Andrew Margenot

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 5

Top Topics

Active Learning

Selective Sampling

Top Venues

Comput. Electron. Agric.

Publications

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)
Baoyu Jing, Si Zhang, Yada Zhu, Bin Peng, Kaiyu Guan, Andrew Margenot, Hanghang Tong
Retrieval Based Time Series Forecasting. CoRR (2022)
Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He
Deep Active Learning by Leveraging Training Dynamics. NeurIPS (2022)
Haonan Wang, Wei Huang, Andrew Margenot, Hanghang Tong, Jingrui He
Deep Active Learning by Leveraging Training Dynamics. CoRR (2021)
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)