshall, Aaron A., Brand, Brittany D., Martínez, Valeria, Bowers, Jade M., Walker, Megan, Wanless, V. Dorsey, Andrews, Benjamin J., Manga, Michael, Valdivia, Pedro, Giordano, Guido
Publikováno v:
In Journal of Volcanology and Geothermal Research January 2022 421
Autor:
Walker, Megan Anna Hein
This MFA thesis uses the medium of computer language to explore the chaos underlying Bipolar I Disorder, an enigmatic and disruptive illness. Using creative coding to generate a series of abstract systems representing human traits, I explore the comm
Externí odkaz:
http://hdl.handle.net/10919/23805
Autor:
Muir, Alexandra M., Eberhard, Addison C., Walker, Megan S., Bennion, Angus, South, Mikle, Larson, Michael J. *
Publikováno v:
In Biological Psychology July 2021 163
Autor:
Searle, Richard, Bingham-Walker, Megan
Accurate representational learning of both the explicit and implicit relationships within data is critical to the ability of machines to perform more complex and abstract reasoning tasks. We describe the efficient weakly supervised learning of such i
Externí odkaz:
http://arxiv.org/abs/1511.06379
Autor:
Walker, Megan Anne.
This thesis addresses the fundamental problem of whether and how the church's tradition can be understood as revelatory given its patriarchal nature and its implication in relations of power. It is therefore concerned with how feminist Catholics are
Externí odkaz:
http://hdl.handle.net/10413/5744
Publikováno v:
In International Journal of Fatigue November 2018 116:344-354