3 citations · 5 across the 2 of their papers we have counts for
5 papers
Targeted Angular Reversal of Weights (TARS) for Knowledge Removal in Large Language Models
Harry J. Davies, Giorgos Iacovides, Danilo P. Mandic
The sheer scale of data required to train modern large language models (LLMs) poses significant risks, as models are likely to gain knowledge of sensitive topics such as bio-securi…
In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders
Edoardo Occhipinti, Marek Zylinski, Harry J. Davies +5
The cardiac dipole has been shown to propagate to the ears, now a common site for consumer wearable electronics, enabling the recording of electrocardiogram (ECG) signals. However,…
Interpretable Pre-Trained Transformers for Heart Time-Series Data
Harry J. Davies, James Monsen, Danilo P. Mandic
Decoder-only transformers are the backbone of the popular generative pre-trained transformer (GPT) series of large language models. In this work, we employ this framework to the an…
A Deep Matched Filter For R-Peak Detection in Ear-ECG
Harry J. Davies, Ghena Hammour, Marek Zylinski +2
The Ear-ECG provides a continuous Lead I electrocardiogram (ECG) by measuring the potential difference related to heart activity using electrodes that can be embedded within earpho…
Hearables: Ear EEG Based Driver Fatigue Detection
Metin C. Yarici, Pierluigi Amadori, Harry Davies +4
Ear EEG based driver fatigue monitoring systems have the potential to provide a seamless, efficient, and feasibly deployable alternative to existing scalp EEG based systems, which…