Author of the publication

Optimizing annotation resources for natural language de-identification via a game theoretic framework.

, , , , , , , and . J. Biomed. Informatics, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Scalable Iterative Classification for Sanitizing Large-Scale Datasets., , , and . IEEE Trans. Knowl. Data Eng., 29 (3): 698-711 (2017)Optimizing annotation resources for natural language de-identification via a game theoretic framework., , , , , , , and . J. Biomed. Informatics, (2016)Iterative Classification for Sanitizing Large-Scale Datasets., , , and . ICDM, page 841-846. IEEE Computer Society, (2015)Scalable Natural Language De-identification based on Machine Learning Approaches.. Vanderbilt University, Nashville, Tennessee, USA, (2018)base-search.net (ftvanderbilt:oai:ir.vanderbilt.edu:1803/11460).Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models., , , , , and . CoRR, (2019)Evaluation of walking in place on a Wii balance board to explore a virtual environment., , , , and . ACM Trans. Appl. Percept., 8 (3): 19:1-19:14 (2011)De-identification of clinical narratives through writing complexity measures., , , , and . Int. J. Medical Informatics, 83 (10): 750-767 (2014)Recognizing UMLS Semantic Types with Deep Learning., , , , , and . LOUHI@EMNLP, page 157-167. Association for Computational Linguistics, (2019)Resilience of clinical text de-identified with "hiding in plain sight" to hostile reidentification attacks by human readers., , , , , , , , and . J. Am. Medical Informatics Assoc., 27 (9): 1374-1382 (2020)The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight., , , , , , and . J. Am. Medical Informatics Assoc., 26 (12): 1536-1544 (2019)