Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning. - Viraj Salaka Gamage; Menuka Warushavithana; Nisansa de Silva; Amal Shehan Perera; Gathika Ratnayaka; Thejan Rupasinghe (WASSA@EMNLP, 2018)

Identifying Relationships Among Sentences in Court Case Transcripts Using Discourse Relations. - Gathika Ratnayaka; Thejan Rupasinghe; Nisansa de Silva; Menuka Warushavithana; Viraj Gamage; Amal Shehan Perera (CoRR, 2018)

Shift-of-Perspective Identification within Legal Cases. - Gathika Ratnayaka; Thejan Rupasinghe; Nisansa de Silva; Viraj Salaka Gamage; Menuka Warushavithana; Amal Shehan Perera (ASAIL@ICAIL, 2019)

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 (BDCAT, 2021)

Containerization of Model Fitting Workloads over Spatial Datasets. - Menuka Warushavithana; Saptashwa Mitra; Mazdak Arabi; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE BigData, 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 (CLUSTER, 2021)

Resource Efficient Profiling of Spatial Variability in Performance of Regression Models. - Caleb Carlson; Menuka Warushavithana; Saptashwa Mitra; Kassidy Barram; Sudipto Ghosh 001; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE Big Data, 2022)

Alleviating Resource Requirements for Spatial Deep Learning Workloads. - Saptashwa Mitra; Menuka Warushavithana; Mazdak Arabi; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (CCGRID, 2022)

A Framework for Profiling Spatial Variability in the Performance of Classification Models. - Menuka Warushavithana; Kassidy Barram; Caleb Carlson; Saptashwa Mitra; Sudipto Ghosh 001; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (BDCAT, 2023)

Enabling Fast, Effective Visualization of Voluminous Gridded Spatial Datasets. - Paahuni Khandelwal; Menuka Warushavithana; Sangmi Lee Pallickara; Shrideep Pallickara (CCGrid, 2023)

Deep Learning based Approach for Fast, Effective Visualization of Voluminous Gridded Spatial Observations. - Paahuni Khandelwal; Menuka Warushavithana; Sangmi Lee Pallickara; Shrideep Pallickara (CCGridW, 2023)