Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Menuka Warushavithana"'
Autor:
Caleb Carlson, Menuka Warushavithana, Saptashwa Mitra, Kassidy Barram, Sudipto Ghosh, Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Autor:
Saptashwa Mitra, Menuka Warushavithana, Mazdak Arabi, Jay Breidt, Sangmi Pallickara, Shrideep Pallickara
Publikováno v:
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid).
Autor:
Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Autor:
Menuka Warushavithana, Caleb Carlson, Saptashwa Mitra, Daniel Rammer, Mazdak Arabi, Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara
Publikováno v:
2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies (BDCAT '21).
Autor:
Shrideep Pallickara, Menuka Warushavithana, Saptashwa Mitra, Sangmi Lee Pallickara, Mazdak Arabi, Jay Breidt
Publikováno v:
CLUSTER
We describe our methodology to support time-series forecasts over spatial datasets using the Prophet library. Our approach underpinned by our transfer learning scheme ensures that model instances capture subtle regional variations and converge faster
Autor:
Menuka Warushavithana, G. Rathnayake, Amal Shehan Perera, Thejan Rupasinghe, Viraj Gamage, N. H. N. D. de Silva, M. Perera
Publikováno v:
International Journal on Advances in ICT for Emerging Regions (ICTer). 12:1-10
Information that is available in court case transcripts which describes the proceedings of previous legal cases are of significant importance to legal officials. Therefore, automatic information extraction from court case transcripts can be considere
Autor:
Menuka Warushavithana, Amal Shehan Perera, Nisansa de Silva, Gathika Ratnayaka, Viraj Gamage, Thejan Rupasinghe
Case Law has a significant impact on the proceedings of legal cases. Therefore, the information that can be obtained from previous court cases is valuable to lawyers and other legal officials when performing their duties. This paper describes a metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6545c3d0fb1758168fb723aa2e336181
Autor:
Thejan Rupasinghe, Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Viraj Salaka, Menuka Warushavithana
Publikováno v:
WASSA@EMNLP
This study proposes a novel way of identifying the sentiment of the phrases used in the legal domain. The added complexity of the language used in law, and the inability of the existing systems to accurately predict the sentiments of words in law are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7301525cf2def6e2c15d34e731b4592d