Jitendra Kumar

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 17

Top Topics

Geospatial Data

Detecting Outliers

Convolutional Neural Networks

Remotely Sensed

Top Venues

Publications

Bharat Sharma, Jitendra Kumar, Auroop R. Ganguly, Forrest M. Hoffman
Using Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes. ICDM (Workshops) (2022)
Ranjeet Devarakonda, Jitendra Kumar, Giri Prakash
Clustering-Based Predictive Analytics to Improve Scientific Data Discovery. IEEE BigData (2020)
David J. Durden, Stefan Metzger, Housen Chu, Nathan Collier, Kenneth J. Davis, Ankur R. Desai, Jitendra Kumar, William R. Wieder, Min Xu, Forrest M. Hoffman
Automated Integration of Continental-Scale Observations in Near-Real Time for Simulation and Analysis of Biosphere-Atmosphere Interactions. SMC (2020)
Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman
Deep Transfer Learning With Field-Based Measurements for Large Area Classification. ICDM Workshops (2019)
Yuping Lu, Jitendra Kumar
Convolutional Neural Networks for Hydrometeor Classification using Dual Polarization Doppler Radars. ICDM Workshops (2019)
Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman, Amy L. Breen, Colleen M. Iversen
Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks. Remote. Sens. 11 (1) (2019)
Ranjeet Devarakonda, Giri Prakash, Kavya Guntupally, Jitendra Kumar
Big Federal Data Centers Implementing FAIR Data Principles: ARM Data Center Example. IEEE BigData (2019)
Jitendra Kumar, Michael C. Crow, Ranjeet Devarakonda, Michael Giansiracusa, Kavya Guntupally, Joseph V. Olatt, Zach Price, Harold A. Shanafield, Alka Singh
Provenance-aware workflow for data quality management and improvement for large continuous scientific data streams. IEEE BigData (2019)
Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman
Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets. ICDM Workshops (2018)
Ranjeet Devarakonda, Michael Giansiracusa, Jitendra Kumar
Machine Learning and Social Media to Mine and Disseminate Big Scientific Data. IEEE BigData (2018)
Richard Tran Mills, Vamsi Sripathi, Jitendra Kumar, Sarat Sreepathi, Forrest M. Hoffman, William W. Hargrove
Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures. ICDM Workshops (2018)
Yuping Lu, Jitendra Kumar, Nathan Collier, Bhargavi Krishna, Michael A. Langston
Detecting Outliers in Streaming Time Series Data from ARM Distributed Sensors. ICDM Workshops (2018)
Ranjeet Devarakonda, Michael Giansiracusa, Jitendra Kumar, Harold Shanafield
Social media based NPL system to find and retrieve ARM data: Concept paper. IEEE BigData (2017)
Sarat Sreepathi, Jitendra Kumar, Richard Tran Mills, Forrest M. Hoffman, Vamsi Sripathi, William W. Hargrove
Parallel Multivariate Spatio-Temporal Clustering of Large Ecological Datasets on Hybrid Supercomputers. CLUSTER (2017)
Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman
Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion. ICDM Workshops (2017)
Giri Prakash, Jitendra Kumar, Everett Neil Rush, Robert Records, Anthony Clodfelter, Jimmy W. Voyles
HPC infrastructure to support the next-generation ARM facility data operations. IEEE BigData (2016)
Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman, Richard J. Norby, Stan D. Wullschleger, Victoria L. Sloan, Colleen M. Iversen
Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets. Remote. Sens. 8 (9) (2016)
Jitendra Kumar, Jon Weiner, William W. Hargrove, Steven P. Norman, Forrest M. Hoffman, Doug Newcomb
Characterization and Classification of Vegetation Canopy Structure and Distribution within the Great Smoky Mountains National Park Using LiDAR. ICDM Workshops (2015)
Richard Tran Mills, Jitendra Kumar, Forrest M. Hoffman, William W. Hargrove, Joseph P. Spruce, Steven P. Norman
Identification and Visualization of Dominant Patterns and Anomalies in Remotely Sensed Vegetation Phenology Using a Parallel Tool for Principal Components Analysis. ICCS (2013)
Jitendra Kumar, Bjørn-Gustaf J. Brooks, Peter E. Thornton, Michael C. Dietze
Sub-daily Statistical Downscaling of Meteorological Variables Using Neural Networks. ICCS (2012)
Richard Tran Mills, Forrest M. Hoffman, Jitendra Kumar, William W. Hargrove
Cluster Analysis-Based Approaches for Geospatiotemporal Data Mining of Massive Data Sets for Identification of Forest Threats. ICCS (2011)
Forrest M. Hoffman, J. Walter Larson, Richard Tran Mills, Bjørn-Gustaf J. Brooks, Auroop R. Ganguly, William W. Hargrove, Jian Huang, Jitendra Kumar, Ranga Raju Vatsavai
Data Mining in Earth System Science (DMESS 2011). ICCS (2011)
Jitendra Kumar, Richard Tran Mills, Forrest M. Hoffman, William W. Hargrove
Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets. ICCS (2011)
Forrest M. Hoffman, Richard Tran Mills, Jitendra Kumar, Srinivasa S. Vulli, William W. Hargrove
Geospatiotemporal data mining in an early warning system for forest threats in the United States. IGARSS (2010)