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Breaking traditional barriers: Collaboration, impact, and information technology in the humanities.

, , , , , and . ASIST, volume 52 of Proc. Assoc. Inf. Sci. Technol., page 1-4. Wiley, (2015)

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Breaking traditional barriers: Collaboration, impact, and information technology in the humanities., , , , , and . ASIST, volume 52 of Proc. Assoc. Inf. Sci. Technol., page 1-4. Wiley, (2015)Scalable deep text comprehension for Cancer surveillance on high-performance computing., , , , , , , , and . BMC Bioinformatics, 19-S (18): 99-110 (2018)Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension., , , , and . BHI, page 345-348. IEEE, (2018)Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports., , , , , , , , , and 3 other author(s). BHI, page 1-4. IEEE, (2019)Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction., , , and . BigData, page 2838-2846. IEEE, (2018)An Emerging Role for Polystores in Precision Medicine., , , and . DMAH@VLDB, volume 10494 of Lecture Notes in Computer Science, page 41-52. Springer, (2017)Finding Outliers in Models of Spatial Data., and . DG.O, Digital Government Research Center, (2003)Hierarchical attention networks for information extraction from cancer pathology reports., , , , , , , and . JAMIA, 25 (3): 321-330 (2018)Classifying cancer pathology reports with hierarchical self-attention networks., , , , , , , , , and 3 other author(s). Artificial Intelligence in Medicine, (2019)CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules., , , , , , and . BMC Bioinformatics, 19-S (18): 3-8 (2018)