2018

Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns
G. Nayak , V. Mithal , X. Jia , and V. Kumar
Proceedings of the 2018 SIAM International Conference on Data Mining, May 2018, doi:10.1137/1.9781611975321.29 (link)

Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework
V. Mithal , G. Nayak , A. Khandelwal , V. Kumar , R. Nemani , and N. Oza
Remote Sensing 2018, 10(1), 69; doi:10.3390/rs10010069 (link)

A cautionary note on decadal sea level pressure predictions from GCMs
S. Liess , P. Snyder , A. Kumar , and V. Kumar
Advances in Climate Change Research Volume 9, Issue 1, March 2018, Pages 43-56, doi:10.1016/j.accre.2018.02.002 (link)

2017

Predict land covers with transition modeling and incremental learning
X. Jia , A. Khandelwal , G. Nayak , J. Gerber , K. Carlson , P. West , and V. Kumar
Proceedings of the 2017 SIAM International Conference on Data Mining, pp. 171-179. Society for Industrial and Applied Mathematics, 2017 (link)

Incremental Dual-memory LSTM in Land Cover Prediction
X. Jia , A. Khandelwal , G. Nayak , J. Gerber , K. Carlson , P. West , and V. Kumar
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 867-876. ACM, 2017 (link)

Joint Sparse Auto-encoder: A Semi-supervised Spatio-temporal Approach in Mapping Large-scale Croplands
X. Jia , A. Khandelwal , A. Karpatne , and V. Kumar
Big Data (Big Data), 2017 IEEE International Conference on. IEEE, 2017 (link)

An approach for global monitoring of surface water extent variations in reservoirs using MODIS data
A. Khandelwal , A. Karpatne , M.E. Marlier , J. Kim , D.P. Lettenmaier , and V. Kumar
Remote Sensing of Environment (2017) (link)

RAPT: Rare Class Prediction in Absence of True Labels
V. Mithal , G. Nayak , A. Khandelwal , V. Kumar , N. Oza , and R. Nemani
IEEE Transactions on Knowledge and Data Engineering 29, no. 11 (2017): 2484-2497 (link)

Monitoring Dynamics of Water Bodies at Global Scale using Remote Sensing Data: Opportunities, Challenges and New Research Directions
A. Khandelwal, A. Karpatne, and V. Kumar
Workshop on Mining Big Data in Climate and Environment (MBDCE 2017), 17th SIAM International Conference on Data Mining (SDM 2017) (link)

Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data
A. Karpatne , G. Atluri , J. Faghmous , M. Steinbach , A. Banerjee , A. Ganguly , S. Shekhar , N. Samatova , and V. Kumar
IEEE Transactions on Knowledge and Data Engineering. PP (99) (link)

DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution
T. Vandal, E. Kodra, S. Ganguly, A. Michaelis, R. Nemani, and A. Ganguly
2017 (link)

Intercomparison of Machine Learning Methods for Statistical Downscaling: The Case of Daily and Extreme Precipitation
T. Vandal, E. Kodra, and A. Ganguly
2017 (link)

Recommendation under Capacity Constraints
K. Christakopoulou, A. Banerjee, and J. Kawale
2017 (link)

Spatial Projection of Multiple Climate Variables using Hierarchical Multitask Learning
A. Goncalves, A. Banerjee, and F. Von Zuben
The 31st AAAI Conference on Artificial Intelligence (AAAI-17) (link)

The Nexus of Food, Energy, and Water Resources: Visions and Challenges in Spatial Computing
E. Eftelioglu, Z. Jiang, X. Tang, and S. Shekhar
Advances in Geocomputation, pp 5-20, 2017 (link)

Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability
Y. Xie, K. Yang, S. Shekhar, B. Dalzell, and D. Mulla
2017 (link)

A Teleconnection between the West Siberian Plain and the ENSO Region
S. Liess, S. Agrawal, S. Chatterjee, and V. Kumar
Journal of Climate, Volume 30, Issue 1, pp. 301-315. 2017 (link)

Enumerating all maximal biclusters in numerical datasets
R. Veroneze, A. Banerjee, and F. Von Zuben
Information Sciences, Volume 379, pp. 288-309. 2017 (link)

2016

Learning large-scale plantation mapping from imperfect annotators
X. Jia, A. Khandelwal, J. Gerber, K. Carlson, P. West, and V. Kumar
2016 IEEE International Conference on Big Data (Big Data) (link)

Identifying dynamic changes with noisy labels in spatial-temporal data: A study on large-scale water monitoring application
X. Jia, X. Chen, A. Karpatne, and V. Kumar
2016 IEEE International Conference on Big Data (Big Data) (link)

Parallel Implementation of Lossy Data Compression for Temporal Data Sets
Z. Yuan, A. Agrawal, A. Choudhary, W. Liao, W. Hendrix, S. Son, and C. Federrath
The 23rd International Conference on High Performance Computing, December 2016 (link)

Evaluation of K-Means Data Clustering Algorithm on Intel Xeon Phi
S. Lee, A. Agrawal, A. Choudhary, W. Liao, and N. Hardavellas
Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery, held in conjunction with the IEEE Bigdata Conference, December 2016 (link)

Reducing I/O variability using dynamic I/O path characterization in petascale storage systems
S. Son, S. Sehrish, A. Choudhary, W. Liao, and R. Oldfield
The Journal of Supercomputing, pp 1-29, 2016 (link)

A Novel Scalable DBSCAN Algorithm with Spark
D. Han, A. Agrawal, A. Choudhary, and W. Liao
Parallel and Distributed Processing Symposium Workshops, pp 1393-1402, 2016 (link)

Identifying hotspots in five year survival electronic health records of older adults
J. Mathias, A. Agrawal, A. Choudhary, and D. Baker
Computational Advances in Bio and Medical Sciences (ICCABS), pp 1-6, 2016 (link)

A Filtering-based Clustering Algorithm for Improving Spatio-temporal Kriging Interpolation Accuracy
W. Liao, A. Agrawal, A. Choudhary, and Q. Kang
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, pp 2209-2214, 2016 (link)

Mining Network Hotspots with Holes: A Summary of Results
E. Eftelioglu, Y. Li, X. Tang, J. Kang, S. Shekhar, and C. Farah
International Conference on Geographic Information Science, pp 51-67, 2016 (link)

Supply-demand ratio and on-demand spatial service brokers: a summary of results
E. Eftelioglu, R. Ali, E. Marsman, S. Athavale, and S. Shekhar
Proceedings of the 9th ACM SIGSPATIAL International Workshop on Computational Transportation Science, pp 7-12, 2016 (link)

Significant Linear Hotspot Discovery
E. Eftelioglu, X. Tang, D. Oliver, and S. Shekhar
2016 (link)

Ring-Shaped Hotspot Detection
E. Eftelioglu, C. Farah, J. Kang, and S. Shekhar
IEEE Transactions on Knowledge and Data Engineering, Volume 28, Issue 12, pp 3367-3381, 2016 (link)

High Dimensional Structured Estimation with Noisy Designs
S. Chaterjee and A. Banerjee
Proceedings of the 2016 SIAM International Conference on Data Mining, pp 801-809, 2016. (link)

Mapping Burned Areas in Tropical forests using MODIS data
V. Mithal, G. Nayak, A. Khandelwal, R. Nemani, V. Kumar, and N. Oza
September 2016. (pdf)

The Matrix Generalized Inverse Gaussian Distribution: Properties and Applications
F. Fazayeli and A. Banerjee
The European Conference on Machine Learning, 2016. (pdf)

Generalized Direct Change Estimation in Ising Model Structure
F. Fazayeli and A. Banerjee
The 33rd International Conference on Machine Learning, 2016. (pdf)

Alternating Estimation for Structured High-Dimensional Multi-Response Models
S. Chen and A. Banerjee
June 2016. (pdf)

A General Framework to Increase the Robustness of Model-based Change Point Detection Algorithms to Outliers and Noise
X. Chen, Y. Yao, S. Shi, V. Kumar, S. Chatterjee, and J. Faghmous
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016. (link)

A Scalable Approach for Outlier Detection in Edge Streams Using Sketch-based Approximations
S. Ranshous, S. Harenberg, K. Sharma, and N. Samatova
International Conference on Data Mining (SDM) 2016, May 2016. (pdf)

Knowledge-Guided Maximal Clique Enumeration
G. Bello, S. Harenberg, P. Doraiswamy, R. Seay, R. Chirkova, and N. Samatova
International Conference on Advanced Data Mining and Applications (ADMA) 2016. (link)

Community Detection in Dynamic Attributed Graphs
G. Bello, S. Harenberg, A. Agrawal, and N. Samatova
International Conference on Advanced Data Mining and Applications (ADMA) 2016. (link)

Causality-Guided Feature Selection
M. Chaudhary, D. Gonzalez II, G. Bello, M. Angus, D. Desai, S. Harenberg, P. Doraiswamy, F. Semazzi, V. Kumar, and N. Samatova
International Conference on Advanced Data Mining and Applications (ADMA) 2016. (link)

A Sparse Recurrent Neural Network for Trajectory Prediction of Atlantic Hurricanes
M. Kordmahalleh, M. Sefidmazgi, and A. Homaifar
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 957-964. (link)

Spatial Ensemble Learning for Geographical Data with Class Ambiguity
Y. Li, Z. Jiang, L. Rampi, S. Shekhar, and J. Knight
IEEE International Conference on Data Mining 2016. (Submitted)

Monitoring Land-Cover Changes: A Machine-Learning Perspective
A. Karpatne, Z. Jiang, R. Vatsavai, S. Shekhar, and V. Kumar
IEEE Geoscience and Remote Sensing Magazine 4(2): 8-21. 2016. (pdf)

AGORAS: A Fast Algorithm for Estimating Medoids in Large Datasets
E. Rangel, W. Hendrix, W. Liao, A. Agrawal, and A. Choudhary
The Workshop on Computational Optimization, Modeling and Simulation, June 2016. (link)

Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication
D. Palsetia, W. Hendrix, S. Lee, W. Liao, A. Agrawal, and A. Choudhary
The 31st International Supercomputing Conference, June 2016. (link)

Silverback+: Scalable Association Mining Via Fast List Intersection For Columnar Social Data
Y. Xie, Z. Chen, D. Palsetia, G. Trajcevski, A. Agrawal, and A. Choudhary
Knowledge and Information Systems (KAIS), 2016. (link)

Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information
Y. Cheng, H. Liu, A. Agrawal, and A. Choudhary
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2016. (link)

Beating the Artificial Chaos: Fighting OSN Spam using Its Own Templates
T. Zhu, H. Gao, Y. Yang, K. Bu, Y. Chen, D. Downey, K. Lee, and A. Choudhary
IEEE/ACM Transactions of Networking (pdf)

Stable Gene Regulatory Network Modeling From Steady-State Data
J. Larvie, M. Sefidmazgi, A. Homaifar, S. Harrison, A. Karimoddini, and A. Guiseppi-Elie
Bioengineering, Volume 3, Issue 2, pp12, Multidisciplinary Digital Publishing Institute (link)

Structured Matrix Recovery via the Generalized Dantzig Selector
S. Chen and A. Banerjee
April 2016. (pdf)

Spatial Computing Perspective on Food Energy and Water Nexus
E. Eftelioglu, Z. Jiang, S. Shekhar, and R. Ali
Journal of Environmental Studies and Sciences, Volume 6, Issue 1, pp62-76, March 2016 (link)

Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems
I. Melnyk, B. Matthews, H. Valizadegan, A. Banerjee, and N. Oza
Aerospace Information Systems, pp161-173, March 2016. (link)

Estimating Structured Vector Autoregressive Model
I. Melnyk and A. Banerjee
February 2016. (pdf)

Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection
I. Melnyk, A. Banerjee, B. Matthews, and N. Oza
February 2016. (pdf)

Multi-task Sparse Structure Learning with Gaussian Copula Models
A. Goncalves, A. Banerjee, and F. Von Zuben
Machine Learning Research, Volume 17, Issue 33, pp1-30, 2016. (pdf)

Characterizing climate predictability and model response variability from multiple initial condition and multi-model ensembles
D. Kumar and AR. Ganguly
Sustainability and Data Sciences Laboratory, Boston, MA. January 18, 2016. (pdf)

Global monitoring of inland water dynamics: State-of-the-art, challenges, and opportunities
A. Karpatne, A. Khandelwal, X. Chen, V. Mithal, J.H. Faghmous, and V. Kumar
K. Morik, J. Lässig, and K. Kersting, Eds. Computational Sustainability, Springer. 2016. (link)

Full Access Exploring the Predictability of 30-Day Extreme Precipitation Occurence using a Global SST-SLP Correlation Network
M. Lu, U. Lall, J. Kawale, S. Liess, and V. Kumar
February 2016. (link)

Spatial computing
S. Shekhar, S. Feiner, and W. Aref
Communications of the ACM, Volume 59, Issue 1, pp 72-81, January 2016. (link)

Robustness of Meteorological Droughts in Dynamically Downscaled Climate Simulations
P. Ganguli and A. Ganguly
JAWRA Journal of the American Water Resources Association, Volume 52, Issue 1, pp 138-167, February 2016. (link)

2015

Evaluation of Global Climate Models Based on Global Impacts of ENSO
S. Agrawal, T. Rehberger, S. Liess, G. Atluri, and V. Kumar
Machine Learning and Data Mining Approaches to Climate Science, Springer pp 101-109. 2015. (link)

Estimation with Norm Regularization
F. Fazayeli, S. Chen, V. Sivakumar, and A. Banerjee
Advances in Neural Information Processing Systems 27 (NIPS 2014). (pdf)

Computing and Climate
J. Faghmous, V. Kumar, and S. Shekhar
Computing in Science and Engineering 17(6): 6-8, 2015 (link)

A Scalable Hierarchical Clustering Algorithm Using Spark
C. Jin, R. Liu, Z. Chen, and W. Hendrix
2015 IEEE First International Conference on Big Data Computing Service and Applications (BigDataService), pp418-426, April 2015 (link)

Incremental, distributed single-linkage hierarchical clustering algorithm using mapreduce
C. Jin, Z. Chen, W. Hendrix, A. Choudhary, and A. Agrawal
Proceedings of the Symposium on High Performance Computing, pp83-92, 2015 (link)

Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization
R. Liu, A. Agrawal, W. Liao, and A. Choudhary
2015 Eighth International Conference on Contemporary Computing (IC3), pp13-18, August 2015 (link)

Mining Social Media Streams to Improve Public Health Allergy Surveillance
K. Lee, A. Agrawal, and A. Choudhary
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, pp815-822 (link)

Climate Adaptation Informatics: Water Stress on Power Production
P. Ganguli, D. Kumar, G. Short, and A. Ganguly
Computing in Science and Engineering. 17, 53, 2015 (link)

Network Science Based Quantification of Resilience Demonstrated on the Indian Railways Network
U. Bhatia, D. Kumar, E. Kodra, and A. Ganguly
November 4, 2015 (link)

Space-time Trends in U.S. Meteorological Droughts
P. Ganguli and A. Ganguly
December 23, 2015 (link)

A Bilevel Parameter Tuning Strategy of Partially Connected ANNs
M. Kordmahalleh, M. Sefidmazgi, and A. Homaifar
2015 IEEE 14th International (link)

Automated mapping of land cover using sequences of aerial imagery
S. Boriah, A. Khandelwal, V. Mithal, V. Kumar, and K. Steinhaeuser
February 2015 (link)

Tripoles: A New Class of Climate Teleconnections
G. Atluri, S. Agrawal, S. Liess, V. Kumar, and S. Chatterjee
November 2015 (pdf)

Fast and Robust Supervised Learning in High Dimensions Using the Geometry of the Data
U. Mukheree, S. Majumdar, and S. Chatterjee
Advances in Data Mining: Applications and Theoretical Aspects, Volume 9165 of the series Lecture Notes in Computer Science pp 109-123 (link)

Online Resource Allocation with Structured Diversification
N. Johnson and A. Banerjee
Proceedings of the 2015 SIAM International Conference on Data Mining (link)

One-bit Compressed Sensing with the k-Support Norm
S. Cheng and A. Banerjee
Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS), Volume 38, 2015 (pdf)

Structured Estimation with Atomic Norms: General Bounds and Applications
S. Cheng and A. Banerjee
Advances in Neural Information Processing Systems 28 (NIPS 2015). (link)

Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs
V. Sivakumar, P. Ravikumar, and A. Banerjee
Advances in Neural Information Processing Systems 28 (NIPS 2015). (link)

Unified View of Matrix Completion under General Structural Constraints
S. Gunasekar, J. Ghosh, and A. Banerjee
Advances in Neural Information Processing Systems 28 (NIPS 2015). (link)

Multi-Label Structure Learning with Ising Model Selection
A. Goncales, F. Von Zuben, and A. Banerjee
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015). (pdf)

PLUMS: Predicting Links Using Multiple Sources
A. Banerjee, K. Subbian, and S. Basu
Proceedings of the 2015 SIAM International Conference on Data Mining, pp9, 2015. (link)

Accelerated Alternating Direction Method of Multipliers
M. Kadkhodaie, K. Christakopoulou, and M. Sanjabi
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp497-506, 2015. (link)

Structured Hedging for Resource Allocations with Leverage
N. Johnson and A. Banerjee
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp477-486, 2015. (link)

A Multi-Task Learning View on Earth System Model Ensemble
A. Goncalves, F. Von Zuben, and A. Banerjee
IEEE Computer Society, Volume 17, pp35-42, December, 2015. (pdf)

BHPMF - a hierarchical Bayesian approach to gap-filling and trait prediction for macroecology and functional biogeography
F. Schrodt, J. Kattge, H. Shan, F. Fazayeli, J. Joswig, A. Banerjee, M. Reichstein, G. Bonisch, S. Diaz, J. Dickie, A. Gillison, A. Karpatne, S. Lavorel, P. Leadley, C. Wirth, and P. Reich
Global Ecology and Biogeography, 24: 1510-1521, 2015 (link)

A Spatio-Temporally Opportunistic Approach to Best-Start-Time Lagrangian Shortest Path
S. Ramnath, Z. Jiang, S. Shekhar, H. Wu, and V. Gunturi
Advances in Spatio-Temporal Data Analysis and Mining, Volume 9239, pp274-291, Springer, August 13, 2015. (link)

Discovering Non-compliant Window Co-Occurrence Patterns: A Summary of Results
R. Ali, W. Northrop, S. Shekhar, A. Kotz, and V. Gunturi
Advances in Spatio-Temporal Data Analysis and Mining, Volume 9239, pp391-410, Springer, August 13, 2015. (link)

Spatiotemporal Data Mining: A Computational Perspective
Z. Jiang, R. Ali, S. Shekhar, E. Eftelioglu, X. Tang, V. Gunturi, and X. Zhao
Advances in Spatio-Temporal Data Analysis and Mining, October 28, 2015. (link)

Geographically Robust Hotspot Detection: A Summary of Results
E. Etelioglu, X. Tang, and S. Shekhar
IEEE International Conference on Data Mining Workshop (ICDMW), pp1447-1456 November 14-17, 2015. (link)

Unsupervised Method for Water Surface Extent Monitoring Using Remote Sensing Data
X. Chen, A. Khandelwal, S. Shi, J. Faghmous, S. Boriah, and V. Kumar
Machine Learning and Data Mining Approaches to Climate Science, Springer pp 51-58. 2015. (link)

Evaluation of Global Climate Models Based on Global Impacts of ENSO
S. Agrawal, T. Rehberger, S. Liess, G. Atluri, and V. Kumar
Machine Learning and Data Mining Approaches to Climate Science, Springer pp 101-109. 2015. (link)

A Daily Global Mesoscale Ocean Eddy Dataset from Satellite Altimetry
J. H. Faghmous, I. Frenger, Y. Yao, R. Warmka, A. Lindell, and V. Kumar
Scientific Data, Nature Publishing Group, 2. 2015. (link)

Identifying Developing Cloud Clusters Using Predictive Features
C. W. Lacewell and A. Homaifar
Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the 4th International Workshop on Climate Informatics, pp. 217-225. Springer. 2015. (link)

Change Detection in Climate Time Series Based on Bounded-Variation Clustering
M. Gorji-Sefidmazgi, M. M. Kordmahalleh, A. Homaifar, and S. Liess
Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the 4th International Workshop on Climate Informatics, pp. 185-194. Springer. 2015. (link)

Spatiotemporal Change Pattern Mining: A Multi-disciplinary Perspective.
X. Zhou, S. Shekhar, and P. Mohan
Space-Time Integration in Geography and GIScience: Research Frontiers in the US and China, XII(412): pp. 301-326. Springer. 2015. (link)

Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances
A. Khandelwal, V. Mithal, and V. Kumar
International Conference on Data Mining (ICDM 2015), Atlantic City, NJ. November 14-17, 2015. (pdf)

The Relationship between the Pacific-North American Teleconnection Pattern, the Great Plains Low-Level Jet, and North Central U.S. heavy rainfall events
K. J. Harding and P. K. Snyder
Journal of Climate, 28, pp. 6729-6742. September 2015. (link)

Adaptive Heterogeneous Ensemble Learning Using the Context of Test Instances.
A. Karpatne and V. Kumar
International Conference on Data Mining (ICDM 2015), Atlantic City, NJ. November 14-17, 2015. (pdf)

Online change point detection for remote sensing time series
X. Chen, Y. Yao, S. Shi, V. Kumar, and J. Faghmous
Fifth International Workshop on Climate Informatics, Boulder, CO. September 24- 25, 2015. (pdf)

Understanding Dominant Factors for Precipitation over the Great Lakes Region
S. Chatterjee, V. Kumar, A. Banerjee, and S. Liess
5th International Workshop on Climate Informatics, September 24-25 2015. (pdf)

Hurricane Trajectory Prediction Via Sparse Recurrent Neural Network.
M. M. Kordmahalleh, M. Gorji Sefidmazgi, and A. Homaifar
Fifth International Workshop on Climate Informatics, Boulder, CO. September 24- 25, 2015. (pdf)

Exploring Memory Hierarchy to Improve Scientific Data Read Performance
W. Zhang, H. Tang, X. Zou, S. Harenberg, Q. Liu, S. Klasky, and N. F. Samatova
IEEE International Conference on Cluster Computing. Chicago, IL. September 8-11, 2015. (link)

Response-Guided Community Detection: Application to Climate Index Discovery
G. A. Bello, M. Angus, N. Pedemane, J. K. Harlalka, F. H. M. Semazzi, V. Kumar, and N. F. Samatova
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal. September 7-11, 2015. (link)

Generalized Additive Modeling of Nonstationary Extreme Events with Application to Precipitation Extremes in Southeastern United States
N. Agana, M. Gorji-Sefidmazgi, and A. Homaifar
Fifth Annual Workshop on Understanding Climate Change from Data. Minneapolis, MN. August 4-5, 2015. (pdf)

Evaluating wind extremes in CMIP5 climate models.
D. Kumar, A. Mishra, and A. R. Ganguly
Climate Dynamics, Springer: July 2015, 45(1-2), pp. 441-453. (link)

Clustering Dynamic Spatio-Temporal Patterns in the Presence of Noise and Missing Data
X. Chen, J. H. Faghmous, A. Khandelwal, and V. Kumar
24th International Joint Conference on Artificial Intelligence (IJCAI-15). Buenos Aires, Argentina. July 25-31, 2015. (pdf)

Identification of switched models in non-stationary time series based on coordinate-descent and Genetic Algorithm
M. Gorji-Sefidmazgi, M. Kordmahalleh, and A. Homaifar
Conference Companion on Genetic and Evolutionary Computation (GECCO '15), ACM. Madrid, Spain. July 11-15, 2015 (link)

A Bayesian Sparse Generalized Linear Model With an Application to Multiscale Covariate Discovery for Observed Rainfall Extremes Over the United States
D. Das, A. R. Ganguly, and Z. Obradovic
IEEE Transactions on Geoscience and Remote Sensing, 99. July 8, 2015. (link)

Switched linear system identification based on bounded-switching clustering.
M. Gorji-Sefidmazgi, M. Kordmahalleh, A. Homaifar, and Karimoddini
IEEE American Control Conference. Chicago, IL. July 1-3, 2015. (link)

Anomaly Detection in Dynamic Networks: A Survey
S. Ranshous, S. Shen, D. Koutra, S. Harenberg, C. Faloutsos, and N. F. Samatova
WIREs Computational Statistics, 7(3): pp. 223-247. June 2015. (link)

The hyperdyadic index and generalized indexing and query with pique
D. A. Boyuka II, H. Tang, K Bansal, X. Zou, S. Klasky, and N. F. Samatova
International Conference on Scientific and Statistical Database Management (SSDBM). San Diego, CA. June 29-July 1, 2015. (link)

Credibility of statistical downscaling under nonstationary climate
K Salvi, S. Ghosh, and A. R. Ganguly
Climate Dynamics. Published online June 10, 2015. (link)

Parallel In Situ Detection of Connected Components in Adaptive Mesh Refinement Data.
X. Zhou, K. Wu, D. A. Boyuka II, D. F. Martin, S. Byna, H. Tang, K. Bansal, T. J. Ligocki, H. Johansen, and N. F. Samatova
15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 15). Shenzhen, Guangdong, China. May 4-7, 2015. (link)

Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective
C. Jin, Q. Fu, W. Hendrix, Z. Chen, A. Agrawal, W. Liao, A. Choudhary, H. Want, and A. Banerjee
15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid 15). Shenzhen, Guangdon, China. May 4-7, 2015. (link)

Ensemble learning methods for binary classification with multi-modality within the classes.
A. Karpatne, A. Khandelwal, and V. Kumar
Proceedings of the SIAM International Conference on Data Mining (SDM 2015). pp. 730-738. Vancouver, Canada. April 30-May 2, 2015. (pdf)

Analysis of Nonstationary Extreme Events
N. Agana, M. Gorji Sefidmazgi, and A. Homaifar
Proceedings of the 26th Modern AI and Cognitive Science Conference. Greensboro, NC. April 25-26, 2015. (pdf)

Data Driven Approach for the Identification of Cloud Clusters Developing into Tropical Cyclones
C. W. Lacewell, A. Homaifar, Y. L. Lin, and K. Knapp
4th Annual Graduate Research Showcase and Poster Contest, Greensboro, NC. April 23, 2015. (no link available)

Using dynamical downscaling to examine mechanisms contributing to the intensification of Central U.S. heavy rainfall events
K. J. Harding and P. K. Snyder
Journal of Geophysical Research-Atmospheres, 120(7), April 15, 2015. (link)

Intensification and spatial homogenization of coastal upwelling under climate change
D. Wang, T. C. Gouhier, B. A. Menge, and A. Ganguly
Nature. Vol 518: pp. 390-394. February 19, 2015. (link)

Changes in observed climate extremes in global urban areas
V. Mishra, A. R. Ganguly, B. Njissen, and D. P. Lettenmaier
Environment Research Letters 10(2): 10 024005. January 29, 2015. (link)

On the data-driven inference of modulatory networks in climate science: an application to West African rainfall
D. L. González, M. Angus, I. K. Tetteh, G. A. Bello, K. Padmanabhan, S. V. Pendse, S. Srinivas, J. Yu, F. Semazzi, V. Kumar, and N. F. Samatova
Nonlinear Processes in Geophysics Discussions 1: pp. 479-517. January 13, 2015. (link)

2014

Different Modes of Variability over the Tasman Sea: Implications for Regional Climate
S. Liess, A. Kumar, P. Snyder, J. Kawale, K. Steinhaeuser, F. Semazzi, A. Ganguly, N. Samatova, and V. Kumar
Journal of Climate, 27(22): pp. 8466-8486. 2014. (link)

Spatio-temporal Networks: Modeling, Storing, and Querying Temporally-Detailed Roadmaps
M. Evans, K. Yang, V. Gunturi, B. George, and S. Shekhar
Chapter Space-Time Integration in Geography and GIScience, pp. 77-108. Springer, June 20, 2014. (link)

Taking Climate Change by Storm: Theorizing Global and Local Policy-Making in Response to Extreme Weather Events
S. E. Rolland, A. Pimentel, and A. Ganguly
Buffalo Law Review, 62(4): pp. 933-977. 2014. (pdf)

On Bayesian Spatio-Temporal Modeling of Oceonographic Climate Characteristics.
M. Bhattacharjee and S. Chatterjee
Current Trends in Bayesian Methodology with Applications. (link)

Trend analysis using non-stationary time series clustering based on the finite element method.
M. Gorji Sefidmazgi, M. Sayemuzzaman, A. Homaifar, M. K. Jha, and S. Liess
Nonlinear Processes in Geophysics 21, no. 3 (2014): 605-615. (link)

Reliability of Indian Precipitation Extremes from Regional and Global Climate Models
V. Mishra, D. Kumar, A. Ganguly, J. Sanjay, M. Majumdar, R. Krishnan, and R.D. Shah
Journal of Geophysical Research- Atmospheres (2014) (link)

Scalable in situ scientific data encoding for analytical query processing.
S. Lakshminarasimhan, X. Zou, D. A. Boyuka II, S. V. Pendse, J. Jenkins, V. Vishwanath, M. E. Papka, S. Klasky, and N. F. Samatova
Cluster Computing (2014) (link)

A Climate Model Intercomparison at the Dynamics Level.
K. Steinhaeuser and A. A. Tsonis
Climate Dynamics (2014) (link)

A Fay-Herriot type approach for better prediction in multi-indexed response with application to Arctic seawater data analysis
U. Mukerjee and S. Chatterjee
Journal of Indian Society for Agricultural Statistics 2014 (No link available)

Reliability of regional and global climate models to simulate precipitation extremes over India. Journal of Geophysical Research.
V. Mishra, D. Kumar, A. T. Ganguly, J. Sanjay, M. Mujumdar, R. Krishnan, and R. Shah
Journal of Geophysical Research (2014) (link)

Spatiotemporal Change Footprint Pattern Discovery: An Inter-disciplinary Survey.
X. Zhou, S. Shekhar, and R. Y. Ali
Wiley Interdisciplinary Review: Data Mining and Knowledge Discovery (DMKD 2014) (link)

A Fast Set Intersection through Run-time Bitmap Construction over PForDelta-compressed Indexes
X. Zhou, S. Lakshminarasimhan, D. A. Boyuka II, S. Ranshous, H. Tang, S. Klasky, and N. F. Samatova
20th International European Conference on Parallel Processing(EuroPar). Porto, Portugal (link)

Gaussian Copula Precision Estimation with Missing Values
H. Wang , F. Fazayeli , S. Chatterjee, and A. Banerjee
International Conference on Artificial Intelligence and Statistics (AISTATS) (pdf)

Improving Read Performance with Online Access Pattern Analysis and Prefetching
H. Tang , X. Zou , J. Jenkins, D. A. Boyuka II , S. Ranshous, D. Kimpe, S. Klasky , and N. F. Samatova
20th International European Conference on Parallel Processing(EuroPar). Porto, Portugal (link)

Spatiotemporal (ST) Change Pattern Mining: A Multi-disciplinary Perspective
X. Zhou, S. Shekhar, and P. Mohan
Space-Time Integration in Geography and GIScience: Research Frontiers in the US and China. Mei-Po Kwan, Douglas Richardson, Donggen Wang and Chenghu Zhou (eds) Dordrecht: Springer (in Press) (link)

Non-stationary Time Series Clustering with Application to Climate Systems
M. Gorji-Sefidmazgi , M. Sayemuzzaman , and A. Homaifar
Third Annual World Conference on Soft Computing. San Antonio, CA (link)

On the Data-driven Inference of Causal Networks: Examining the relationship between global Sea Surface Temperatures and Sahel Rainfall
D. Gonzalez , I. Tetteh , M. Angus, S. Pendse , S. Srinivas , P. Kanchana, F. Semnazzi , V. Kumar , and N. Samatova
The Third International Workshop on Climate Informatics- NCAR (pdf)

Online Discovery of Group Level Events in Time Series
X. C. Chen , A. Mueen , V. K. Narayanan, N. Karampatziakis , G. Bansal , and V. Kumar
Proceedings of the 2014 SIAM International Conference on Data Mining (pdf)

Online Portfolio Selection with Group Sparsity
P. Das , N. Johnson , and A. Banerjee
Twenty-Eighth AAAI Conference on Artificial Intelligence (pdf)

Predictive Learning in the Presence of Heterogeneity and Limited Training Data
A. Karpatne , A. Khandelwal , Shyam Boriah, and V. Kumar
Proceedings of the 2014 SIAM International Conference on Data Mining (link)

Silverback: Scalable Association Mining For Massive temporal Data in Columnar Probabilistic Databases
Y. Xie, D. Palsetia , K. Zhang, A. Agrawal, G. Trajcevski, and A. Choudhary
International Conference on Data Engineering (ICDE) (link)

Spatio-temporal Consistency for Autonomous Dynamic Object Identification in Continuous Spatio-Temporal Fields
J. H. Faghmous , H. Nguyen , M. Le, and V. Kumar
Twenty-Eighth Conference on Artificial Intelligence (AAAI). Quebec, Canada (link)

Transparent In Situ Data Transformations in ADIOS
D. A. Boyuka II , S. Lakshminarasimhan , X. Zou,, Z. Gong, J. Jenkins , E. Schendel , N. Podhorszki, Q. Liu, S. Klasky, and N. F. Samatova
Proc. 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). Chicago, IL. (link)

Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques.
A. Ganguly, E. Kodra, A. Banerjee , S. Boriah , S. Chatterjee, A. Choudhary, D. Das, J. Faghmous, P. Ganguli, S. Ghosh, K. Hayhoe, C., Hays, W. Hendrix, Q. Fu, D. Kumar, V. Kumar, S. Liess, R. Mawalagedara, V. Mithal, R. Oglesby, K. Salvi, P. Snyder, K. Steinhaeuser, D. Wang, and D. Wuebbles
Nonlinear Processes in Geophysics (pdf)

A K-Main Routes Approach to Spatial Network Activity Summarization.
D. Oliver, S. Shekhar, J. Kang, R. Laubscher, V. Carlan, and A. Bannur
IEEE Transactions on Knowledge and Data Engineering (TKDE). (link)

Regional and seasonal intercomparison of CMIP3 and CMIP5 climate model ensembles for temperature and precipitation.
D. Kumar, E. Kodra, and A. Ganguly
Climate Dynamics (link)

State-of-the-art, challenges, and opportunities for data-driven research.
J. H. Faghmous and V. Kumar
J. Lässig, K. Kersting, and K. Morik, Eds. Computational Sustainability Springer

Non-Stationary Time Series Clustering with Application to Climate Systems.
S. Gorji , M. Sayemuzzaman, and A. Homaifar
Advance Trends in Soft Computing (link)

The Role of the Dominant Modes of Precipitation Variability over Eastern Africa in Modulating the Hydrology of Lake Victoria.
K. Smith and F. H. M. Semazzi
Advances in Meteorology. (link)

Examining future changes in the character of Central U.S. warm-season precipitation using dynamical downscaling.
K. J. Harding and P. K. Snyder
Journal of Geophysical Research. (link)

2013

Focal-Test-Based Spatial Decision Tree Learning.
Z. Jiang, S. Shekhar, X. Zhou, J. Knight, and J. Corcoran
IEEE 13th International Conference on Data Mining (ICDM 2013). (link)

Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices
A. Cherian, S. Sra, A. Banerjee, and N. Papanikolopoulos
IEEE Transactions on Pattern Analysis and Machine Intelligence (link)

Optimal Load Factor for Approximate Nearest Neighbor Search under Exact Euclidean Locality Sensitive Hashing
R. Buaba, A. Homaifar, and E. Kihn
International Journal of Computer Applications (2013) (pdf)

Tracing the Origins and Propagation of Pre-Tropical Storm Debby (2006) Mesoscale Convective Systems using Pattern recognition and Image Fusion
C. Lacewell, A. Homaifar, and Y.L. Lin
Meteorology and Atmospheric Physics. (link)

Objective Tropical Cyclone Intensity Estimation using Analogs of Spatial Features in Satellite Data.
G. Fetanat, A. Homaifar, and K. Knapp
Weather and Forecasting (pdf)

Use of dynamical downscaling to improve the simulation of Central U.S. warm season precipitation in CMIP5 models.
K. J. Harding, P. K. Snyder, and S. Leiss
Journal of Geophysical Research. (link)

Asymmetry of Projected Increases in Extreme Temperature Distributions.
E. Kodra and A. R. Ganguly
Scientific Reports Nature Publishing Group (link)

Lagrangian Approaches to Storage of Spatio-temporal Network Datasets.
K. Yang, M. Evans, V. Guntury, J. Kang, and S. Shekhar
IEEE Transactions on Knowledge and Data Engineering (TKDE). (pdf)

Forecast Oriented Classification of Spatio-Temporal Extreme Events
Z. Chen , Y. Xie , Y. Cheng, K. Zhang , A. Agrawal , W. Liao , N.F. Samatova , and A. Choudhary
23rd International Joint Conference on Artificial Intelligence. Beijing, China (pdf)

GPGPU- Accelerated Interesting Interval Discovery and other Computations on GeoSpatial Datasets: a Summary of Results
S. K. Prasad , S. Shekhar , M. McDermott, X. Zhou , M. R. Evans , and S. Puri
2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial-2013) (link)

Large Scale Distributed Sparse Precision Estimation
H. Wang, A. Banerjee , C. Hsieh, P. Ravikumarl, and I. S. Dhillon
Proceedings of the Advances in Neural Information Processing Systems 26 (pdf)

Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application
J. Faghmous , M. Uluyol , L. Styles , M. Le , V. Mithal, , S. Boriah , and V. Kumar
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (pdf)

Online Lazy Updates for Portfolio Selection with Transaction Costs
P. Das , N. Johnson , and A. Banerjee
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (pdf)

Scalable Parallel OPTICS Data Clustering Using Graph Algorithmic Techniques
M. Patwary , D. Palsetia , A. Agrawal, W. Liao, F. Manne, and A. Choudhary
International Conference on High Performance Computing, Networking, Storage and Analysis, Supercomputing (pdf)

Solving Combinatorial Optimization Problems using Relaxed Linear Programming: A High Performance Computing Perspective
C. Jin , Q. Fu , H. Wang, A. Agrawal , W. Hendrix, W. Liao, M. Patwary , A. Banerjee , and A. Choudhary
BigMine-13, the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications. Chicago, IL. (pdf)

High Performance Big Data Clustering.
A. Agrawal, M. Patwary, W. Hendrix, W. Liao, and A. Choudhary
Advances in Parallel Computing, IOS Press (pdf)

Capacity-Constrained Network-Voronoi Diagram: A Summary of Results.
K. Yang, M. Evans, D. Oliver, and S. Shekhar
Advances in Spatial and Temporal Databases 8098. Spinger (link)

A Geographical Approach for Metadata Quality Improvement in Biological Observation Databases
D. Culger, C. B. Medeiros, S. Shekhar, and L. F. Toledo
2013 IEEE 9th International Conference on eScience (link)

A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics
J. Faghmous, M. Le, M. Uluyol, V. Kumar, and S. Chatterjee
2013 IEEE 13th International Conference on Data Mining (link)

A Scalable Algorithm for Single-Linkage Hierarchical Clustering on Distributed-Memory Architectures
W. Hendrix, D. Palsetia, M. Patwary, A. Agrawal, W. Liao, and A. Choudhary
Symposium on Large-Scale Data Analysis and Visualization (link)

Bregman Divergences and Triangle Inequality
S. Acharyya, A. Banerjee, and D. Boley
Proceedings of the 2013 SIAM International Conference on Data Mining (pdf)

Capacity-Constrained Network-Voronoi Diagram: An Extended Abstract.
, K. Yang, A. H. Shekhar, D. Oliver, and S. Shekhar
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (pdf)

A Distributed Single-Linkage Hierarchical Clustering Algorithm using MapReduce.
C. Jin, M. Patwary, A. Agrawal, W. Hendrix, W. Liao, and A. Choudhary
4th International SC Workshop on Data Intensive Computing in the Clouds (DataCloud) (pdf)

Discovering Persistent Change Windows in Spatiotemporal Datasets: A Summary of Results.
X. Zhou, S. Shekhar, and D. Oliver
2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial-2013). Orlando, Florida, USA (pdf)

Fast Algorithms for the Maximum Clique Problem on Massive Sparse Graphs
B. Patabiraman, M. Patwary, A. Gebremedhin, W. Liao, and A. Choudhary
10th Workshop on Algorithms and Models for the Web Graph (pdf)

Dynamic File Striping and Data Layout Transformation on Parallel System with Fluctuating I/O Workload
S. W. Son, S. Sehrish, W. Liao, R. Oldfield, and A. Choudhary
Cluster Computing (CLUSTER), 2013 IEEE International Conference on. IEEE (link)

Fast and exact network trajectory similarity computation: a case-study on bicycle corridor planning.
M. Evans, D. Oliver, S. Shekhar, and F. Harvey
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing (pdf)

Feedback-Driven Multiclass Active Learning for Data Streams
Y. Cheng, Z. Chen, L. Liu, J. Wang, A. Agrawal, and A. Choudhary
22th ACM International Conference on Information and Knowledge Management (link)

Spatio-Temporal Data Mining for Climate Data: Advances, Challenges, and Opportunities
J. Faghmous and V. Kumar
Advances in Data Mining, W. Chu, Editor, 2013 (pdf)

Forecast Oriented Classification of Spatio-Temporal Extreme Events
Z. Chen, Y. Xie, Y. Cheng, K. Zhang, A. Agrawal, W. Liao, N. F. Samatova, and A. Choudhary
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), Beijing, China, August 2013 (pdf)

The effects of data selection and thematic detail on the accuracy of high spatial resolution wetland classifications
J. Knight, B. Tolcser, J. Corcoran, and L. Rampi
Photogrammetric Engineering Remote Sensing Vol. 79, No. 7, July 2013, pp. 613-623. (pdf)

Introduction to Graph Data Mining
N. F. Samatova and W. Hendrix
Practical Graph Mining with R, N. F. Samatova., W. Hendrix, A. Chakraborty, J. Jenkins, K. Padmanabhan (editors), CRC Press/Taylor and Francis, ISBN 9781439860847, July 2013 (link)

Scalable In Situ Scientific Data Encoding for Analytical Query Processing
S. Lakshminarasimhan, D. A. Boyuka II, S. V. Pendse, X. Zou, J. Jenkins, V. Vismanath, M. E. Papka, and N. F. Samatova
ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC), New York City, June, 2013 (Nominated for Best Paper Award) (link)

PARLO: Parallel Runtime Layout Optimization for scientific data explorations with heterogeneous access patterns
Z. Gong, D. A. Boyuka II, X. Zou, Q. Liu, N. Podhorszki, S. Klasky, X. Ma, and N. F. Samatova
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid'13), Delft, The Netherlands, May 13-16, 2013 (link)

Contextual Time Series Change Detection
X. C. Chen, , K. Steinhaeuser, S. Boriah, S. Chatterjee, and V. Kumar
13th SIAM International Conference on Data Mining (SDM 2013), Austin, Texas, USA, May 2-4, 2013 (pdf)

Change Detection from Temporal Sequences of Class Labels: Application to Land Cover Change Mapping
V. Mithal, Khandelwal, S. Boriah, K. Steinhaeuser, and V. Kumar
13th SIAM International Conference on Data Mining (SDM 2013), Austin, Texas, USA, May 2-4, 2013 (pdf)

Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships
Z. Chen, J. Jenkins, J. Rao, A. Choudhary, F. Semazzi, A. V. Melechko, V. Kumar, and N. F. Samatova
13th SIAM International Conference on Data Mining (SDM 2013), Austin, Texas, USA, May 2-4, 2013 (pdf)

Climate Multi-Model Regression Using Spatial Smoothing
K. Subbian and A. Banerjee
13th SIAM International Conference on Data Mining (SDM 2013), Austin, Texas, USA, May 2-4, 2013 *Winner of Best Application Paper Award* (link)

In situ analysis in support of exploratory scientific discovery in data intensive science
K. Padmanabhan, S. Lakshminarasimhan, Z. Gong, J. Jenkins, N. Shah, E. Schendel, I. Arkatkar, R. Ross, S. Klasky, and N. F. Samatova
Data Intensive Science, T. Chritchlow and K. K. Van Dam (editors), CRC Press/Taylor and Francis, ISBN 9781439881392, May 2013 (pdf)

A graph-based approach to find teleconnections in climate data
J. Kawale, S. Liess, A. Kumar, M. Steinbach, P. Snyder, V. Kumar, A.R. Ganguly, N.F. Samatova, and F. Semazzi
Statistical Analysis and Data Mining, online publication April 2013, doi: 10.1002/sam.11181 (link)

A climate model intercomparison at the dynamics level
K. Steinhaueser and A. Tsonis
Climate Dynamics, online publication April 2013, doi: 10.1007/s00382-013-1761-5 (link)

Computational data sciences for actionable insights on climate extremes and uncertainty
A.R. Ganguly, E. Kodra, S. Chatterjee, A. Banerjee, and H.N. Najm
Section II: Computational Intelligent Data Analysis for Climate Change, Chapter 5, page 127-158 Computational Intelligent Data Analysis for Sustainable Development, CRC Press, 440 pages. April 2013, ISBN:9781439895948 (pdf)

ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-situ Indexing, Storing, and Querying
J. Jenkins, I. Arkatkar, S. Lakshminarasimhan, D. A. Boyuka II, E. R. Schendel, N. Shah, S. Ethier, CS Chang, J. Chen, H. Kolla, S. Klasky, R. Ross, and N. F. Samatova
LNCS Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS). Accepted March, 2013 (link)

Global Alignment of Pairwise Protein Interaction Networks For Maximal Common Conserved Patterns
W. Tian and N. F. Samatova
International Journal of Genomics, February 2013, doi:10.1155/2013/670623 (link)

ISABELA for effective in situ compression of scientific data
S. Lakshminarasimhan, N. Shah, S. Ethier, Sueng-Hoe Ku, C.S. Chang, S. Klasky, R. Latham, R. Ross, and N. F. Samatova
Concurrency and Computation: Practice and Experience, volume 25, issue 4, pages 524 - 540, February 2013 (link)

Earth Science Applications of Sensor Data
A. Karpatne, J. Faghmous, J. Kawale, L. Styles, M. Blank, V. Mithal, X. Chen, A. Khandelwal, S. Boriah, K. Steinhaeuser, M. Steinbach, V. Kumar, and S. Liess
Managing and Mining Sensor Data, C. C. Aggarwal (Ed.), Springer, 505-530, January 15, 2013, ISBN:9781461463085 (link)

Tropical cyclone intensity estimation from satellite images
G. Fetanat, A. Homaifar, and K. Knapp
12th AMS Annual Student Conference, January 5-6, 2013, Austin, TX (link)

2012

Hierarchical Classifier-Regression Ensemble for Multi-Phase Non-Linear Dynamic System Response Prediction: Application to Climate Analysis
D. L. Gonzalez, Z. Chen, I. K. Tetteh, T. Pansombut, F. Semazzi, V. Kumar, A.V. Melechko, and N. F. Samatova
2012 IEEE 12th International Conference on Data Mining (ICDM), pp. 781-788, December 10, 2012. Brussels, Belgium (link)

Byte-precision Level of Detail Processing for Variable Precision Analysis
J. Jenkins, E. R. Schendel, S. Lakshminarasimhan, D. A. Boyuka III, T. Rogers, S. Ethier, R. Ross, S. Klasky, and N. F. Samatova
ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC). Pgs 48:1--48:11. November 10-16, 2012 (link)

Learning spatial decision tree for geographical classification: a summary of results
Z. Jiang, S. Shekhar, P. Mohan, J. Knight, and J. Corcoran
Proceedings of the 20th International Conference on Advances in Geographic Information Systems(ACM SIGSPATIAL GIS 2012), Redondo Beach, CA, November 6-9,2012, pp. 390-393, Doi: 10.1145/2424321.2424372 (link)

A New Data Mining Framework for Forest Fire Mapping
X.C. Chen, A. Karpatne, Y. Chamber, V. Mithal, M. Lau, K. Steinhaeuser, S. Boriah, M. Steinbach, V. Kumar, C. S. Potter, S. A. Klooster, T. Abraham, J.D. Stanley, and J. C. Castilla-Rubio
CIDU 2012: Proceedings of the IEEE Conference on Intelligent Data Understanding, pages 104-111, October,2012 (link)

Mixture of Regression Models for Precipitation Prediction
S. Chatterjee, A. Banerjee, S. Chatterjee, and A.R. Ganguly
The Second International Workshop on Climate Informatics, September 20-21, 2012

Drought Detection on Large Scale Precipitation Datasets: A Parallel Algorithm
Q. Fu, H. Wang, A. Banerjee, S. Liess, and P.K. Snyder
The Second International Workshop on Climate Informatics, September 20-21, 2012 (link)

Model-Data Comparisons of Hydroclimate Variability in the North American Southwest using Markov Random Field Methods for Drought Detection
S. Coats, Q. Fu, J.E. Smerdon, A. Banerjee, and R. Seager
The Second International Workshop on Climate Informatics, September 20-21, 2012 (link)

Quantifying Resolution Sensitivity of Spatial Autocorrelation: A Resolution Correlogram Approach
P. Mohan, X. Zhou, and S. Shekhar
Proceedings of 7th International Conference on Geographic Information Science (GIScience 2012), Columbus, OH, USA, September 18-21, 2012, pp. 132-145. (link)

Drought Detection of the Last Century: An MRF-based Approach
Q. Fu, A. Banerjee, S. Liess, and P.K. Snyder
AGU Fall Meeting, September 3-7, 2012 (link)

Discovery of Extreme Events-Related Communities In Contrasting Groups of Physical System Networks
Z. Chen, W. Hendrix, H. Guan, I. K. Tetteh, A. Choudhary, F. Semazzi, and N. F. Samatova
Data Mining and Knowledge Discovery, September, 2012 (DOI:0.1007/s10618-012-0289-3). (link)

Improving I/O Throughput with PRIMACY: Preconditioning ID-Mapper for Compressing Incompressibility
N. Shah, E. Schendel, S. Lakshminarasimhan, S. V. Pendse, T. Rogers, and N. F. Samatova
IEEE International Conference on Cluster Computing (Cluster), Beijing, China, September 2012 (link)

Mining Extremes: Severe Rainfall and Climate Change
D. Das, E. Kodra, Z. Obradovic, and A. Ganguly
Proc. 20th European Conf. Artificial Intelligence (ECAI-12), August, 2012, Montpellier, France (link)

A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring
J. H. Faghmous, Y. Chamber, S. Boriah, S. Liess, F. Vikebo, M. dos Santos Mesquita, and V. Kumar
AAAI 2012: AAAI Conference on Artificial Intelligence, July 2012 (link)

ISOBAR Hybrid Compression-I/O Interleaving for Large-scale Parallel I/O Optimization
E. R. Schendel, S. V. Pendse, J. Jenkins, D. A. Boyuka II, Z. Gong, S. Lakshminarasimhan, Q. Liu, S. Klasky, R. Ross, and N. F. Samatova
The 21st International ACM Symposium on High Performance Parallel and Distributed Computing, Delft, The Netherlands, pp. 6172, June 18-22, 2012 (Nominated for Best Paper Award) (link)

On the path to sustainable, scalable, energy-efficient data analytics: Challenges, future directions
S. Lakshminarasimhan, P. Kumar, W.-K. Liao, A. N. Choudhary, V. Kumar, and N. F. Samatova
2012 International Green Computing Conference (IGCC), pages 1 - 6, 4-8 June 2012 (link)

In silico identification of phenotype related modules
K. Padmanabhan, K. Wilson, A. Rocha, J. R. Mihelcic, and N. F. Samatova
Proteome Science, June 2012, 10(1):S2, 10.1186/1477-5956-10-S1-S2 (link)

Estimating future global per capita water availability based on changes in climate and population
E. Parish, E. Kodra, Steinhaeuser, and A.R. Ganguly
Computers and Geosciences, 42, 79-86, May, 2012 doi:10.1016/j.cageo.2012.01.019 (link)

Drought Detection of the Last Century: An MRF-based Approach
Q. Fu, A. Banerjee, S. Liess, and P. Snyder
SIAM International Conference on Data Mining (SDM), April 26-28, 2012 (link)

Sparse Group Lasso: Consistency and Climate Applications
S. Chatterjee, K. Steinhaeuser, A. Banerjee, S. Chatterjee, and A. Ganguly
SIAM International Conference on Data Mining (SDM), April 26-28, 2012 (link)

Toward Data-driven,Semi-automatic Inference of Phenomenological Physical Models: Application to Eastern Sahel Rainfall
S.V. Pendse, I.K. Tetteh, F. Semazzi, V. Kumar, and N.F. Samatova
SIAM International Conference on Data Mining (SDM), April 26-28, 2012 (link)

Tropical Cyclone Intensity Estimation Using Temporal Analysis and Spatial Features in Satellite Data
G. Fetanat, A. Homaifar, and K. Knapp
30th Conference on Hurricanes and Tropical Meteorology, April 15-20, 2012, Florida (link)

ISOBAR Preconditioner for Effective and High-throughput Lossless Data Compression
E.R. Schendel, Y. Jin, N. Shah, J. Chen, C.S. Chang, S.-H. Ku, S. Ethier, S. Klasky, R. Latham, R. Ross, and N.F. Samatova
28th IEEE International Conference on Data Engineering (ICDE), April 1-5, 2012 (link)

Lack of uniform trends but increasing spatial variability in observed Indian rainfall extremes
S. Ghosh, D. Das, S.C. Kao, and A.R. Ganguly
Nature Climate Change, 2(2), 86-91, February 2012 doi:10.1038/nclimate1327 (link)

Evaluation of global climate models for Indian monsoon climatology
E. Kodra, S. Ghosh, and A.R. Ganguly
Environmental Research Letters, 014012, February, 2012, 7 pp DOI: doi:10.1088/1748-9326/7/1/014012 (link)

Discovery of Extreme Event-based Communities in Contrasting Groups of Physical System Networks.
Z. Chen, W. Hendrix, G. Han, I.K. Tetteh, F.H.M. Semazzi, and N.F. Samatova
Data Mining and Knowledge Discovery Journal (DMKD 2012) (link)

2011

S-preconditioner for Multi-fold Data Reduction with Guaranteed User-controlled Accuracy
Y. Jin, S. Lakshminarasimhan, N. Shah, C.S. Chang, J. Chen, H. Kolla, S. Ethier, S.-H. Ku, S. Klasky, R. Latham, R. Ross, K. Schuchardt, and and N.F. Samatova
IEEE International Conference on Data Mining (ICDM), December 11-14, 2011 (link)

Community Dynamics and Analysis of Decadal Trends in Climate Data
W. Hendrix, I.K. Tetteh, , A. Agrawal, F. Semazzi, W-k. Liao, and A. Choudhary
IEEE International Conference on Data Mining (ICDM11), Workshop on Knowledge Discovery from Climate Data (ClimKD11), 2011 (link)

Sparse Group Lasso for Regression on Land Climate Variables
S. Chatterjee, A. Banerjee, S. Chatterjee, and and A. Ganguly
IEEE ICDM Workshop on Knowledge Discovery from Climate Data: Prediction, Extremes, and Impacts, Dec 11-14, 2011 (link)

Supporting Computational Data Model Representation with High-performance I/O in Parallel netCDF
K. Gao, C. Jin, A. Choudhary, and and W. Liao
High Performance Computing Conference, December 11-14, 2011 (link)

Discovering Interesting Sub-paths in Spatiotemporal Datasets: A Summary of Results.
X. Zhou, S. Shekhar, P. Mohan, S. Liess, and and P.K. Snyder.
Proc. 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2011), Chicago, USA, Nov. 1-4, 2011, pp. 44-53. (link)

Finding Intervals of Abrupt Change in Earth Science Data
X. Zhou, S. Shekhar, S. Liess, P.K. Snyder., and and P. Mohan
Poster Presentation in AGU 2011 Fall meeting, San Francisco, Dec. 2011 (link)

ISABELA-QA: Query-driven Data Analytics over ISABELA-compressed Scientific Data
S. Lakshminarasimhan, J. Jenkins, I. Arkatkar, Z. Gong, H. Kolla, S.-H. Ku, S. Ethier, J. Chen, C.S. Chang, S. Klasky, R. Latham, R. Ross, and and N.F. Samatova
Supercomputing, November 12-18, 2011 (link)

Data Guided Discovery of Dynamic Climate Dipoles
J. Kawale, S. Liess, A. Kumar, A. Ganguly, M. Steinbach, N. Samatova, F. Semazzi, P. Snyder, and and V. Kumar
NASA Conference on Intelligent Data Understanding, October 19-21, 2011 (pdf)

Anomaly construction in Climate data: Issues and Challenges
J. Kawale, S. Chatterjee, A. Kumar, S. Liess, M. Steinbach, and and V. Kumar
NASA Conference on Intelligent Data Understanding, October 19-21, 2011 (pdf)

Intensity, duration, and frequency of precipitation extremes under 21st century warming scenarios
S.-C. Kao and A.R. Ganguly
Journal of Geophysical Research, vol. 116 (pdf | link)

Multivariate and multiscale dependence in the global climate system revealed through complex networks
K. Steinhaeuser, A.R. Ganguly, and N. Chawla
Climate Dynamics, in press, DOI: 10.1007/s00382-011-1135-9 (pdf)

Monitoring Global Forest Cover Using Data Mining
V. Mithal, A. Garg, S. Boriah, M. Steinbach, V. Kumar, C. Potter, S. Klooster, and J.-C. Castilla-Rubio
ACM Transactions on Intelligent Systems and Technology, Volume 2, Number 4, 2011 (pdf | link)

Community-based Anomaly Detection in Evolutionary Networks
Z. Chen, W. Hendrix, and N.F. Samatova
The Journal of Intelligent Information Systems, p. 1-27, October 2011 (link)

Improving the Average Response Time in Collective I/O
C. Jin, S. Sehrish, W. Liao, A. Choudhary, and K. Schuchardt
18th EuroMPI Conference, September 2011 (link)

Lessons Learned from Exploring the Backtracking Paradigm on the GPU
J. Jenkins, I. Arkatkar, J. Owens, A. Choudhary, and N. Samatova
17th International European Conference on Parallel and Distributed Computing, Aug 29, 2011 - Sep 2, 2011 (pdf)

Compressing the Incompressible with ISABELA: In-situ Reduction of Spatio-Temporal Datamation
S. Lakshminarasimhan, N. Shah, S. Ethier, S. Klasky, R. Latham, R. Ross, and N. F. Samatova
17th International European Conference on Parallel and Distributed Computing, Aug 29, 2011 - Sep 2, 2011 (link)

Comparing predictive power in climate data: clustering matters
K. Steinhaeuser, N. Chawla, and A. Ganguly
12th International Symposium on Spatial and Temporal Databases, Twin Cities, Minnesota, August 24-26, 2011 (pdf)

Classification of Emerging Extreme Event Tracks in Multi-Variate Spatio-Temporal Physical Systems Using Dynamic Network Structures: Application to Hurricane Track Prediction
H. Sencan, Z. Chen, W. Hendrix, T. Pansombut, F. Semazzi, A. Choudhary, V. Kumar, N.F. Samatova, and A. Melechko
Proceedings of the 22nd International Joint Conference on Artificial Intelligence, July 16-22, 2011 (link)

Challenges and opportunities toward improved data-guided handling of global climate model ensembles for regional climate change assessments
E. Kodra, S. Chatterjee, and A.R. Ganguly
International Conference on Machine Learning – Workshop on Grand Challenges, Seattle, Washington, July 2, 2011 (link)

Probabalistic matrix addition
A. Agrovic, A. Banerjee, and S. Chatterjee
28th International Conference on Machine Learning (pdf)

Mapping Impervious Cover Using Multi-Temporal MODIS NDVI Data
J. Knight and M. Voth
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, June 2011 (pdf)

Empirical Comparison of Correlation Measures and Pruning Levels in Complex Networks Representing the Global Climate System
A. Pelan, K. Steinhaeuser, N. V. Chawla, D. A. de Alwis Pitts, and A.R. Ganguly
IEEE Symposium Series on Computational Intelligence and Data Mining (CIDM), Paris, France (link)

High Performance Data Mining Using R on Heterogeneous Platforms
P. Kumar, B. Ozisikyilmaz, W.-k. Liao, G. Memik, and A. Choudhary
Workshop on Multithreaded Architectures and Applications, held in conjunction with the 25th IEEE International Parallel and Distributed Processing Symposium, May 16-20, 2011 (pdf)

Discovering Dynamic Dipoles in Climate Data
J. Kawale, M. Steinbach, and V. Kumar
SIAM International Conference on Data Mining (SDM), April 28-30, 2011 (pdf)

High dimensional data analysis using multivariate generalized spatial quantiles
N. Mukhopadhyaya and S. Chatterjee
Journal of Multivariate Analysis Volume 102, Issue 4, April 2011, Pages 768-780 (pdf)

Persisting Cold Extremes Under 21st-Century Warming Scenarios
E. Kodra, K. Steinhaeuser, and A.R. Ganguly
Geophysical Research Letters, 38, L08705, April 2011 (pdf)

Satellite Image Retrieval Application Using Locality Sensitive Hashing in L2-Space
R. Buaba, A. Homaifar, M. Gebril, and E. Kihn
32nd IEEE Aerospace Conference, 5-12 March 2011, p. 1-7 (link)

Structural Indexing of Satellite Images Using Automatic Classification
M. Gebril, R. Buaba, A. Homaifar, and E. Kihn
IEEE Aerospace Conference, March 5-12, 2011, p. 1-7 (link)

Satellite image retrieval using low memory locality sensitive hashing in Euclidean space
R. Buaba, M. Gebril, A. Homaifar, E. Kihn, and M. Zhizhin
Earth Science Informatics, vol. 4, February 2011, p. 17-28 (link)

Development of new indices for the prediction of the West African climate
I. K. Tetteh and F. Semazzi
91st American Meteorological Society Annual Meeting, January 27, 2011 (pdf)

2010

Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science
K. Steinhaeuser, N. Chawla, and A. Ganguly
Statistical Analysis and Data Mining, 4: n/a. doi: 10.1002/sam.10100, December 16, 2010 (link)

Detecting and Tracking Community Dynamics in Evolutionary Networks.
Z. Chen, K. Wilson, Y. Jin, W. Hendrix, and N. Samatova
ICDM Workshops 2010: 318-327. December 2010 (pdf)

A Knowledge Discovery Strategy for Relating Sea Surface Temperatures to Frequencies of Tropical Storms and Generating Predictions of Hurricanes Under 21st-Century Global Warming Scenarios
C. Race, M. Steinbach, A. Ganguly, F. Semazzi, and V. Kumar
Proceedings of Annual Conference on Intelligent Data Understanding (CIDU), October, 2010 (pdf)

A Comparative Study of Algorithms for Land Cover Change
S. Boriah, V. Mithal, A. Garg, V. Kumar, M. Steinbach, C. Potter, and S. Klooster
Proceedings of Annual Conference on Intelligent Data Understanding (CIDU), October, 2010, 175-188 (pdf)

Complex networks in climate science: Progress, opportunities and challenges
K. Steinhaeuser, N.V. Chawla, and A.R. Ganguly
Proceedings of CIDU 2010, October 2010 (link)

Exploring Granger causality between global average observed time series of carbon dioxide and temperature
E. Kodra, S. Chatterjee, and A. Ganguly
Theoretical and Applied Climatology Volume 104, Numbers 3-4, 325-335, DOI: 10.1007/s00704-010-0342-3, September 30, 2010 (link)