Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Alshaabi, Thayer"'
Autor:
Fudolig, Mikaela Irene, Alshaabi, Thayer, Cramer, Kathryn, Danforth, Christopher M., Dodds, Peter Sheridan
Publikováno v:
Humanit Soc Sci Commun 10, 187 (2023)
While quantitative methods have been used to examine changes in word usage in books, studies have focused on overall trends, such as the shapes of narratives, which are independent of book length. We instead look at how words change over the course o
Externí odkaz:
http://arxiv.org/abs/2208.09496
Autor:
Angelopoulos, Anastasios N, Kohli, Amit P, Bates, Stephen, Jordan, Michael I, Malik, Jitendra, Alshaabi, Thayer, Upadhyayula, Srigokul, Romano, Yaniv
Image-to-image regression is an important learning task, used frequently in biological imaging. Current algorithms, however, do not generally offer statistical guarantees that protect against a model's mistakes and hallucinations. To address this, we
Externí odkaz:
http://arxiv.org/abs/2202.05265
Autor:
Fudolig, Mikaela Irene, Alshaabi, Thayer, Arnold, Michael V., Danforth, Christopher M., Dodds, Peter Sheridan
Publikováno v:
Applied Network Science 7, 9 (2022)
We explore the relationship between context and happiness scores in political tweets using word co-occurrence networks, where nodes in the network are the words, and the weight of an edge is the number of tweets in the corpus for which the two connec
Externí odkaz:
http://arxiv.org/abs/2110.00587
Autor:
Alshaabi, Thayer, Van Oort, Colin M., Fudolig, Mikaela Irene, Arnold, Michael V., Danforth, Christopher M., Dodds, Peter Sheridan
Publikováno v:
Front. Artif. Intell. 4:783778 (2022)
Sentiment-aware intelligent systems are essential to a wide array of applications. These systems are driven by language models which broadly fall into two paradigms: Lexicon-based and contextual. Although recent contextual models are increasingly dom
Externí odkaz:
http://arxiv.org/abs/2109.09010
Autor:
Wilson, Daniel, Alshaabi, Thayer, Van Oort, Colin, Zhang, Xiaohan, Nelson, Jonathan, Wshah, Safwan
Geo-localizing static objects from street images is challenging but also very important for road asset mapping and autonomous driving. In this paper we present a two-stage framework that detects and geolocalizes traffic signs from low frame rate stre
Externí odkaz:
http://arxiv.org/abs/2107.06257
Autor:
Li, Yi, Ahani, Asieh, Zhan, Haimao, Foley, Kevin, Alshaabi, Thayer, Linnell, Kelsey, Dodds, Peter Sheridan, Danforth, Christopher M., Fox, Adam
The forecasting of political, economic, and public health indicators using internet activity has demonstrated mixed results. For example, while some measures of explicitly surveyed public opinion correlate well with social media proxies, the opportun
Externí odkaz:
http://arxiv.org/abs/2107.06096
Autor:
Wu, Henry H., Gallagher, Ryan J., Alshaabi, Thayer, Adams, Jane L., Minot, Joshua R., Arnold, Michael V., Welles, Brooke Foucault, Harp, Randall, Dodds, Peter Sheridan, Danforth, Christopher M.
The murder of George Floyd by police in May 2020 sparked international protests and renewed attention in the Black Lives Matter movement. Here, we characterize ways in which the online activity following George Floyd's death was unparalleled in its v
Externí odkaz:
http://arxiv.org/abs/2106.10281
Autor:
Stupinski, Anne Marie, Alshaabi, Thayer, Arnold, Michael V., Adams, Jane Lydia, Minot, Joshua R., Price, Matthew, Dodds, Peter Sheridan, Danforth, Christopher M.
Mental health challenges are thought to afflict around 10% of the global population each year, with many going untreated due to stigma and limited access to services. Here, we explore trends in words and phrases related to mental health through a col
Externí odkaz:
http://arxiv.org/abs/2106.01481
Autor:
Alshaabi, Thayer, Adams, Jane L., Arnold, Michael V., Minot, Joshua R., Dewhurst, David R., Reagan, Andrew J., Danforth, Christopher M., Dodds, Peter Sheridan
Publikováno v:
Sci.Adv. 7 eabe6534 (2021)
In real-time, social media data strongly imprints world events, popular culture, and day-to-day conversations by millions of ordinary people at a scale that is scarcely conventionalized and recorded. Vitally, and absent from many standard corpora suc
Externí odkaz:
http://arxiv.org/abs/2007.12988
Autor:
Alshaabi, Thayer, Dewhurst, David Rushing, Bagrow, James P., Dodds, Peter Sheridan, Danforth, Christopher M.
Human mortality is in part a function of multiple socioeconomic factors that differ both spatially and temporally. Adjusting for other covariates, the human lifespan is positively associated with household wealth. However, the extent to which mortali
Externí odkaz:
http://arxiv.org/abs/2006.08527