Saptashwa Mitra
Orcid: 0000-0003-2459-8417
According to our database1,
Saptashwa Mitra
authored at least 16 papers
between 2018 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
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
Rapid Betweenness Centrality Estimates for Transportation Networks using Capsule Networks.
Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022
Resource Efficient Profiling of Spatial Variability in Performance of Regression Models.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 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
2019
STASH : Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations.
Proceedings of the 2019 IEEE International Conference on Cluster 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