Theekshana Dissanayake

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 9

Top Topics

Classification Models

Epileptic Seizures

Anomaly Detection

Top Venues

IEEE J. Biomed. Health Informatics

Pattern Recognit.

Publications

Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer. IEEE J. Biomed. Health Informatics 27 (2) (2023)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization. Pattern Recognit. 139 (2023)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals. IEEE J. Biomed. Health Informatics 26 (2) (2022)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes
A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes
Domain Generalization in Biosignal Classification. IEEE Trans. Biomed. Eng. 68 (6) (2021)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes
Domain Generalization in Biosignal Classification. CoRR (2020)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes
Patient-independent Epileptic Seizure Prediction using Deep Learning Models. CoRR (2020)
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes
Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection. CoRR (2020)
Theekshana Dissanayake, Yasitha Rajapaksha, Roshan G. Ragel, Isuru Nawinne
An Ensemble Learning Approach for Electrocardiogram Sensor Based Human Emotion Recognition. Sensors 19 (20) (2019)