Menuka Warushavithana

Orcid: 0000-0002-9174-8633

According to our database1, Menuka Warushavithana authored at least 11 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Deep Learning based Approach for Fast, Effective Visualization of Voluminous Gridded Spatial Observations.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Enabling Fast, Effective Visualization of Voluminous Gridded Spatial Datasets.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 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

2022
Alleviating Resource Requirements for Spatial Deep Learning Workloads.
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
A Transfer Learning Scheme for Time Series Forecasting Using Facebook Prophet.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

Containerization of Model Fitting Workloads over Spatial Datasets.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Distributed Orchestration of Regression Models Over Administrative Boundaries.
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
Shift-of-Perspective Identification within Legal Cases.
Proceedings of the Third Workshop on Automated Semantic Analysis of Information in Legal Texts co-located with the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019), 2019

2018
Identifying Relationships Among Sentences in Court Case Transcripts Using Discourse Relations.
CoRR, 2018

Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018


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