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Towards computer-aided severity assessment: training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity


May 27, 2020
Alexander Wong, Zhong Qiu Lin, Linda Wang, Audrey G. Chung, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Timothy Q. Duong

* 7 pages 

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PuckNet: Estimating hockey puck location from broadcast video


Dec 11, 2019
Kanav Vats, William McNally, Chris Dulhanty, Zhong Qiu Lin, David A. Clausi, John Zelek


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Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms


Oct 29, 2019
Zhong Qiu Lin, Mohammad Javad Shafiee, Stanislav Bochkarev, Michael St. Jules, Xiao Yu Wang, Alexander Wong

* 9 pages 

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Explaining with Impact: A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms


Oct 16, 2019
Zhong Qiu Lin, Mohammad Javad Shafiee, Stanislav Bochkarev, Michael St. Jules, Xiao Yu Wang, Alexander Wong

* 9 pages 

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State of Compact Architecture Search For Deep Neural Networks


Oct 15, 2019
Mohammad Javad Shafiee, Andrew Hryniowski, Francis Li, Zhong Qiu Lin, Alexander Wong

* 6 pages 

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Squeeze-and-Attention Networks for Semantic Segmentation


Sep 10, 2019
Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Jonathan Li, Alexander Wong


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EdgeSegNet: A Compact Network for Semantic Segmentation


May 10, 2019
Zhong Qiu Lin, Brendan Chwyl, Alexander Wong

* 5 pages 

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AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design


Apr 15, 2019
Alexander Wong, Zhong Qiu Lin, Brendan Chwyl

* 15 pages 

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Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks


Jan 26, 2019
Zhong Qiu Lin, Alexander Wong

* 9 pages 

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