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Upeka Somaratne

Upeka V. Somaratne

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Journal Articles

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2023
[j1]
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  - journals/nca/SomaratneWPL23
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  - https://dblp.org/rec/journals/nca/SomaratneWPL23
Upeka V. Somaratne, Kok Wai Wong, Jeremy Parry, Hamid Laga:
The use of generative adversarial networks for multi-site one-class follicular lymphoma classification. Neural Comput. Appl. 35(28): 20569-20579 (2023)

Conference and Workshop Papers

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2020
[c2]
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  - conf/iconip/NugaliyaddeWPSL20
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Anupiya Nugaliyadde, Kok Wai Wong, Jeremy Parry, Ferdous Sohel, Hamid Laga, Upeka V. Somaratne, Chris Yeomans, Orchid Foster:
RCNN for Region of Interest Detection in Whole Slide Images. ICONIP (5) 2020: 625-632
2019
[c1]
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  - conf/dicta/SomaratneWPSWL19
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Upeka Somaratne, Kok Wai Wong, Jeremy Parry, Ferdous Sohel, Xuequn Wang, Hamid Laga:
Improving Follicular Lymphoma Identification using the Class of Interest for Transfer Learning. DICTA 2019: 1-7

Informal and Other Publications

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2020
[i2]
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  - journals/corr/abs-2009-07532
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Anupiya Nugaliyadde, Kok Wai Wong, Jeremy Parry, Ferdous Sohel, Hamid Laga, Upeka V. Somaratne, Chris Yeomans, Orchid Foster:
RCNN for Region of Interest Detection in Whole Slide Images. CoRR abs/2009.07532 (2020)
2019
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  - journals/corr/abs-1909-08182
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Anupiya Nugaliyadde, Upeka Somaratne, Kok Wai Wong:
Predicting Electricity Consumption using Deep Recurrent Neural Networks. CoRR abs/1909.08182 (2019)

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