Theekshana Dissanayake - researchr alias

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Viewing Publication 1 - 6 from 6

2023

Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality TransferTheekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes. titb, 27(2):968-979, February 2023. [doi]

Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localizationTheekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes. PR, 139:109440, July 2023. [doi]

2022

Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG SignalsTheekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes. titb, 26(2):527-538, 2022. [doi]

2021

A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without SegmentationTheekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes. titb, 25(6):2162-2171, 2021. [doi]

Domain Generalization in Biosignal ClassificationTheekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes. tbe, 68(6):1978-1989, 2021. [doi]

2019

An Ensemble Learning Approach for Electrocardiogram Sensor Based Human Emotion RecognitionTheekshana Dissanayake, Yasitha Rajapaksha, Roshan G. Ragel, Isuru Nawinne. sensors, 19(20):4495, 2019. [doi]

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