An Ensemble Learning Approach for Electrocardiogram Sensor Based Human Emotion Recognition. - Theekshana Dissanayake; Yasitha Rajapaksha; Roshan G. Ragel; Isuru Nawinne (Sensors, 2019)

Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Houman Ghaemmaghami; Clinton Fookes (CoRR, 2020)

Patient-independent Epileptic Seizure Prediction using Deep Learning Models. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 2020)

Domain Generalization in Biosignal Classification. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Houman Ghaemmaghami; Sridha Sridharan; Clinton Fookes (IEEE Trans. Biomed. Eng., 2021)

A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Houman Ghaemmaghami; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2021)

Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2022)

Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (IEEE J. Biomed. Health Informatics, 2023)

Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization. - Theekshana Dissanayake; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (Pattern Recognit., 2023)