Enhancing the performance of feature selection algorithms for classifying hyperspectral imagery. - Mukesh Kumar 002; Christopher J. Duffy; Patrick M. Reed (IGARSS, 2004)

An efficient domain decomposition framework for accurate representation of geodata in distributed hydrologic models. - Mukesh Kumar 002; Gopal Bhatt; Christopher J. Duffy (Int. J. Geogr. Inf. Sci., 2009)

An object-oriented shared data model for GIS and distributed hydrologic models. - Mukesh Kumar 002; Gopal Bhatt; Christopher J. Duffy (Int. J. Geogr. Inf. Sci., 2010)

Watershed Reanalysis: Towards a National Strategy for Model-Data Integration. - Christopher J. Duffy; Lorne Leonard; Gopal Bhatt; Xuan Yu; C. Lee Giles (e-Science Workshops, 2011)

Essential Terrestrial Variable data workflows for distributed water resources modeling. - Lorne Leonard; Christopher J. Duffy (Environ. Model. Softw., 2013)

Parameterization for distributed watershed modeling using national data and evolutionary algorithm. - Xuan Yu; Gopal Bhatt; Christopher J. Duffy; Yuning Shi (Comput. Geosci., 2013)

A tightly coupled GIS and distributed hydrologic modeling framework. - Gopal Bhatt; Mukesh Kumar 002; Christopher J. Duffy (Environ. Model. Softw., 2014)

Automating data-model workflows at a level 12 HUC scale: Watershed modeling in a distributed computing environment. - Lorne Leonard; Christopher J. Duffy (Environ. Model. Softw., 2014)

A Task-Centered Framework for Computationally-Grounded Science Collaborations. - Yolanda Gil; Felix Michel; Varun Ratnakar; Matheus Hauder; Christopher J. Duffy; Hilary Dugan; Paul C. Hanson (e-Science, 2015)

Supporting Open Collaboration in Science Through Explicit and Linked Semantic Description of Processes. - Yolanda Gil; Felix Michel; Varun Ratnakar; Jordan S. Read; Matheus Hauder; Christopher J. Duffy; Paul C. Hanson; Hilary Dugan (ESWC, 2015)

Visualization workflows for level-12 HUC scales: Towards an expert system for watershed analysis in a distributed computing environment. - Lorne Leonard; Christopher J. Duffy (Environ. Model. Softw., 2016)

Fully-coupled hydrologic processes for modeling landscape evolution. - Yu Zhang 074; Rudy Slingerland; Christopher J. Duffy (Environ. Model. Softw., 2016)

Hydrological model uncertainty due to spatial evapotranspiration estimation methods. - Xuan Yu; Anna Lamacová; Christopher J. Duffy; Pavel Krám; Jakub Hruska (Comput. Geosci., 2016)

Cyber-Innovated Watershed Research at the Shale Hills Critical Zone Observatory. - Xuan Yu; Christopher J. Duffy; Yolanda Gil; Lorne Leonard; Gopal Bhatt; Evan Thomas (IEEE Syst. J., 2016)

Tuning Heterogeneous Computing Platforms for Large-Scale Hydrology Data Management. - Lorne Leonard; Kamesh Madduri; Christopher J. Duffy (IEEE Trans. Parallel Distributed Syst., 2016)

An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. - Daniel Garijo; Deborah Khider; Varun Ratnakar; Yolanda Gil; Ewa Deelman; Rafael Ferreira da Silva; Craig A. Knoblock; Yao-Yi Chiang; Minh Pham 004; Jay Pujara; Binh Vu; Dan Feldman; et al. (IUI Companion, 2019)

A coupled surface-subsurface hydrologic model to assess groundwater flood risk spatially and temporally. - Xuan Yu; Daniel Moraetis; Nikolaos P. Nikolaidis; Bailing Li; Christopher J. Duffy; Bingjun Liu (Environ. Model. Softw., 2019)

Physics Guided Machine Learning Methods for Hydrology. - Ankush Khandelwal; Shaoming Xu; Xiang Li; Xiaowei Jia; Michael S. Steinbach; Christopher J. Duffy; John Nieber; Vipin Kumar 001 (CoRR, 2020)

Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. - Rahul Ghosh; Arvind Renganathan; Ankush Khandelwal; Xiaowei Jia; Xiang Li; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (CoRR, 2021)

Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. - Yolanda Gil; Daniel Garijo; Deborah Khider; Craig A. Knoblock; Varun Ratnakar; Maximiliano Osorio; Hernán Vargas; Minh Pham 004; Jay Pujara; Basel Shbita; Binh Vu; Yao-Yi Chiang; et al. (ACM Trans. Interact. Intell. Syst., 2021)

Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. - Rahul Ghosh; Arvind Renganathan; Kshitij Tayal; Xiang Li; Ankush Khandelwal; Xiaowei Jia; Christopher J. Duffy; John Nieber; Vipin Kumar 001 (KDD, 2022)

Probabilistic Inverse Modeling: An Application in Hydrology. - Somya Sharma; Rahul Ghosh; Arvind Renganathan; Xiang Li; Snigdhansu Chatterjee; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (SDM, 2023)

Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. - Shaoming Xu; Ankush Khandelwal; Xiang Li; Xiaowei Jia; Licheng Liu; Jared Willard; Rahul Ghosh; Kelly Cutler; Michael S. Steinbach; Christopher J. Duffy; John Nieber; Vipin Kumar 001 (SDM, 2023)

Uncertainty Quantification in Inverse Models in Hydrology. - Somya Sharma Chatterjee; Rahul Ghosh; Arvind Renganathan; Xiang Li; Snigdhansu Chatterjee; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (CoRR, 2023)

Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. - Rahul Ghosh; Arvind Renganathan; Wallace McAliley; Michael S. Steinbach; Christopher J. Duffy; Vipin Kumar 001 (SDM, 2024)

Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems. - Rahul Ghosh; Zac McEachran; Arvind Renganathan; Kelly Lindsay; Somya Sharma Chatterjee; Michael S. Steinbach; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (CoRR, 2024)