Search Results for author: Tomas Ward

Found 9 papers, 5 papers with code

Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach

1 code implementation24 Feb 2021 Eoin Brophy, Maarten De Vos, Geraldine Boylan, Tomas Ward

To our knowledge, this framework is the first example of a GAN capable of continuous ABP generation from an input PPG signal that also uses a federated learning methodology.

Federated Learning Generative Adversarial Network +2

Optimizing the Level of Challenge in Stroke Rehabilitation using Iterative Learning Control: a Simulation

no code implementations11 Mar 2021 Sandra-Carina Noble, Tomas Ward, John V. Ringwood

The level of challenge in stroke rehabilitation has to be carefully chosen to keep the patient engaged and motivated while not frustrating them.

Generative adversarial networks in time series: A survey and taxonomy

1 code implementation23 Jul 2021 Eoin Brophy, Zhengwei Wang, Qi She, Tomas Ward

We propose a taxonomy of discrete-variant GANs and continuous-variant GANs, in which GANs deal with discrete time series and continuous time series data.

Time Series Time Series Analysis

Generation of Synthetic Electronic Health Records Using a Federated GAN

no code implementations6 Sep 2021 John Weldon, Tomas Ward, Eoin Brophy

It was shown that there was no significant reduction in the quality of the synthetic EHR when we moved between training a single central model and training on separate data silos with individual models before combining them into a central model.

Federated Learning Generative Adversarial Network +1

Exploration of Algorithmic Trading Strategies for the Bitcoin Market

1 code implementation28 Oct 2021 Nathan Crone, Eoin Brophy, Tomas Ward

This work brings an algorithmic trading approach to the Bitcoin market to exploit the variability in its price on a day-to-day basis through the classification of its direction.

Algorithmic Trading

ECG synthesis with Neural ODE and GAN models

no code implementations30 Oct 2021 Mansura Habiba, Eoin Brophy, Barak A. Pearlmutter, Tomas Ward

Continuous medical time series data such as ECG is one of the most complex time series due to its dynamic and high dimensional characteristics.

Generative Adversarial Network Time Series +2

Malware Classification Using Static Disassembly and Machine Learning

2 code implementations10 Dec 2021 Zhenshuo Chen, Eoin Brophy, Tomas Ward

Unlike dynamic behavior analysis, static analysis is resource-efficient and offers complete code coverage, but is vulnerable to code obfuscation and encryption.

BIG-bench Machine Learning Classification +1

Offline Detection of Misspelled Handwritten Words by Convolving Recognition Model Features with Text Labels

no code implementations18 Sep 2023 Andrey Totev, Tomas Ward

Offline handwriting recognition (HWR) has improved significantly with the advent of deep learning architectures in recent years.

Generative Adversarial Network Handwriting Recognition

Privacy-Aware Energy Consumption Modeling of Connected Battery Electric Vehicles using Federated Learning

1 code implementation12 Dec 2023 Sen Yan, Hongyuan Fang, Ji Li, Tomas Ward, Noel O'Connor, Mingming Liu

Our findings show that FL methods can effectively improve the performance of BEV energy consumption prediction while maintaining user privacy.

Federated Learning

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