| Stash: Fast hierarchical aggregation queries for effective visual spatiotemporal explorations S Mitra, P Khandelwal, S Pallickara, SL Pallickara 2019 IEEE International Conference on Cluster Computing (CLUSTER), 1-11, 2019 | 19 | 2019 |
| A transfer learning scheme for time series forecasting using facebook prophet M Warushavithana, S Mitra, M Arabi, J Breidt, SL Pallickara, S Pallickara 2021 IEEE International Conference on Cluster Computing (CLUSTER), 809-810, 2021 | 7 | 2021 |
| Glance: A generative approach to interactive visualization of voluminous satellite imagery S Mitra, D Rammer, S Pallickara, SL Pallickara 2021 IEEE International Conference on Big Data (Big Data), 359-367, 2021 | 6 | 2021 |
| Effective Integration of Geotagged, Ancilliary Longitudinal Survey Datasets to Improve Adulthood Obesity Predictive Models S Mitra, Y Qiu, H Moss, K Li, SL Pallickara 2018 17th IEEE International Conference On Trust, Security And Privacy In …, 2018 | 6 | 2018 |
| Confluence: adaptive spatiotemporal data integration using distributed query relaxation over heterogeneous observational datasets S Mitra, SL Pallickara 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing …, 2018 | 5 | 2018 |
| Alleviating resource requirements for spatial deep learning workloads S Mitra, M Warushavithana, M Arabi, J Breidt, S Pallickara, S Pallickara 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022 | 4 | 2022 |
| A generative approach to visualizing satellite data S Mitra, D Rammer, S Pallickara, SL Pallickara 2021 IEEE International Conference on Cluster Computing (CLUSTER), 815-816, 2021 | 4 | 2021 |
| Distributed orchestration of regression models over administrative boundaries M Warushavithana, C Carlson, S Mitra, D Rammer, M Arabi, J Breidt, ... 2021 IEEE/ACM 8th International Conference on Big Data Computing …, 2021 | 3 | 2021 |
| Resource efficient profiling of spatial variability in performance of regression models C Carlson, M Warushavithana, S Mitra, K Barram, S Ghosh, J Breidt, ... 2022 IEEE International Conference on Big Data (Big Data), 437-444, 2022 | 2 | 2022 |
| Rapid betweenness centrality estimates for transportation networks using capsule networks A Matin, S Armstrong, S Mitra, S Pallickara, SL Pallickara 2022 Fourth International Conference on Transdisciplinary AI (TransAI), 89-96, 2022 | 2 | 2022 |
| Containerization of model fitting workloads over spatial datasets M Warushavithana, S Mitra, M Arabi, J Breidt, SL Pallickara, S Pallickara 2021 IEEE International Conference on Big Data (Big Data), 3770-3779, 2021 | 2 | 2021 |
| Rubiks: Rapid explorations and summarization over high dimensional spatiotemporal datasets S Mitra, M Young, J Breidt, S Pallickara, S Pallickara Proceedings of the IEEE/ACM 10th International Conference on Big Data …, 2023 | 1 | 2023 |
| A framework for profiling spatial variability in the performance of classification models M Warushavithana, K Barram, C Carlson, S Mitra, S Ghosh, J Breidt, ... Proceedings of the IEEE/ACM 10th International Conference on Big Data …, 2023 | 1 | 2023 |
| ARGUS: Rapid Wildfire Tracking Using Satellite Data Collections S Mitra, P Khandelwal, S Pallickara, SL Pallickara 2023 IEEE 16th International Conference on Cloud Computing (CLOUD), 72-83, 2023 | 1 | 2023 |
| Argus: Rapid tracking of wildfires from unlabeled satellite images S Mitra, P Khandelwal, S Pallickara, S Pallickara International Conference on Cloud Computing (CLOUD), 2023 | 1 | 2023 |
| Radix+: High‐throughput georeferencing and data ingestion over voluminous and fast‐evolving phenotyping sensor data S Mitra, M Roselius, P Andrade‐Sanchez, JK McKay, SL Pallickara Concurrency and Computation: Practice and Experience 35 (8), e7484, 2023 | 1 | 2023 |
| Towards Interactive Analytics Over Voluminous Spatiotemporal Data Using a Distributed, In-Memory Framework S Mitra Colorado State University, 2023 | | 2023 |
| STRETCH: In-Memory Storage with Autoscaling for Cluster Computing BR Shrestha, S Mitra, SL Pallickara 2019 IEEE 12th International Conference on Cloud Computing (CLOUD), 224-228, 2019 | | 2019 |
| Adaptive Spatiotemporal Data Integration Using Distributed Query Relaxation over Heterogeneous Observational Datasets S Mitra Colorado State University, 2018 | | 2018 |
Sangmi Lee PallickaraProfessor of Computer Science, Colorado State UniversityVerified email at cs.colostate.edu
