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Andrew Margenot

Andrew J. Margenot

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2020 – today

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2023
[c2]
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  - conf/kdd/WangYQZGMT23
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  - https://dblp.org/rec/conf/kdd/WangYQZGMT23
Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong:
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. KDD 2023: 2256-2268
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  - journals/corr/abs-2305-18612
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  - https://dblp.org/rec/journals/corr/abs-2305-18612
Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew J. Margenot, Hanghang Tong:
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. CoRR abs/2305.18612 (2023)
2022
[c1]
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Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He:
Deep Active Learning by Leveraging Training Dynamics. NeurIPS 2022
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  - journals/corr/abs-2209-13525
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Baoyu Jing, Si Zhang, Yada Zhu, Bin Peng, Kaiyu Guan, Andrew Margenot, Hanghang Tong:
Retrieval Based Time Series Forecasting. CoRR abs/2209.13525 (2022)
2021
[i1]
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  - journals/corr/abs-2110-08611
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Haonan Wang, Wei Huang, Andrew Margenot, Hanghang Tong, Jingrui He:
Deep Active Learning by Leveraging Training Dynamics. CoRR abs/2110.08611 (2021)
2020
[j1]
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  - journals/cea/MargenotNSA20
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Andrew Margenot, Terry O'Neill, Rolf Sommer, Venkatesh Akella:
Predicting soil permanganate oxidizable carbon (POXC) by coupling DRIFT spectroscopy and artificial neural networks (ANN). Comput. Electron. Agric. 168 (2020)

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