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Jordan S. Read
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2020 – today
- 2023
- [j8]Shengyu Chen, Nasrin Kalanat, Yiqun Xie, Sheng Li, Jacob A. Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha K. Oliver, Jordan S. Read, Xiaowei Jia:
Physics-guided machine learning from simulated data with different physical parameters. Knowl. Inf. Syst. 65(8): 3223-3250 (2023) - 2022
- [c9]Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar:
Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. SDM 2022: 702-710 - 2021
- [j7]Tadhg N. Moore, Jorrit P. Mesman, Robert Ladwig, Johannes Feldbauer, Freya Olsson, Rachel M. Pilla, Tom Shatwell, Jason J. Venkiteswaran, Austin D. Delany, Hilary Dugan, Kevin C. Rose, Jordan S. Read:
LakeEnsemblR: An R package that facilitates ensemble modelling of lakes. Environ. Model. Softw. 143: 105101 (2021) - [j6]Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar:
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. Trans. Data Sci. 2(3): 20:1-20:26 (2021) - [c8]Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read:
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. ICDM 2021: 270-279 - [c7]Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler, Jacob Zwart, Xiaowei Jia:
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. ICDM 2021: 1024-1029 - [c6]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:
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. SDM 2021: 612-620 - [c5]Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read:
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. SDM 2021: 621-629 - [i9]Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler, Jacob Zwart, Xiaowei Jia:
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. CoRR abs/2110.04959 (2021) - 2020
- [c4]Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar:
Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. IGARSS 2020: 3494-3496 - [c3]Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne:
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. SDM 2020: 532-540 - [i8]Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar:
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. CoRR abs/2001.11086 (2020) - [i7]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:
Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. CoRR abs/2009.12575 (2020) - [i6]Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read:
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. CoRR abs/2010.14000 (2020) - [i5]Jared D. Willard, Jordan S. Read, Alison P. Appling, Samantha K. Oliver, Xiaowei Jia, Vipin Kumar:
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning. CoRR abs/2011.05369 (2020)
2010 – 2019
- 2019
- [c2]Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar:
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. SDM 2019: 558-566 - [i4]Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne:
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. CoRR abs/1911.02682 (2019) - 2018
- [j5]Louise C. Bruce, Marieke A. Frassl, George B. Arhonditsis, Gideon Gal, David P. Hamilton, Paul C. Hanson, Amy L. Hetherington, John M. Melack, Jordan S. Read, Karsten Rinke, Anna Rigosi, Dennis Trolle, Luke A. Winslow, Rita Adrian, Ana I. Ayala, Serghei A. Bocaniov, Bertram Boehrer, Casper Boon, Matthew R. Hipsey:
A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network. Environ. Model. Softw. 102: 274-291 (2018) - [i3]Xiaowei Jia, Anuj Karpatne, Jared Willard, Michael S. Steinbach, Jordan S. Read, Paul C. Hanson, Hilary A. Dugan, Vipin Kumar:
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes. CoRR abs/1810.02880 (2018) - [i2]Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar:
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. CoRR abs/1810.13075 (2018) - 2017
- [i1]Anuj Karpatne, William Watkins, Jordan S. Read, Vipin Kumar:
Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling. CoRR abs/1710.11431 (2017) - 2016
- [j4]Luke A. Winslow, Scott Chamberlain, Alison P. Appling, Jordan S. Read:
sbtools: A Package Connecting R to Cloud-based Data for Collaborative Online Research. R J. 8(1): 387 (2016) - 2015
- [j3]R. Iestyn Woolway, Ian D. Jones, David P. Hamilton, Stephen C. Maberly, Kohji Muraoka, Jordan S. Read, Robyn L. Smyth, Luke A. Winslow:
Automated calculation of surface energy fluxes with high-frequency lake buoy data. Environ. Model. Softw. 70: 191-198 (2015) - [c1]Yolanda Gil, Felix Michel, Varun Ratnakar, Jordan S. Read, Matheus Hauder, Christopher J. Duffy, Paul C. Hanson, Hilary Dugan:
Supporting Open Collaboration in Science Through Explicit and Linked Semantic Description of Processes. ESWC 2015: 591-605 - 2012
- [j2]Emily L. Kara, Paul C. Hanson, David P. Hamilton, Matthew R. Hipsey, Katherine D. McMahon, Jordan S. Read, Luke A. Winslow, John Dedrick, Kevin Rose, Cayelan C. Carey, Stefan Bertilsson, David da Motta Marques, Lucas Beversdorf, Todd Miller, Chin H. Wu, Yi-Fang Hsieh, Evelyn Gaiser, Tim Kratz:
Time-scale dependence in numerical simulations: Assessment of physical, chemical, and biological predictions in a stratified lake at temporal scales of hours to months. Environ. Model. Softw. 35: 104-121 (2012) - 2011
- [j1]Jordan S. Read, David P. Hamilton, Ian D. Jones, Kohji Muraoka, Luke A. Winslow, Ryan Kroiss, Chin H. Wu, Evelyn Gaiser:
Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environ. Model. Softw. 26(11): 1325-1336 (2011)
Coauthor Index
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