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Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records

Nov 22, 2021
Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu

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Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources

Apr 05, 2019
Edwin Simpson, Steven Reece, Stephen J. Roberts

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DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation

Jun 21, 2021
Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang

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Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples

Nov 04, 2021
Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee

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DEM Super-Resolution with EfficientNetV2

Sep 20, 2021
Bekir Z Demiray, Muhammed Sit, Ibrahim Demir

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RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation

Nov 18, 2021
Yantao Lu, Xuetao Hao, Shiqi Sun, Weiheng Chai, Muchenxuan Tong, Senem Velipasalar

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Policy Gradients Incorporating the Future

Aug 04, 2021
David Venuto, Elaine Lau, Doina Precup, Ofir Nachum

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Unbiased Graph Embedding with Biased Graph Observations

Oct 29, 2021
Nan Wang, Lu Lin, Jundong Li, Hongning Wang

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DSBERT:Unsupervised Dialogue Structure learning with BERT

Nov 09, 2021
Bingkun Chen, Shaobing Dai, Shenghua Zheng, Lei Liao, Yang Li

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GraphIE: A Graph-Based Framework for Information Extraction

Oct 31, 2018
Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay

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