Christopher J. Duffy

Vipin Kumar

CoRR, 2023

Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Probabilistic Inverse Modeling: An Application in Hydrology.

[BibT_eX]

[DOI]

Snigdhansu Chatterjee

John Nieber

Vipin Kumar

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making.

[BibT_eX]

[DOI]

ACM Trans. Interact. Intell. Syst., 2021

Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Physics Guided Machine Learning Methods for Hydrology.

[BibT_eX]

[DOI]

CoRR, 2020

2019

A coupled surface-subsurface hydrologic model to assess groundwater flood risk spatially and temporally.

[BibT_eX]

[DOI]

Xuan Yu

Daniel Moraetis

Nikolaos P. Nikolaidis

Bailing Li

Bingjun Liu

Environ. Model. Softw., 2019

An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019

2016

Tuning Heterogeneous Computing Platforms for Large-Scale Hydrology Data Management.

[BibT_eX]

[DOI]

Kamesh Madduri

IEEE Trans. Parallel Distributed Syst., 2016

Cyber-Innovated Watershed Research at the Shale Hills Critical Zone Observatory.

[BibT_eX]

[DOI]

IEEE Syst. J., 2016

Hydrological model uncertainty due to spatial evapotranspiration estimation methods.

[BibT_eX]

[DOI]

Comput. Geosci., 2016

Fully-coupled hydrologic processes for modeling landscape evolution.

[BibT_eX]

[DOI]

Yu Zhang

Rudy Slingerland

Environ. Model. Softw., 2016

Visualization workflows for level-12 HUC scales: Towards an expert system for watershed analysis in a distributed computing environment.

[BibT_eX]

[DOI]

Environ. Model. Softw., 2016

2015

Supporting Open Collaboration in Science Through Explicit and Linked Semantic Description of Processes.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web. Latest Advances and New Domains, 2015

A Task-Centered Framework for Computationally-Grounded Science Collaborations.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on e-Science, 2015

2014

Automating data-model workflows at a level 12 HUC scale: Watershed modeling in a distributed computing environment.

[BibT_eX]

[DOI]

Environ. Model. Softw., 2014

A tightly coupled GIS and distributed hydrologic modeling framework.

[BibT_eX]

[DOI]

Gopal Bhatt

Environ. Model. Softw., 2014

2013

Parameterization for distributed watershed modeling using national data and evolutionary algorithm.

[BibT_eX]

[DOI]

Comput. Geosci., 2013

Essential Terrestrial Variable data workflows for distributed water resources modeling.

[BibT_eX]

[DOI]

Environ. Model. Softw., 2013

2011

Watershed Reanalysis: Towards a National Strategy for Model-Data Integration.

[BibT_eX]

[DOI]

Proceedings of the IEEE 7th International Conference on E-Science, 2011

2010

An object-oriented shared data model for GIS and distributed hydrologic models.

[BibT_eX]

[DOI]

Gopal Bhatt

Int. J. Geogr. Inf. Sci., 2010

2009

An efficient domain decomposition framework for accurate representation of geodata in distributed hydrologic models.

[BibT_eX]

[DOI]

Gopal Bhatt

Int. J. Geogr. Inf. Sci., 2009

2004

Enhancing the performance of feature selection algorithms for classifying hyperspectral imagery.

[BibT_eX]

[DOI]