Geospatiotemporal data mining in an early warning system for forest threats in the United States. - Forrest M. Hoffman; Richard Tran Mills; Jitendra Kumar 001; Srinivasa S. Vulli; William W. Hargrove (IGARSS, 2010)

Data Mining in Earth System Science (DMESS 2011). - Forrest M. Hoffman; Jay Walter Larson; Richard Tran Mills; Bjørn-Gustaf J. Brooks; Auroop R. Ganguly; William W. Hargrove; Jian Huang 007; Jitendra Kumar 001; Ranga Raju Vatsavai (ICCS, 2011)

Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets. - Jitendra Kumar 001; Richard Tran Mills; Forrest M. Hoffman; William W. Hargrove (ICCS, 2011)

Cluster Analysis-Based Approaches for Geospatiotemporal Data Mining of Massive Data Sets for Identification of Forest Threats. - Richard Tran Mills; Forrest M. Hoffman; Jitendra Kumar 001; William W. Hargrove (ICCS, 2011)

Sub-daily Statistical Downscaling of Meteorological Variables Using Neural Networks. - Jitendra Kumar 001; Bjørn-Gustaf J. Brooks; Peter E. Thornton; Michael C. Dietze (ICCS, 2012)

Identification and Visualization of Dominant Patterns and Anomalies in Remotely Sensed Vegetation Phenology Using a Parallel Tool for Principal Components Analysis. - Richard Tran Mills; Jitendra Kumar 001; Forrest M. Hoffman; William W. Hargrove; Joseph P. Spruce; Steven P. Norman (ICCS, 2013)

Characterization and Classification of Vegetation Canopy Structure and Distribution within the Great Smoky Mountains National Park Using LiDAR. - Jitendra Kumar 001; Jon Weiner; William W. Hargrove; Steven P. Norman; Forrest M. Hoffman; Doug Newcomb (ICDM Workshops, 2015)

HPC infrastructure to support the next-generation ARM facility data operations. - Giri Prakash; Jitendra Kumar 001; Everett Neil Rush; Robert Records; Anthony Clodfelter; Jimmy W. Voyles (IEEE BigData, 2016)

Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets. - Zachary L. Langford; Jitendra Kumar 001; Forrest M. Hoffman; Richard J. Norby; Stan D. Wullschleger; Victoria L. Sloan; Colleen M. Iversen (Remote. Sens., 2016)

Social media based NPL system to find and retrieve ARM data: Concept paper. - Ranjeet Devarakonda; Michael Giansiracusa; Jitendra Kumar 001; Harold Shanafield (IEEE BigData, 2017)

Parallel Multivariate Spatio-Temporal Clustering of Large Ecological Datasets on Hybrid Supercomputers. - Sarat Sreepathi; Jitendra Kumar 001; Richard Tran Mills; Forrest M. Hoffman; Vamsi Sripathi; William W. Hargrove (CLUSTER, 2017)

Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion. - Zachary L. Langford; Jitendra Kumar 001; Forrest M. Hoffman (ICDM Workshops, 2017)

Machine Learning and Social Media to Mine and Disseminate Big Scientific Data. - Ranjeet Devarakonda; Michael Giansiracusa; Jitendra Kumar 001 (IEEE BigData, 2018)

Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets. - Zachary L. Langford; Jitendra Kumar 001; Forrest M. Hoffman (ICDM Workshops, 2018)

Detecting Outliers in Streaming Time Series Data from ARM Distributed Sensors. - Yuping Lu; Jitendra Kumar 001; Nathan Collier; Bhargavi Krishna; Michael A. Langston (ICDM Workshops, 2018)

Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures. - Richard Tran Mills; Vamsi Sripathi; Jitendra Kumar 001; Sarat Sreepathi; Forrest M. Hoffman; William W. Hargrove (ICDM Workshops, 2018)

Big Federal Data Centers Implementing FAIR Data Principles: ARM Data Center Example. - Ranjeet Devarakonda; Giri Prakash; Kavya Guntupally; Jitendra Kumar 001 (IEEE BigData, 2019)

Provenance-aware workflow for data quality management and improvement for large continuous scientific data streams. - Jitendra Kumar 001; Michael C. Crow; Ranjeet Devarakonda; Michael Giansiracusa; Kavya Guntupally; Joseph V. Olatt; Zach Price; Harold A. Shanafield; Alka Singh (IEEE BigData, 2019)

Deep Transfer Learning With Field-Based Measurements for Large Area Classification. - Zachary L. Langford; Jitendra Kumar 001; Forrest M. Hoffman (ICDM Workshops, 2019)

Convolutional Neural Networks for Hydrometeor Classification using Dual Polarization Doppler Radars. - Yuping Lu; Jitendra Kumar 001 (ICDM Workshops, 2019)

Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks. - Zachary L. Langford; Jitendra Kumar 001; Forrest M. Hoffman; Amy L. Breen; Colleen M. Iversen (Remote. Sens., 2019)

Clustering-Based Predictive Analytics to Improve Scientific Data Discovery. - Ranjeet Devarakonda; Jitendra Kumar 001; Giri Prakash (IEEE BigData, 2020)

Automated Integration of Continental-Scale Observations in Near-Real Time for Simulation and Analysis of Biosphere-Atmosphere Interactions. - David J. Durden; Stefan Metzger; Housen Chu; Nathan Collier; Kenneth J. Davis; Ankur R. Desai; Jitendra Kumar 001; William R. Wieder; Min Xu 004; Forrest M. Hoffman (SMC, 2020)

Using Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes. - Bharat Sharma; Jitendra Kumar 001; Auroop R. Ganguly; Forrest M. Hoffman (ICDM (Workshops), 2022)

Forecast of Wildfire Potential Across California USA Using a Transformer. - Russell Limber; William W. Hargrove; Forrest M. Hoffman; Jitendra Kumar 001 (IEEE Big Data, 2024)

Enhancing Photosynthesis Simulation Performance in ESMs with Machine Learning-Assisted Solvers. - Elias C. Massoud; Nathan Collier; Bharat Sharma; Jitendra Kumar 001; Forrest M. Hoffman (IEEE Big Data, 2024)