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Eoin Brophy
Eoin Brophy
Infant Research Centre, Dublin City University
Verified email at mail.dcu.ie - Homepage
Title
Cited by
Cited by
Year
Synthesis Of Realistic ECG Using Generative Adversarial Networks
AM Delaney, E Brophy, TE Ward
arXiv preprint arXiv:1909.09150, 2019
402019
Quick and easy time series generation with established image-based GANs
E Brophy, Z Wang, TE Ward
arXiv preprint arXiv:1902.05624, 2019
312019
A machine vision approach to human activity recognition using photoplethysmograph sensor data
E Brophy, JJD Veiga, Z Wang, TE Ward
2018 29th Irish Signals and Systems Conference (ISSC), 1-6, 2018
202018
Generative adversarial networks in time series: A survey and taxonomy
E Brophy, Z Wang, Q She, T Ward
arXiv preprint arXiv:2107.11098, 2021
132021
Optimised convolutional neural networks for heart rate estimation and human activity recognition in wrist worn sensing applications
E Brophy, W Muehlhausen, AF Smeaton, TE Ward
arXiv preprint arXiv:2004.00505, 2020
102020
Iros 2019 lifelong robotic vision: Object recognition challenge [competitions]
H Bae, E Brophy, RHM Chan, B Chen, F Feng, G Graffieti, V Goel, X Hao, ...
IEEE Robotics & Automation Magazine 27 (2), 11-16, 2020
72020
Cnns for heart rate estimation and human activity recognition in wrist worn sensing applications
E Brophy, W Muehlhausen, AF Smeaton, TE Ward
2020 IEEE International Conference on Pervasive Computing and Communications …, 2020
72020
Synthesis of Realistic ECG using Generative Adversarial Networks. arXiv 2019
AM Delaney, E Brophy, TE Ward
arXiv preprint arXiv:1909.09150, 2019
72019
Synthesis of dependent multichannel ECG using generative adversarial networks
E Brophy
Proceedings of the 29th ACM International Conference on Information …, 2020
62020
Generation of synthetic electronic health records using a federated GAN
J Weldon, T Ward, E Brophy
arXiv preprint arXiv:2109.02543, 2021
42021
Estimation of continuous blood pressure from ppg via a federated learning approach
E Brophy, M De Vos, G Boylan, T Ward
Sensors 21 (18), 6311, 2021
32021
Multivariate generative adversarial networks and their loss functions for synthesis of multichannel ecgs
E Brophy, M De Vos, G Boylan, T Ward
IEEE Access 9, 158936-158945, 2021
22021
Improved Speech Synthesis using Generative Adversarial Networks.
D Gunasekaran, G Venkatraj, E Brophy, T Ward
AICS, 241-252, 2020
22020
Denoising EEG signals for Real-World BCI Applications using GANs
E Brophy, P Redmond, A Fleury, M De Vos, G Boylan, TE Ward
Frontiers in Neuroergonomics, 44, 2022
12022
IROS 2019 Lifelong Robotic Vision Challenge--Lifelong Object Recognition Report
Q She, F Feng, Q Liu, RHM Chan, X Hao, C Lan, Q Yang, V Lomonaco, ...
arXiv preprint arXiv:2004.14774, 2020
12020
Improved Electrode Motion Artefact Denoising in ECG using Convolutional Neural Networks and a Custom Loss Function
E Brophy, B Hennelly, M De Vos, G Boylan, T Ward
IEEE Access, 2022
2022
Malware Classification Using Static Disassembly and Machine Learning
Z Chen, E Brophy, T Ward
arXiv preprint arXiv:2201.07649, 2021
2021
Exploration of Algorithmic Trading Strategies for the Bitcoin Market
N Crone, E Brophy, T Ward
arXiv preprint arXiv:2110.14936, 2021
2021
Artifact Abstract: CNNs for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications
E Brophy, W Muehlhausen, AF Smeaton, TE Ward
2020 IEEE International Conference on Pervasive Computing and Communications …, 2020
2020
A novel approach to using machine learning algorithms for fraud detection in real world data from wrist worn wearable devices
W Muehlhausen, L Zhang, E Brophy, T Ward
QUALITY OF LIFE RESEARCH 28, S177-S178, 2019
2019
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