Search Results for author: Eoin Brophy

Found 12 papers, 5 papers with code

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

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

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

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

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

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

Synthesis of Realistic ECG using Generative Adversarial Networks

3 code implementations19 Sep 2019 Anne Marie Delaney, Eoin Brophy, Tomas E. Ward

Finally, we discuss the privacy concerns associated with sharing synthetic data produced by GANs and test their ability to withstand a simple membership inference attack.

De-identification Inference Attack +3

A Neuro-AI Interface: Learning DNNs from the Human Brain

no code implementations28 May 2019 Zhengwei Wang, Qi She, Eoin Brophy, Alan F. Smeaton, Tomas E. Ward, Graham Healy

Deep neural networks (DNNs) are inspired from the human brain and the interconnection between the two has been widely studied in the literature.

Object Recognition Open-Ended Question Answering

Quick and Easy Time Series Generation with Established Image-based GANs

no code implementations14 Feb 2019 Eoin Brophy, Zhengwei Wang, Tomas E. Ward

In the recent years Generative Adversarial Networks (GANs) have demonstrated significant progress in generating authentic looking data.

Time Series Time Series Analysis +1

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