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ORCIDSaptashwa Mitra
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Journal Articles
- 2023
[j1]Saptashwa Mitra
, Maxwell Roselius, Pedro Andrade-Sanchez, John K. McKay, Sangmi Lee Pallickara:
Radix+: High-throughput georeferencing and data ingestion over voluminous and fast-evolving phenotyping sensor data. Concurr. Comput. Pract. Exp. 35(8) (2023)
Conference and Workshop Papers
- 2023
- [c15]Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara:
ARGUS: Rapid Wildfire Tracking Using Satellite Data Collections. CLOUD 2023: 72-83 - [c14]Menuka Warushavithana, Kassidy Barram, Caleb Carlson, Saptashwa Mitra, Sudipto Ghosh, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
A Framework for Profiling Spatial Variability in the Performance of Classification Models. BDCAT 2023: 06:1-06:11 - [c13]Saptashwa Mitra, Matthew Young, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
Rubiks: Rapid Explorations and Summarization over High Dimensional Spatiotemporal Datasets. BDCAT 2023: 11:1-11:11 - 2022
- [c12]Caleb Carlson, Menuka Warushavithana, Saptashwa Mitra, Kassidy Barram, Sudipto Ghosh, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
Resource Efficient Profiling of Spatial Variability in Performance of Regression Models. IEEE Big Data 2022: 437-444 - [c11]Saptashwa Mitra, Menuka Warushavithana, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
Alleviating Resource Requirements for Spatial Deep Learning Workloads. CCGRID 2022: 452-462 - [c10]Abdul Matin, Samuel Armstrong, Saptashwa Mitra, Shrideep Pallickara, Sangmi Lee Pallickara:
Rapid Betweenness Centrality Estimates for Transportation Networks using Capsule Networks. TransAI 2022: 89-96 - 2021
- [c9]Menuka Warushavithana, Caleb Carlson, Saptashwa Mitra, Daniel Rammer, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
Distributed Orchestration of Regression Models Over Administrative Boundaries. BDCAT 2021: 80-90 - [c8]Saptashwa Mitra, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara:
Glance: A Generative Approach to Interactive Visualization of Voluminous Satellite Imagery. IEEE BigData 2021: 359-367 - [c7]Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
Containerization of Model Fitting Workloads over Spatial Datasets. IEEE BigData 2021: 3770-3779 - [c6]Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
A Transfer Learning Scheme for Time Series Forecasting Using Facebook Prophet. CLUSTER 2021: 809-810 - [c5]Saptashwa Mitra, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara:
A Generative Approach to Visualizing Satellite Data. CLUSTER 2021: 815-816 - 2019
- [c4]Bibek Raj Shrestha, Saptashwa Mitra, Sangmi Lee Pallickara:
STRETCH: In-Memory Storage with Autoscaling for Cluster Computing. CLOUD 2019: 224-228 - [c3]Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara:
STASH : Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations. CLUSTER 2019: 1-11 - 2018
- [c2]Saptashwa Mitra, Yu Qiu, Haley Moss, Kaigang Li, Sangmi Lee Pallickara:
Effective Integration of Geotagged, Ancilliary Longitudinal Survey Datasets to Improve Adulthood Obesity Predictive Models. TrustCom/BigDataSE 2018: 1738-1746 - [c1]Saptashwa Mitra, Sangmi Lee Pallickara:
Confluence: Adaptive Spatiotemporal Data Integration Using Distributed Query Relaxation over Heterogeneous Observational Datasets. UCC 2018: 184-193
Coauthor Index
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