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ABOUT JoVE

Overview Leadership Blog JoVE Help Center

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Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

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Testimonials Subscriptions Access Resources Library Advisory Board FAQ

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JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

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Kevin De Angeli

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BMC Bioinformatics|March 22, 2021

Deep active learning for classifying cancer pathology reportsKevin De Angeli, Shang Gao, Mohammed Alawad, et al.

JAMIA Open|September 16, 2022

Using ensembles and distillation to optimize the deployment of deep learning models for the classification of electronic cancer pathology reportsKevin De Angeli, Shang Gao, Andrew Blanchard, et al.

Journal of Biomedical Informatics|November 25, 2021

Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer typesKevin De Angeli, Shang Gao, Ioana Danciu, et al.

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Search research articles

Showing results (1-10 of 3) with videos related to

Sort By:

Pageof 1

BMC Bioinformatics|March 22, 2021

Deep active learning for classifying cancer pathology reportsKevin De Angeli, Shang Gao, Mohammed Alawad, et al.

JAMIA Open|September 16, 2022

Using ensembles and distillation to optimize the deployment of deep learning models for the classification of electronic cancer pathology reportsKevin De Angeli, Shang Gao, Andrew Blanchard, et al.

Journal of Biomedical Informatics|November 25, 2021

Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer typesKevin De Angeli, Shang Gao, Ioana Danciu, et al.

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