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Gamage, Hasini Nakulugamuwa
6  Ergebnisse:
Personensuche X
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1

A Robust Ensemble Regression Model for Reconstructing Genet..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
Gamage, Hasini Nakulugamuwa ; Chetty, Madhu ; Lim, Suryani.. - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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2

Ensemble Regression Modelling for Genetic Network Inference:

, In: 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB),
Gamage, Hasini Nakulugamuwa ; Chetty, Madhu ; Shatte, Adrian. - p. 1-8 , 2022
Link: https://doi.org/10.1109/..
 
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3

Filter feature selection based Boolean Modelling for Geneti..:

Gamage, Hasini Nakulugamuwa ; Chetty, Madhu ; Shatte, Adrian.
Biosystems.  221 (2022)  - p. 104757 , 2022
Link: https://doi.org/10.1016/..
 
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4

MICFuzzy: A maximal information content based fuzzy approac..:

Nakulugamuwa Gamage, Hasini ; Chetty, Madhu ; Lim, Suryani..
PLOS ONE.  18 (2023)  7 - p. e0288174 , 2023
Link: https://doi.org/10.1371/..
 
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5

GRAMP - Software, datasets and User manual:

Hasini Nakulugamuwa-Gamage ; Madhu Chetty ; Jennifer Hallinan.
doi:10.25955/24523087.v2.  , 2023
Link: https://doi.org/10.25955..
 
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6

GRAMP - Software, datasets and User manual:

Hasini Nakulugamuwa-Gamage ; Madhu Chetty ; Jennifer Hallinan.
doi:10.25955/24523087.v2.  , 2023
Link: https://doi.org/10.25955..
 
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