Upeka Somaratne

According to our database, Upeka Somaratne authored at least 4 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

The use of generative adversarial networks for multi-site one-class follicular lymphoma classification.

Upeka V. Somaratne, Kok Wai Wong, Jeremy Parry, Hamid Laga

Neural Comput. Appl., October, 2023

2020

RCNN for Region of Interest Detection in Whole Slide Images.

Anupiya Nugaliyadde, Kok Wai Wong, Jeremy Parry, Ferdous Sohel, Hamid Laga, Upeka V. Somaratne, Chris Yeomans, Orchid Foster

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Predicting Electricity Consumption using Deep Recurrent Neural Networks.

Anupiya Nugaliyadde, Upeka Somaratne, Kok Wai Wong

CoRR, 2019

Improving Follicular Lymphoma Identification using the Class of Interest for Transfer Learning.

Upeka Somaratne, Kok Wai Wong, Jeremy Parry, Ferdous Sohel, Xuequn Wang, Hamid Laga

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019