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  Using artificial intelligence to interpret pneumonia CXR (chest X ray) findings in children with a phone application platform 

  Thompson, Russell; Li, Jason; Wang, Kaihong; Etter, Lauren; Camelo, Ingrid; Castro-Aragon, Ilse; Setty, Bindu; Chang, Hailey; Betke, Margrit; Pieciak, Rachel; Gill, Christopher (2022-04-27)
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  3D multimodal dataset and token-based pose optimization 

  Patel, Mahir; Gu, Yiwen; Carstensen, Lucas; Hasselmo, Michael E.; Betke, Margrit (2022-06-19)
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  Feature analysis and extraction for post aphasia recovery prediction 

  Chennuri, Saurav; Billot, Anne; Lai, Sha; Ishwar, Prakash; Betke, Margrit; Kiran, Swathi (2022-07-27)
• BU-NEmo: news and emotions dataset 

  Reardon, Carley; Paik, Sejin; Gao, Ge; Parekh, Meet; Zhao, Yanling; Guo, Lei; Betke, Margrit; Wijaya, D. (2022-06-20)

  BU-NEmo is a multimodal affective dataset of gun violence news content. BU-NEmo extends the Gun Violence Framing Corpus (GVFC) proposed by Liu et. al (2019) and Tourni et. al (2021), which contains pairs of news headlines ...
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  Multimodal neural and behavioral data predict response to rehabilitation in chronic post-stroke aphasia 

  Billot, Anne; Lai, Sha; Varkanitsa, Maria; Braun, Emily; Rapp, Brenda; Parrish, Todd; Higgins, James; Kurani, Ajay; Caplan, David; Thompson, Cynthia; Ishwar, Prakash; Betke, Margrit; Kiran, Swathi (American Heart Association, 2022-01-26)

  BACKGROUND: Poststroke recovery depends on multiple factors and varies greatly across individuals. Using machine learning models, this study investigated the independent and complementary prognostic role of different ...
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  ATL-BP: a student engagement dataset and model for affect transfer learning for behavior prediction 

  Ruiz, Nataniel; Yu, Hao; Allessio, Danielle A.; Jalal, Mona; Joshi, Ajjen; Murray, Tom; Magee, John J.; Delgado, Kevin Manuel; Ablavsky, Vitaly; Sclaroff, Stan; Arroyo, Ivon; Woolf, Beverly P.; Bargal, Sarah Adel; Betke, Margrit (Institute of Electrical and Electronics Engineers (IEEE), 2022)
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  A unified framework for domain adaptive pose estimation 

  Kim, Donghyun; Wang, Kaihong; Saenko, K.; Betke, Margrit; Sclaroff, S. (Springer Nature Switzerland, 2022-10-23)

  While pose estimation is an important computer vision task, it requires expensive annotation and suffers from domain shift. In this paper, we investigate the problem of domain adaptive 2D pose estimation that transfers ...
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  Revealing and protecting labels in distributed training 

  Chin, Sang Peter; Dang, Trung; Thakkar, Om; Ramaswamy, Swaroop; Mathews, Rajiv; Beaufays, Françoise (2021-12-14)

  Distributed learning paradigms such as federated learning often involve transmission of model updates, or gradients, over a network, thereby avoiding transmission of private data. However, it is possible for sensitive ...
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  NEmo – news that triggers emotions, an affectively-annotated dataset of gun violence news 

  Reardon, Carley; Paik, Sejin; Gao, Ge; Parekh, Meet; Zhao, Yanling; Guo, Lei; Betke, Margrit; Wijaya, Derry (2022-06-20)

  Given our society’s increased exposure to multimedia formats on social media platforms, efforts to understand how digital content impacts people’s emotions are burgeoning. As such, we introduce a U.S. gun violence news ...
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  Community detection of the framing element network: proposing and assessing a new computational framing analysis approach 

  Jiang, Y.; Lai, S.; Guo, Lei; Ishwar, Prakash; Wijaya, Derry; Betke, Margrit (2022-08-03)

  The evolving computational news framing detection has been a prominent yet contested field among mass communication scholars. This study explores a new approach to identifying frames as clusters of framing elements including ...

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