Sangmi Lee Pallickara
Orcid: 0000-0001-7012-5528Affiliations:
- Colorado State University, USA
According to our database1,
Sangmi Lee Pallickara
authored at least 80 papers
between 2005 and 2023.
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Bibliography
2023
Radix+: High-throughput georeferencing and data ingestion over voluminous and fast-evolving phenotyping sensor data.
Concurr. Comput. Pract. Exp., 2023
Deep Learning based Approach for Fast, Effective Visualization of Voluminous Gridded Spatial Observations.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
AQUA: A Framework for Spatiotemporal Analysis and Visualizations of Water Quality Data at Scale.
Proceedings of the IEEE International Conference on Big Data, 2023
DISCERN: Leveraging Knowledge Distillation to Generate High Resolution Soil Moisture Estimation from Coarse Satellite Data.
Proceedings of the IEEE International Conference on Big Data, 2023
A Framework for Profiling Spatial Variability in the Performance of Classification Models.
Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023
Rubiks: Rapid Explorations and Summarization over High Dimensional Spatiotemporal Datasets.
Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023
2022
Enabling Fast Exploratory Analyses Over Voluminous Spatiotemporal Data Using Analytical Engines.
IEEE Trans. Big Data, 2022
Environ. Model. Softw., 2022
Rapid Betweenness Centrality Estimates for Transportation Networks using Capsule Networks.
Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022
CloudNet: A Deep Learning Approach for Mitigating Occlusions in Landsat-8 Imagery using Data Coalescence.
Proceedings of the 18th IEEE International Conference on e-Science, 2022
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Resource Efficient Profiling of Spatial Variability in Performance of Regression Models.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
IEEE Trans. Parallel Distributed Syst., 2021
Living on the Edge: Data Transmission, Storage, and Analytics in Continuous Sensing Environments.
ACM Trans. Internet Things, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Mind the Gap: Generating Imputations for Satellite Data Collections at Myriad Spatiotemporal Scopes.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Glance: A Generative Approach to Interactive Visualization of Voluminous Satellite Imagery.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the BDCAT '21: 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies, Leicester, United Kingdom, December 6, 2021
2020
Towards Timely, Resource-Efficient Analyses Through Spatially-Aware Constructs within Spark.
Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020
Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020
Lightweight, Embeddings Based Storage and Model Construction Over Satellite Data Collections.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets.
Proceedings of the 7th IEEE/ACM International Conference on Big Data Computing, 2020
Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets.
Proceedings of the 7th IEEE/ACM International Conference on Big Data Computing, 2020
2019
Trident: Distributed Storage, Analysis, and Exploration of Multidimensional Phenomena.
IEEE Trans. Big Data, 2019
Scalable network analytics for characterization of outbreak influence in voluminous epidemiology datasets.
Concurr. Comput. Pract. Exp., 2019
Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, 2019
STASH : Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019
Rapid, Progressive Sub-Graph Explorations for Interactive Visual Analytics over Large-Scale Graph Datasets.
Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, 2019
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019
2018
Confluence: Adaptive Spatiotemporal Data Integration Using Distributed Query Relaxation over Heterogeneous Observational Datasets.
Proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing, 2018
Effective Integration of Geotagged, Ancilliary Longitudinal Survey Datasets to Improve Adulthood Obesity Predictive Models.
Proceedings of the 17th IEEE International Conference On Trust, 2018
Radix: Enabling High-Throughput Georeferencing for Phenotype Monitoring over Voluminous Observational Data.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018
Alleviating I/O Inefficiencies to Enable Effective Model Training Over Voluminous, High-Dimensional Datasets.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
IEEE Trans. Knowl. Data Eng., 2017
IEEE Trans. Cloud Comput., 2017
A framework for scalable real-time anomaly detection over voluminous, geospatial data streams.
Concurr. Comput. Pract. Exp., 2017
HERMES: Federating Fog and Cloud Domains to Support Query Evaluations in Continuous Sensing Environments.
IEEE Cloud Comput., 2017
Columbus: Enabling Scalable Scientific Workflows for Fast Evolving Spatio-Temporal Sensor Data.
Proceedings of the 2017 IEEE International Conference on Services Computing, 2017
2016
IEEE Trans. Knowl. Data Eng., 2016
Minerva: Proactive Disk Scheduling for QoS in Multitier, Multitenant Cloud Environments.
IEEE Internet Comput., 2016
Predictive analytics using statistical, learning, and ensemble methods to support real-time exploration of discrete event simulations.
Future Gener. Comput. Syst., 2016
A scalable framework for continuous query evaluations over multidimensional, scientific datasets.
Concurr. Comput. Pract. Exp., 2016
IEEE Cloud Comput., 2016
Mendel: A Distributed Storage Framework for Similarity Searching over Sequencing Data.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016
Network analysis for identifying and characterizing disease outbreak influence from voluminous epidemiology data.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Alleviation of Disk I/O Contention in Virtualized Settings for Data-Intensive Computing.
Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015
2014
Comput. Sci. Eng., 2014
Using Distributed Analytics to Enable Real-Time Exploration of Discrete Event Simulations.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014
A Framework for Managing Continuous Query Evaluations over Voluminous, Multidimensional Datasets.
Proceedings of the 2014 International Conference on Cloud and Autonomic Computing, 2014
GeoLens: Enabling Interactive Visual Analytics over Large-Scale, Multidimensional Geospatial Datasets.
Proceedings of the 1st IEEE/ACM International Symposium on Big Data Computing, 2014
2013
Exploiting geospatial and chronological characteristics in data streams to enable efficient storage and retrievals.
Future Gener. Comput. Syst., 2013
Proceedings of the IEEE/ACM 6th International Conference on Utility and Cloud Computing, 2013
Autonomously improving query evaluations over multidimensional data in distributed hash tables.
Proceedings of the ACM Cloud and Autonomic Computing Conference, 2013
2012
Future Gener. Comput. Syst., 2012
Proceedings of the IEEE Fifth International Conference on Utility and Cloud Computing, 2012
2011
Proceedings of the IEEE 4th International Conference on Utility and Cloud Computing, 2011
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011
2010
The Quakesim portal and services: new approaches to science gateway development techniques.
Concurr. Comput. Pract. Exp., 2010
Efficient Metadata Generation to Enable Interactive Data Discovery over Large-Scale Scientific Data Collections.
Proceedings of the Cloud Computing, Second International Conference, 2010
Scientific Data Management in the Cloud: A Survey of Technologies, Approaches and Challenges.
Proceedings of the Handbook of Cloud Computing., 2010
2008
Proceedings of the Fourth International Conference on e-Science, 2008
2006
Proceedings of the Grid-Based Problem Solving Environments, 2006
TrustCell: Towards the End-to-End Trustworthiness in Data-Oriented Scientific Computing.
Proceedings of the 2006 International Conference on Parallel Processing Workshops (ICPP Workshops 2006), 2006
Proceedings of the 2006 International Conference on Parallel Processing Workshops (ICPP Workshops 2006), 2006
Building e-Science Portals: A Service Oriented Architecture.
Proceedings of the High Performance Computing and Grids in Action, 2006
Proceedings of the 7th IEEE/ACM International Conference on Grid Computing (GRID 2006), 2006
Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 2006
2005
Comput. Sci. Eng., 2005
Proceedings of the International Symposium on Information Technology: Coding and Computing (ITCC 2005), 2005
Proceedings of the Service-Oriented Computing, 2005
Cost Model and Adaptive Scheme for Publish/Subscribe Systems on Mobile Grid Environments.
Proceedings of the Computational Science, 2005
Proceedings of the Computational Science, 2005
Proceedings of the First International Conference on e-Science and Grid Technologies (e-Science 2005), 2005
Proceedings of the 2005 Challenges of Large Applications in Distributed Environments, 2005
Proceedings of the 2005 IEEE International Conference on Services Computing (SCC 2005), 2005