Gully Burns — accepted AI-conference papers

2021

MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification

Te-Lin Wu, Shikhar Singh, Sayan Paul, Gully Burns, Nanyun Peng

AAAI 2021technical

We introduce a new dataset, MELINDA, for Multimodal biomEdicaL experImeNt methoD clAssification. The dataset is collected in a fully automated distant supervision manner, where the labels are obtained from an existing curated database, and the actual contents are extracted from papers associated wit…

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2019

Layout-aware Subfigure Decomposition for Complex Figures in the Biomedical Literature

Xiangyang Shi, Yue Wu, Huaigu Cao, Gully Burns, Prem Natarajan

ICASSP 2019accepted

Published scientific figure is a valuable information resource, but often occur as composite images. The ImageCLEF meeting presented a shared evaluation in 2016 to use machine learning to split these composite figures into components automatically. We adapted an existing high-performance object dete…

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