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Chris Callison-Burch

Showing results (1-10 of 9) with videos related to

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Plos One|December 17, 2020
Artificial Intelligence in mental health and the biases of language based modelsIsabel Straw, Chris Callison-Burch
International Journal of Medical Informatics|January 9, 2023
A deep learning method to detect opioid prescription and opioid use disorder from electronic health recordsAditya Kashyap, Chris Callison-Burch, Mary Regina Boland
Journal of Biomedical Informatics|April 9, 2017
Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotationAnne Cocos, Ting Qian, Chris Callison-Burch, et al.
International Journal of Medical Informatics|February 24, 2020
The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for predicting acronym sense from neonatal clinical notesAditya Kashyap, Heather Burris, Chris Callison-Burch, et al.
Plos One|February 22, 2020
SNAP judgments into the digital age: Reporting on food stamps varies significantly with time, publication type, and political leaningBenjamin W Chrisinger, Eliza W Kinsey, Ellie Pavlick, et al.
Bioinformatics (Oxford, England)|April 8, 2025
Predicting explainable dementia types with LLM-aided feature engineeringAditya M Kashyap, Delip Rao, Mary Regina Boland, et al.
Journal of the American Academy of Dermatology|July 16, 2019
Natural language processing of Reddit data to evaluate dermatology patient experiences and therapeuticsEdidiong Okon, Vishnutheja Rachakonda, Hyo Jung Hong, et al.
Advances in Neural Information Processing Systems|May 12, 2025
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image AnalysisYue Yang, Mona Gandhi, Yufei Wang, et al.
Delaware Journal of Public Health|May 21, 2026
Human-AI Cooperation in Healthcare and RehabilitationAustin Brockmeier, Panagiotis Artemiadis, Hacene Boukari, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Plos One|December 17, 2020
Artificial Intelligence in mental health and the biases of language based modelsIsabel Straw, Chris Callison-Burch
International Journal of Medical Informatics|January 9, 2023
A deep learning method to detect opioid prescription and opioid use disorder from electronic health recordsAditya Kashyap, Chris Callison-Burch, Mary Regina Boland
Journal of Biomedical Informatics|April 9, 2017
Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotationAnne Cocos, Ting Qian, Chris Callison-Burch, et al.
International Journal of Medical Informatics|February 24, 2020
The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for predicting acronym sense from neonatal clinical notesAditya Kashyap, Heather Burris, Chris Callison-Burch, et al.
Plos One|February 22, 2020
SNAP judgments into the digital age: Reporting on food stamps varies significantly with time, publication type, and political leaningBenjamin W Chrisinger, Eliza W Kinsey, Ellie Pavlick, et al.
Bioinformatics (Oxford, England)|April 8, 2025
Predicting explainable dementia types with LLM-aided feature engineeringAditya M Kashyap, Delip Rao, Mary Regina Boland, et al.
Journal of the American Academy of Dermatology|July 16, 2019
Natural language processing of Reddit data to evaluate dermatology patient experiences and therapeuticsEdidiong Okon, Vishnutheja Rachakonda, Hyo Jung Hong, et al.
Advances in Neural Information Processing Systems|May 12, 2025
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image AnalysisYue Yang, Mona Gandhi, Yufei Wang, et al.
Delaware Journal of Public Health|May 21, 2026
Human-AI Cooperation in Healthcare and RehabilitationAustin Brockmeier, Panagiotis Artemiadis, Hacene Boukari, et al.
Pageof 1