Thayer Alshaabi
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How the world’s collective attention is being paid to a pandemic: COVID-19 related n-gram time series for 24 languages on Twitter
T Alshaabi, MV Arnold, JR Minot, JL Adams, DR Dewhurst, AJ Reagan, ...
Plos one 16 (1), e0244476, 2021
Image-to-image regression with distribution-free uncertainty quantification and applications in imaging
AN Angelopoulos, AP Kohli, S Bates, M Jordan, J Malik, T Alshaabi, ...
International Conference on Machine Learning, 717-730, 2022
The growing amplification of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009–2020
T Alshaabi, DR Dewhurst, JR Minot, MV Arnold, JL Adams, CM Danforth, ...
EPJ Data Science 10 (1), 1-28, 2021
Storywrangler: a massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter
T Alshaabi, JL Adams, MV Arnold, JR Minot, DR Dewhurst, AJ Reagan, ...
Science advances 7 (29), eabe6534, 2021
Say Their Names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd
HH Wu, RJ Gallagher, T Alshaabi, JL Adams, JR Minot, MV Arnold, ...
Plos one 18 (1), e0279225, 2023
Allotaxonometry and rank-turbulence divergence: A universal instrument for comparing complex systems
PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ...
EPJ Data Science 12 (1), 37, 2023
Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter
JR Minot, MV Arnold, T Alshaabi, CM Danforth, PS Dodds
PloS one 16 (4), e0248880, 2021
Sentiment and structure in word co-occurrence networks on Twitter
MI Fudolig, T Alshaabi, MV Arnold, CM Danforth, PS Dodds
Applied Network Science 7 (1), 1-27, 2022
Fame and Ultrafame: Measuring and comparing daily levels of 'being talked about' for United States' presidents, their rivals, God, countries, and K-pop
PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ...
arXiv preprint arXiv:1910.00149, 2019
Arts: Automotive repository of traffic signs for the united states
F Almutairy, T Alshaabi, J Nelson, S Wshah
IEEE Transactions on Intelligent Transportation Systems 22 (1), 457-465, 2019
Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy
PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, AJ Reagan, ...
PloS one 16 (12), e0260592, 2021
Divergent modes of online collective attention to the COVID-19 pandemic are associated with future caseload variance
DR Dewhurst, T Alshaabi, MV Arnold, JR Minot, CM Danforth, PS Dodds
arXiv preprint arXiv:2004.03516, 2020
Quantifying changes in the Language used around Mental Health on Twitter over 10 years: Observational Study
AM Stupinski, T Alshaabi, MV Arnold, JL Adams, JR Minot, M Price, ...
JMIR mental health 9 (3), e33685, 2022
Hurricanes and hashtags: Characterizing online collective attention for natural disasters
MV Arnold, DR Dewhurst, T Alshaabi, JR Minot, JL Adams, CM Danforth, ...
PloS one 16 (5), e0251762, 2021
The shocklet transform: A decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series
DR Dewhurst, T Alshaabi, D Kiley, MV Arnold, JR Minot, CM Danforth, ...
EPJ Data Science 9 (1), 3, 2020
Object Tracking and Geo-Localization from Street Images
D Wilson*, T Alshaabi*, C Van Oort*, X Zhang, J Nelson, S Wshah
Remote Sensing 14 (11), 2575, 2022
The Sleep Loss Insult of Spring Daylight Savings in the US Is Observable in Twitter Activity
K Linnell, M Arnold, T Alshaabi, T McAndrew, J Lim, PS Dodds, ...
Perinodular parenchymal features improve indeterminate lung nodule classification
AH Masquelin, T Alshaabi, N Cheney, RSJ EstÚpar, JHT Bates, ...
Academic Radiology 30 (6), 1073-1080, 2023
Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series
PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ...
arXiv preprint arXiv:2008.11305, 2020
Twitter misogyny associated with Hillary Clinton increased throughout the 2016 US election campaign
M Weaving, T Alshaabi, MV Arnold, K Blake, CM Danforth, PS Dodds, ...
Scientific Reports 13 (1), 5266, 2023
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