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Sangmi Lee Pallickara

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with F. Jay Breidt

> Home > Persons > Sangmi Lee Pallickara

Publications

2023
[c57]
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  - conf/bdc/WarushavithanaB23
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  - https://dblp.org/rec/conf/bdc/WarushavithanaB23
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
[c56]
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  - conf/bdc/MitraYBPP23
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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
[j20]
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  - journals/envsoft/ArmstrongKPSSAB22
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Samuel Armstrong, Paahuni Khandelwal, Dhruv Padalia, Gabriel B. Senay, Darin Schulte, Allan A. Andales, F. Jay Breidt, Shrideep Pallickara, Sangmi Lee Pallickara:
Attention-based convolutional capsules for evapotranspiration estimation at scale. Environ. Model. Softw. 152: 105366 (2022)
[c51]
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  - conf/bigdataconf/CarlsonWMBGBPP22
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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
[c49]
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  - conf/ccgrid/MitraWABPP22
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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
2021
[c46]
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  - conf/bdc/WarushavithanaC21
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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
[c44]
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  - conf/bigdataconf/WarushavithanaM21
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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
[c42]
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  - conf/cluster/WarushavithanaM21
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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
2016
[j8]
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  - journals/fgcs/BudgagaMPHBP16
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Walid Budgaga, Matthew Malensek, Sangmi Lee Pallickara, Neil Harvey, F. Jay Breidt, Shrideep Pallickara:
Predictive analytics using statistical, learning, and ensemble methods to support real-time exploration of discrete event simulations. Future Gener. Comput. Syst. 56: 360-374 (2016)
2014
[c21]
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  - conf/ucc/MalensekBPHBP14
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Matthew Malensek, Walid Budgaga, Sangmi Lee Pallickara, Neil Harvey, F. Jay Breidt, Shrideep Pallickara:
Using Distributed Analytics to Enable Real-Time Exploration of Discrete Event Simulations. UCC 2014: 49-58

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