Data Sets, Modeling, and Decision Making in Smart Cities: A Survey von Ma, Meiyi, Preum, Sarah M., Ahmed, Mohsin Y., Tärneberg, William, Hendawi, Abdeltawab, Stankovic, John A.

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MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences von Nepal, Subigya, Pillai, Arvind, Campbell, William, Massachi, Talie, Heinz, Michael V., Kunwar, Ashmita, Choi, Eunsol Soul, Xu, Xuhai, Kuc, Joanna, Huckins, Jeremy F., Holden, Jason, Preum, Sarah M., Depp, Colin, Jacobson, Nicholas, Czerwinski, Mary P., Granholm, Eric, Campbell, Andrew T.

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Machine learning-based prediction of low-value care for hospitalized patients von King, Andrew J., Tang, Lu, Davis, Billie S., Preum, Sarah M., Bukowski, Leigh A., Zimmerman, John, Kahn, Jeremy M.

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Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for Inferring Online Health Texts von Gatto, Joseph, Preum, Sarah M

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Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments von Sharif, Omar, Gatto, Joseph, Basak, Madhusudan, Preum, Sarah M

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Scope of Pre-trained Language Models for Detecting Conflicting Health Information von Gatto, Joseph, Basak, Madhusudan, Preum, Sarah M

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Deciphering Hate: Identifying Hateful Memes and Their Targets von Hossain, Eftekhar, Sharif, Omar, Hoque, Mohammed Moshiul, Preum, Sarah M

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Large Language Models for Document-Level Event-Argument Data Augmentation for Challenging Role Types von Gatto, Joseph, Seegmiller, Parker, Sharif, Omar, Preum, Sarah M

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Align before Attend: Aligning Visual and Textual Features for Multimodal Hateful Content Detection von Hossain, Eftekhar, Sharif, Omar, Hoque, Mohammed Moshiul, Preum, Sarah M

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Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for Inferring Online Health Texts von Gatto, Joseph, Preum, Sarah M

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HealthE: Classifying Entities in Online Textual Health Advice von Gatto, Joseph, Seegmiller, Parker, Johnston, Garrett, Preum, Sarah M

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Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse von Gatto, Joseph, Basak, Madhusudan, Srivastava, Yash, Bohlman, Philip, Preum, Sarah M

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A Thematic Framework for Analyzing Large-scale Self-reported Social Media Data on Opioid Use Disorder Treatment Using Buprenorphine Product von Basak, Madhusudan, Sharif, Omar, Lord, Sarah E, Borodovsky, Jacob T, Marsch, Lisa A, Springer, Sandra A, Nunes, Edward, Brackett, Charlie D, ArchiBald, Luke J, Preum, Sarah M

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Characterizing Information Seeking Events in Health-Related Social Discourse von Sharif, Omar, Basak, Madhusudan, Parvin, Tanzia, Scharfstein, Ava, Bradham, Alphonso, Borodovsky, Jacob T, Lord, Sarah E, Preum, Sarah M

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Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments von Sharif, Omar, Gatto, Joseph, Basak, Madhusudan, Preum, Sarah M

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Deciphering Hate: Identifying Hateful Memes and Their Targets von Hossain, Eftekhar, Sharif, Omar, Hoque, Mohammed Moshiul, Preum, Sarah M

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Large Language Models for Document-Level Event-Argument Data Augmentation for Challenging Role Types von Gatto, Joseph, Parker Seegmiller, Sharif, Omar, Preum, Sarah M

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Scope of Pre-trained Language Models for Detecting Conflicting Health Information von Gatto, Joseph, Basak, Madhusudan, Preum, Sarah M

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MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences von Nepal, Subigya, Pillai, Arvind, Campbell, William, Massachi, Talie, Heinz, Michael V, Kunwar, Ashmita, Choi, Eunsol Soul, Xu, Orson, Kuc, Joanna, Huckins, Jeremy, Holden, Jason, Preum, Sarah M, Depp, Colin, Jacobson, Nicholas, Czerwinski, Mary, Granholm, Eric, Campbell, Andrew T

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Align before Attend: Aligning Visual and Textual Features for Multimodal Hateful Content Detection von Hossain, Eftekhar, Sharif, Omar, Hoque, Mohammed Moshiul, Preum, Sarah M

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