no code implementations • 10 Apr 2024 • Matthew Kent Myers, Nick Wright, A. Stephen McGough, Nicholas Martin
In order to facilitate online action segmentation on a stream of incoming video data, we introduce two methods for improved training and inference of backbone action recognition models, allowing them to be deployed directly for online frame level classification.
no code implementations • 2 Apr 2024 • Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough
The boundless possibility of neural networks which can be used to solve a problem -- each with different performance -- leads to a situation where a Deep Learning expert is required to identify the best neural network.
no code implementations • 22 Dec 2023 • Georgia Atkinson, Nick Wright, A. Stephen McGough, Per Berggren
In recent years generative adversarial networks (GANs) have been used to supplement datasets within the field of marine bioacoustics.
no code implementations • 29 Nov 2023 • Mohamad Khalil, A. Stephen McGough, Hussain Kazmi, Sara Walker
Forecasting building energy consumption has become a promising solution in Building Energy Management Systems for energy saving and optimization.
no code implementations • 26 Nov 2023 • Ayse Betul Cengiz, A. Stephen McGough
Training a ResNet18 network on varying subsets of these datasets to evaluate `more data gives better results'.
1 code implementation • 25 Nov 2023 • Atif Khan, Conor Lawless, Amy Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough
We believe that fully automated, precise, reproducible segmentation is possible by training ML models.
1 code implementation • 18 Nov 2023 • Atif Khan, Conor Lawless, Amy Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough
There is currently no tool or pipeline that makes automatic and precise segmentation and curation of images of SM tissue cross-sections possible.
no code implementations • 7 Dec 2022 • Cameron Trotter, Nick Wright, A. Stephen McGough, Matt Sharpe, Barbara Cheney, Mònica Arso Civil, Reny Tyson Moore, Jason Allen, Per Berggren
Photo-identification (photo-id) is one of the main non-invasive capture-recapture methods utilised by marine researchers for monitoring cetacean (dolphin, whale, and porpoise) populations.
no code implementations • 31 Oct 2022 • Atif Khan, Conor Lawless, Amy E Vincent, Satish Pilla, Sushanth Ramesh, A. Stephen McGough
Mitochondrial diseases are currently untreatable due to our limited understanding of their pathology.
no code implementations • 10 Sep 2021 • Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
A lowering in the cost of batteries and solar PV systems has led to a high uptake of solar battery home systems.
no code implementations • 7 Mar 2021 • Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Through the prediction of electricity demand profile over the next 24h, we can simulate the predictions made for a day-ahead market.
no code implementations • 8 Nov 2020 • Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
If any single generator company, or a collaborating group of generator companies, control more than ${\sim}$11$\%$ of generation capacity and bid strategically, prices begin to increase by ${\sim}$25$\%$.
no code implementations • 2 Nov 2020 • Alexander J. M. Kell, Pablo Salas, Jean-Francois Mercure, Matthew Forshaw, A. Stephen McGough
A change from a high-carbon emitting electricity power system to one based on renewables would aid in the mitigation of climate change.
no code implementations • 28 May 2020 • Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
A way to achieve this is to decarbonize the electricity grid.
no code implementations • 27 May 2020 • Cameron Trotter, Georgia Atkinson, Matt Sharpe, Kirsten Richardson, A. Stephen McGough, Nick Wright, Ben Burville, Per Berggren
We introduce the Northumberland Dolphin Dataset 2020 (NDD20), a challenging image dataset annotated for both coarse and fine-grained instance segmentation and categorisation.
no code implementations • 6 Oct 2019 • Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
A Pareto frontier can be used to identify the sets of optimal parameters for which each is the `best' for a given combination of objectives -- thus allowing decisions to be made with full knowledge.
no code implementations • 7 Aug 2019 • Cameron Trotter, Georgia Atkinson, Matthew Sharpe, A. Stephen McGough, Nick Wright, Per Berggren
Methods for cetacean research include photo-identification (photo-id) and passive acoustic monitoring (PAM) which generate thousands of images per expedition that are currently hand categorised by researchers into the individual dolphins sighted.
no code implementations • 20 Nov 2018 • Tom Ryder, Andrew Golighty, A. Stephen McGough, Dennis Prangle
State-space models (SSMs) provide a flexible framework for modelling time-series data.
no code implementations • 22 Oct 2018 • Amit Gajbhiye, Sardar Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley
In this paper, we propose a novel RNN model for NLI and empirically evaluate the effect of applying dropout at different layers in the model.
no code implementations • 19 Oct 2018 • A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
We demonstrate, through the use of simulation, how we can reduce this wasted energy by targeting tasks at computers less likely to be needed for primary use, predicting this idle time through machine learning.
2 code implementations • ICML 2018 • Thomas Ryder, Andrew Golightly, A. Stephen McGough, Dennis Prangle
Parameter inference for stochastic differential equations is challenging due to the presence of a latent diffusion process.
no code implementations • 17 Jun 2016 • Noura Al Moubayed, Toby Breckon, Peter Matthews, A. Stephen McGough
In This paper we present a novel approach to spam filtering and demonstrate its applicability with respect to SMS messages.