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Matthew Baucum

Matt Baucum

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affiliation: University of Tennessee Knoxville, USA

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Journal Articles

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2023
[j4]
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  dblp key:
  - journals/mansci/BaucumKVR23
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  - https://dblp.org/rec/journals/mansci/BaucumKVR23
Matt Baucum, Anahita Khojandi, Rama K. Vasudevan, Ritesh A. Ramdhani:
Optimizing Patient-Specific Medication Regimen Policies Using Wearable Sensors in Parkinson's Disease. Manag. Sci. 69(10): 5964-5982 (2023)
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Matt Baucum, Anahita Khojandi, Carole Myers, Larry Kessler:
Optimizing Substance Use Treatment Selection Using Reinforcement Learning. ACM Trans. Manag. Inf. Syst. 14(2): 13:1-13:30 (2023)
2021
[j2]
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Matthew Baucum, Anahita Khojandi, Rama K. Vasudevan:
Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare Application. IEEE J. Biomed. Health Informatics 25(6): 2273-2280 (2021)
2020
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Matthew Baucum, Jinshu Cui, Richard S. John:
Temporal and Geospatial Gradients of Fear and Anger in Social Media Responses to Terrorism. ACM Trans. Soc. Comput. 2(4): 16:1-16:16 (2020)

Conference and Workshop Papers

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2021
[c4]
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Matt Baucum, Anahita Khojandi, Theodore Papamarkou:
Hidden Markov models as recurrent neural networks: An application to Alzheimer's disease. BIBE 2021: 1-6
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Aradhana Soni, Benjamin Amrhein, Matthew Baucum, Eun Jin Paek, Anahita Khojandi:
Using Verb Fluency, Natural Language Processing, and Machine Learning to Detect Alzheimer's Disease. EMBC 2021: 2282-2285
[c2]
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Marjory Day, Rupam Kumar Dey, Matthew Baucum, Eun Jin Paek, Hyejin Park, Anahita Khojandi:
Predicting Severity in People with Aphasia: A Natural Language Processing and Machine Learning Approach. EMBC 2021: 2299-2302
2019
[c1]
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Matthew Baucum, Richard John:
Gradients of Fear and Anger in the Social Media Response to Terrorism. HICSS 2019: 1-10

Informal and Other Publications

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2020
[i1]
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  - journals/corr/abs-2006-03151
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Matt Baucum, Anahita Khojandi, Theodore Papamarkou:
Hidden Markov models are recurrent neural networks: A disease progression modeling application. CoRR abs/2006.03151 (2020)

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