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Deep Bayesian Unsupervised Lifelong Learning

Jun 13, 2021
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer Dy

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Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function

Jan 12, 2021
Zhaowei Zhu, Xiang Lan, Tingting Zhao, Yangming Guo, Pipin Kojodjojo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Han Wang, Xingzhi Sun, Mengling Feng

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A Computer Vision Application for Assessing Facial Acne Severity from Selfie Images

Jul 31, 2019
Tingting Zhao, Hang Zhang, Jacob Spoelstra

* 4 pages, 6 figures. To be presented at the 2019 KDD workshop on Applied data science in Healthcare: bridging the gap between data and knowledge 

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Adaptive Nonparametric Variational Autoencoder

Jun 07, 2019
Tingting Zhao, Zifeng Wang, Aria Masoomi, Jennifer G. Dy

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Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler

Jun 03, 2019
Tingting Zhao, Alexandre Bouchard-Côté

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Deep-gKnock: nonlinear group-feature selection with deep neural network

May 27, 2019
Guangyu Zhu, Tingting Zhao

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Simulation Study on a New Peer Review Approach

Jun 11, 2018
Albert Steppi, Jinchan Qu, Minjing Tao, Tingting Zhao, Xiaodong Pang, Jinfeng Zhang

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Efficient Reuse of Previous Experiences to Improve Policies in Real Environment

May 10, 2014
Norikazu Sugimoto, Voot Tangkaratt, Thijs Wensveen, Tingting Zhao, Masashi Sugiyama, Jun Morimoto

* 14 pages, 9 figures, arXiv admin note: substantial text overlap with arXiv:1301.3966 

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Model-Based Policy Gradients with Parameter-Based Exploration by Least-Squares Conditional Density Estimation

Jul 19, 2013
Syogo Mori, Voot Tangkaratt, Tingting Zhao, Jun Morimoto, Masashi Sugiyama

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Efficient Sample Reuse in Policy Gradients with Parameter-based Exploration

Jan 17, 2013
Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama

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