Samantha Oliver
Orcid: 0000-0001-5668-1165
According to our database1,
Samantha Oliver
authored at least 14 papers
between 2020 and 2025.
Collaborative distances:
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Bibliography
2025
Evaluation of daily stream temperature predictions (1979-2021) across the contiguous United States using a spatiotemporal aware machine learning algorithm.
Environ. Model. Softw., 2025
2023
Source code: Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations.
Dataset, February, 2023
Physics-guided machine learning from simulated data with different physical parameters.
Knowl. Inf. Syst., 2023
2022
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
2021
Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation.
Dataset, December, 2021
Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation.
Dataset, August, 2021
Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation.
Dataset, July, 2021
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems.
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature.
Proceedings of the IEEE International Conference on Data Mining, 2021
2020
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning.
CoRR, 2020
Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks.
CoRR, 2020