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Tharindu Fernando
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Soft+ hardwired attention: An lstm framework for human trajectory prediction and abnormal event detection
T Fernando, S Denman, S Sridharan, C Fookes
Neural networks 108, 466-478, 2018
4002018
Deep Learning for Medical Anomaly Detection--A Survey
T Fernando, H Gammulle, S Denman, S Sridharan, C Fookes
ACM Computing Surveys, 2021
3022021
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
159*2021
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
102*2020
Identification of children at risk of schizophrenia via deep learning and EEG responses
D Ahmedt-Aristizabal, T Fernando, S Denman, JE Robinson, S Sridharan, ...
IEEE Journal of biomedical and health informatics 25 (1), 69-76, 2020
1002020
Heart sound segmentation using bidirectional LSTMs with attention
T Fernando, H Ghaemmaghami, S Denman, S Sridharan, N Hussain, ...
IEEE journal of biomedical and health informatics 24 (6), 1601-1609, 2019
932019
Attention driven fusion for multi-modal emotion recognition
D Priyasad, T Fernando, S Denman, S Sridharan, C Fookes
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
912020
Tracking by prediction: A deep generative model for mutli-person localisation and tracking
T Fernando, S Denman, S Sridharan, C Fookes
2018 IEEE Winter conference on applications of computer vision (WACV), 1122-1132, 2018
892018
Gd-gan: Generative adversarial networks for trajectory prediction and group detection in crowds
T Fernando, S Denman, S Sridharan, C Fookes
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
842019
Neural memory networks for robust classification of seizure type
D Ahmedt Aristizabal, T Warnakulasuriya, S Denman, L Petersson, ...
Cornell University Library/arXiv, 2019
76*2019
Deep inverse reinforcement learning for behavior prediction in autonomous driving: Accurate forecasts of vehicle motion
T Fernando, S Denman, S Sridharan, C Fookes
IEEE Signal Processing Magazine 38 (1), 87-96, 2020
692020
Tree memory networks for modelling long-term temporal dependencies
T Fernando, S Denman, A McFadyen, S Sridharan, C Fookes
Neurocomputing 304, 64-81, 2018
652018
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
632021
Detection of fake and fraudulent faces via neural memory networks
T Fernando, C Fookes, S Denman, S Sridharan
IEEE Transactions on Information Forensics and Security 16, 1973-1988, 2020
58*2020
Going Deeper: Autonomous Steering With Neural Memory Networks
T Fernando, S Denman, S Sridharan, C Fookes
Proceedings of the IEEE Conference on Computer Vision, 214-221, 2017
582017
Neural memory plasticity for medical anomaly detection
T Fernando, S Denman, D Ahmedt-Aristizabal, S Sridharan, KR Laurens, ...
Neural Networks 127, 67-81, 2020
542020
Discovering Methods of Scoring in Soccer Using Tracking Data
T Fernando, X Wei, C Fookes, S Sridharan, P Lucey
41*2015
Memory augmented deep generative models for forecasting the next shot location in tennis
T Fernando, S Denman, S Sridharan, C Fookes
IEEE Transactions on Knowledge and Data Engineering 32 (9), 1785-1797, 2019
402019
A comprehensive review of harmonic issues and estimation techniques in power system networks based on traditional and artificial intelligence/machine learning
A Taghvaie, T Warnakulasuriya, D Kumar, F Zare, R Sharma, ...
Ieee Access 11, 31417-31442, 2023
392023
Interpretable seizure classification using unprocessed EEG with multi-channel attentive feature fusion
D Priyasad, T Fernando, S Denman, S Sridharan, C Fookes
IEEE Sensors Journal 21 (17), 19186-19197, 2021
362021
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