Vermont EPSCoR Publications and Products


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Filters: Author is Christopher M Danforth  [Clear All Filters]
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Dodds PS, Minot JR, Arnold MV, Alshaabi T, Adams JL, Dewhurst DR, Gray TJ, Frank MR, Reagan AJ, Danforth CM. Allotaxonometry and rank-turbulence divergence: a universal instrument for comparing complex systemsAbstract. EPJ Data Science [Internet]. 2023 ;12(1). Available from: https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-023-00400-x
B
Zimmerman JW, Hudon D, Cramer K, Onge JSt., Fudolig MI, Trujillo MZ, Danforth CM, Dodds PS. A blind spot for large language models: Supradiegetic linguistic information. [Internet]. Under Review . Available from: https://arxiv.org/pdf/2306.06794.pdf
C
Arnold MV, Dodds PS, Danforth CM. Curating corpora with classifiers: A case study of clean energy sentiment online. [Internet]. Under Review . Available from: https://arxiv.org/pdf/2305.03092.pdf
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Bloomfield LSP, Fudolig MI, Dodds PS, Llorin J, Lovato J, Kim J, McGinnis EW, McGinnis RS, Price M, Ricketts TH, et al. Detecting stress in college freshmen from wearable sleep data. PLOS Digital Health. Awaiting Publication .
E
McGinnis EW, Loftness B, Lunna S, Berman I, Bagdon S, Lewis G, Arnold MV, Danforth CM, Dodds PS, Price M, et al. Expecting the Unexpected: Predicting Panic Attacks from Mood, Twitter, and Apple Watch Data. IEEE Open Journal of Engineering in Medicine and Biology [Internet]. 2024 :1 - 8. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10399901
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Price M, Hidalgo JE, Bird YM, Bloomfield LSP, Buck C, Cerruti J, Dodds PS, Fudolig MI, Gehman R, Hickok M, et al. A large clinical trial to improve well-being during the transition to college using wearables: The lived experiences measured using rings study. Contemporary Clinical Trials [Internet]. 2023 ;133:107338. Available from: https://www.sciencedirect.com/science/article/abs/pii/S1551714423002616
S
Ross L, Danforth CM, Eppstein MJ, Clarfeld LA, Durieux BN, Gramling CJ, Hirsch L, Rizzo DM, Gramling R. Story Arcs in Serious Illness: Natural Language Processing features of Palliative Care Conversations. Patient Education and Counseling [Internet]. 2019 . Available from: https://www.sciencedirect.com/science/article/pii/S0738399119305282