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Jeffrey M. Sadler

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

6

Venues

3

Active years

2021–2023

Best venue rank

A*

Where they publish

Papers

6 indexed papers, newest first.

YearVenueTitleAuthors
2023CIKMMeta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction.Shengyu Chen, Nasrin Kalanat, Simon N. Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia
2021ICDMPartial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature.Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Taylor T. Johnson
2021ICDMHeterogeneous Stream-reservoir Graph Networks with Data Assimilation.Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler, Jacob Zwart, Xiaowei Jia
2021ICDMPhysics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems.Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
2021SDMGraph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks.Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
2021SDMPhysics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks.Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar