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Dongyu Liu

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Pyreal: A Framework for Interpretable ML Explanations

Dec 20, 2023
Alexandra Zytek, Wei-En Wang, Dongyu Liu, Laure Berti-Equille, Kalyan Veeramachaneni

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AER: Auto-Encoder with Regression for Time Series Anomaly Detection

Dec 27, 2022
Lawrence Wong, Dongyu Liu, Laure Berti-Equille, Sarah Alnegheimish, Kalyan Veeramachaneni

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Sintel: A Machine Learning Framework to Extract Insights from Signals

Apr 19, 2022
Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Equille, Kalyan Veeramachaneni

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The Need for Interpretable Features: Motivation and Taxonomy

Feb 23, 2022
Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Equille, Kalyan Veeramachaneni

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VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models

Aug 04, 2021
Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni

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Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making

Mar 02, 2021
Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni

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Superresolving second-order correlation imaging using synthesized colored noise speckles

Feb 11, 2021
Zheng Li, Xiaoyu Nie, Fan Yang, Xiangpei Liu, Dongyu Liu, Xiaolong Dong, Xingchen Zhao, Tao Peng, M. Suhail Zubairy, Marlan O. Scully

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Cardea: An Open Automated Machine Learning Framework for Electronic Health Records

Oct 01, 2020
Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Dongyu Liu, Mansour Alsaleh, Kalyan Veeramachaneni

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TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks

Sep 19, 2020
Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

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