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Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types.

K. Angeli, S. Gao, I. Danciu, E. Durbin, X. Wu, A. Stroup, J. Doherty, S. Schwartz, C. Wiggins, M. Damesyn, L. Coyle, L. Penberthy, G. Tourassi, and H. Yoon. J. Biomed. Informatics, (2022)

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Terry Stroup

Antoinette Faßhauer

Antoinette Bunse

Antoinette Röckseisen

Antoinette Hellkuhl

Other publications of authors with the same name

Deep active learning for classifying cancer pathology reports.K. Angeli, S. Gao, M. Alawad, H. Yoon, N. Schaefferkoetter, X. Wu, E. Durbin, J. Doherty, A. Stroup, L. Coyle and 2 other author(s). BMC Bioinform., 22 (1): 113 (2021)A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification.A. Blanchard, S. Gao, H. Yoon, J. Christian, E. Durbin, X. Wu, A. Stroup, J. Doherty, S. Schwartz, C. Wiggins and 3 other author(s). IEEE J. Biomed. Health Informatics, 26 (6): 2796-2803 (2022)Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping.M. Alawad, S. Gao, M. Shekar, S. Hasan, J. Christian, X. Wu, E. Durbin, J. Doherty, A. Stroup, L. Coyle and 2 other author(s). CoRR, (2021)Limitations of Transformers on Clinical Text Classification.S. Gao, M. Alawad, M. Young, J. Gounley, N. Schaefferkoetter, H. Yoon, X. Wu, E. Durbin, J. Doherty, A. Stroup and 2 other author(s). IEEE J. Biomed. Health Informatics, 25 (9): 3596-3607 (2021)Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports.H. Yoon, H. Klasky, J. Gounley, M. Alawad, S. Gao, E. Durbin, X. Wu, A. Stroup, J. Doherty, L. Coyle and 3 other author(s). J. Biomed. Informatics, (2020)Deep learning uncertainty quantification for clinical text classification.A. Peluso, I. Danciu, H. Yoon, J. Mohd-Yusof, T. Bhattacharya, A. Spannaus, N. Schaefferkoetter, E. Durbin, X. Wu, A. Stroup and 7 other author(s). J. Biomed. Informatics, (January 2024)Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles.H. Yoon, H. Klasky, E. Durbin, X. Wu, A. Stroup, J. Doherty, L. Coyle, L. Penberthy, C. Stanley, J. Christian and 1 other author(s). Poly/DMAH@VLDB, volume 12633 of Lecture Notes in Computer Science, page 87-99. Springer, (2020)Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types.K. Angeli, S. Gao, I. Danciu, E. Durbin, X. Wu, A. Stroup, J. Doherty, S. Schwartz, C. Wiggins, M. Damesyn and 4 other author(s). J. Biomed. Informatics, (2022)

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Disambiguation of "Stroup, Antoinette"

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Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types.

Please choose a person to relate this publication to

Terry Stroup

Antoinette Faßhauer

Antoinette Bunse

Antoinette Röckseisen

Antoinette Hellkuhl

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Stroup, Antoinette"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types.

Please choose a person to relate this publication to

Terry Stroup

Antoinette Faßhauer

Antoinette Bunse

Antoinette Röckseisen

Antoinette Hellkuhl

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types.