| Deep learning for patient-independent epileptic seizure prediction using scalp EEG signals T Dissanayake, T Fernando, S Denman, S Sridharan, C Fookes IEEE Sensors Journal 21 (7), 9377-9388, 2021 | 106* | 2021 |
| An ensemble learning approach for electrocardiogram sensor based human emotion recognition T Dissanayake, Y Rajapaksha, R Ragel, I Nawinne Sensors 19 (20), 4495, 2019 | 80 | 2019 |
| A robust interpretable deep learning classifier for heart anomaly detection without segmentation T Dissanayake, T Fernando, S Denman, S Sridharan, H Ghaemmaghami, ... IEEE Journal of Biomedical and Health Informatics 25 (6), 2162-2171, 2020 | 76* | 2020 |
| Geometric deep learning for subject independent epileptic seizure prediction using scalp EEG signals T Dissanayake, T Fernando, S Denman, S Sridharan, C Fookes IEEE Journal of Biomedical and Health Informatics 26 (2), 527-538, 2021 | 39 | 2021 |
| Domain generalization in biosignal classification T Dissanayake, T Fernando, S Denman, H Ghaemmaghami, S Sridharan, ... IEEE Transactions on Biomedical Engineering 68 (6), 1978-1989, 2020 | 16 | 2020 |
| Generalized generative deep learning models for biosignal synthesis and modality transfer T Dissanayake, T Fernando, S Denman, S Sridharan, C Fookes IEEE Journal of Biomedical and Health Informatics 27 (2), 968-979, 2022 | 5 | 2022 |
| Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization T Dissanayake, T Fernando, S Denman, S Sridharan, C Fookes Pattern Recognition 139, 109440, 2023 | 4 | 2023 |
| DConv-LSTM-Net: A Novel Architecture for Single and 12-Lead ECG Anomaly Detection. T Dissanayake, T Fernando, S Denman, S Sridharan, C Fookes IEEE Sensors Journal, 2023 | 1 | 2023 |
| Emotion Detection using Electrocardiogram and Machine Learning Techniques: A Review C De Silva, D De Silva, S Marzook, R Ragel, I Nawinne, ... | | |
Tharindu FernandoQueensland University of TechnologyVerified email at qut.edu.au
