Saptashwa Mitra

According to our database, Saptashwa Mitra authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Radix+: High-throughput georeferencing and data ingestion over voluminous and fast-evolving phenotyping sensor data.

Saptashwa Mitra, Maxwell Roselius, Pedro Andrade-Sanchez, John K. McKay, Sangmi Lee Pallickara

Concurr. Comput. Pract. Exp., 2023

A Framework for Profiling Spatial Variability in the Performance of Classification Models.

Menuka Warushavithana, Kassidy Barram, Caleb Carlson, Saptashwa Mitra, Sudipto Ghosh, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

Rubiks: Rapid Explorations and Summarization over High Dimensional Spatiotemporal Datasets.

Saptashwa Mitra, Matthew Young, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

ARGUS: Rapid Wildfire Tracking Using Satellite Data Collections.

Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022

Rapid Betweenness Centrality Estimates for Transportation Networks using Capsule Networks.

Abdul Matin, Samuel Armstrong, Saptashwa Mitra, Shrideep Pallickara, Sangmi Lee Pallickara

Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022

Alleviating Resource Requirements for Spatial Deep Learning Workloads.

Saptashwa Mitra, Menuka Warushavithana, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

Resource Efficient Profiling of Spatial Variability in Performance of Regression Models.

Caleb Carlson, Menuka Warushavithana, Saptashwa Mitra, Kassidy Barram, Sudipto Ghosh, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the IEEE International Conference on Big Data, 2022

2021

A Transfer Learning Scheme for Time Series Forecasting Using Facebook Prophet.

Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the IEEE International Conference on Cluster Computing, 2021

A Generative Approach to Visualizing Satellite Data.

Saptashwa Mitra, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara

Proceedings of the IEEE International Conference on Cluster Computing, 2021

Containerization of Model Fitting Workloads over Spatial Datasets.

Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Glance: A Generative Approach to Interactive Visualization of Voluminous Satellite Imagery.

Saptashwa Mitra, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Distributed Orchestration of Regression Models Over Administrative Boundaries.

Menuka Warushavithana, Caleb Carlson, Saptashwa Mitra, Daniel Rammer, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the BDCAT '21: 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies, Leicester, United Kingdom, December 6, 2021

2019

STASH : Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations.

Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

STRETCH: In-Memory Storage with Autoscaling for Cluster Computing.

Bibek Raj Shrestha, Saptashwa Mitra, Sangmi Lee Pallickara

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.

Saptashwa Mitra, Sangmi Lee Pallickara

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.

Saptashwa Mitra, Yu Qiu, Haley Moss, Kaigang Li, Sangmi Lee Pallickara

Proceedings of the 17th IEEE International Conference On Trust, 2018