1 code implementation • 13 Dec 2021 • Stephen Bonner, Ufuk Kirik, Ola Engkvist, Jian Tang, Ian P Barrett
We provide support for this observation across different datasets, models as well as predictive tasks.
3 code implementations • 4 Nov 2021 • Benedek Rozemberczki, Stephen Bonner, Andriy Nikolov, Michael Ughetto, Sebastian Nilsson, Eliseo Papa
In recent years, numerous machine learning models which attempt to solve polypharmacy side effect identification, drug-drug interaction prediction and combination therapy design tasks have been proposed.
no code implementations • 20 May 2021 • Cheng Ye, Rowan Swiers, Stephen Bonner, Ian Barrett
We created a three dimensional data tensor consisting of 1, 048 gene targets, 860 diseases and 230, 011 evidence attributes and clinical outcomes connecting them, using data extracted from the Open Targets and PharmaProjects databases.
2 code implementations • 17 May 2021 • Stephen Bonner, Ian P Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, Charles Tapley Hoyt, William L Hamilton
Knowledge Graphs (KG) and associated Knowledge Graph Embedding (KGE) models have recently begun to be explored in the context of drug discovery and have the potential to assist in key challenges such as target identification.
2 code implementations • 19 Feb 2021 • Stephen Bonner, Ian P Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, Andreas Bender, Charles Tapley Hoyt, William L Hamilton
We aim to help guide machine learning and KG practitioners who are interested in applying new techniques to the drug discovery field, but who may be unfamiliar with the relevant data sources.
no code implementations • 23 Oct 2020 • John Brennan, Stephen Bonner, Amir Atapour-Abarghouei, Philip T Jackson, Boguslaw Obara, Andrew Stephen McGough
With the growing significance of graphs as an effective representation of data in numerous applications, efficient graph analysis using modern machine learning is receiving a growing level of attention.
1 code implementation • 10 Sep 2020 • Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough
Text classification has long been a staple within Natural Language Processing (NLP) with applications spanning across diverse areas such as sentiment analysis, recommender systems and spam detection.
no code implementations • 28 Aug 2020 • Otmane Sakhi, Stephen Bonner, David Rohde, Flavian vasile
In contrast, the organic signal is typically strong and covers most items, but is not always relevant to the recommendation task.
1 code implementation • 16 Jul 2020 • Nik Khadijah Nik Aznan, Amir Atapour-Abarghouei, Stephen Bonner, Jason D. Connolly, Toby P. Breckon
Our approach, entitled the Subject Invariant SSVEP Generative Adversarial Network (SIS-GAN), produces synthetic EEG data from multiple SSVEP classes using a single network.
Signal Processing Image and Video Processing
no code implementations • 16 Jul 2020 • Philip T. Jackson, Stephen Bonner, Ning Jia, Christopher Holder, Jon Stonehouse, Boguslaw Obara
We show that correlations between the camera used to acquire an image and the class label of that image can be exploited by convolutional neural networks (CNN), resulting in a model that "cheats" at an image classification task by recognizing which camera took the image and inferring the class label from the camera.
no code implementations • 2 Oct 2019 • Otmane Sakhi, Stephen Bonner, David Rohde, Flavian vasile
The combination of the re-parameterization trick with the use of variational auto-encoders has caused a sensation in Bayesian deep learning, allowing the training of realistic generative models of images and has considerably increased our ability to use scalable latent variable models.
1 code implementation • 21 Aug 2019 • Stephen Bonner, Amir Atapour-Abarghouei, Philip T. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
Graphs have become a crucial way to represent large, complex and often temporal datasets across a wide range of scientific disciplines.
Social and Information Networks
1 code implementation • 19 Aug 2019 • Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough
In this paper, we investigate the possibility of classifying the ransomware a system is infected with simply based on a screenshot of the splash screen or the ransom note captured using a consumer camera commonly found in any modern mobile device.
no code implementations • pproximateinference AABI Symposium 2019 • David Rohde, Stephen Bonner
An attractive feature of the latent variable approach is that, as the user continues to act, the posterior on the user's state tightens reflecting the recommender system's increased knowledge about that user.
no code implementations • 10 Apr 2019 • Stephen Bonner, Flavian vasile
Recommendations are commonly used to modify user's natural behavior, for example, increasing product sales or the time spent on a website.
1 code implementation • 15 Jan 2019 • Nik Khadijah Nik Aznan, Amir Atapour-Abarghouei, Stephen Bonner, Jason Connolly, Noura Al Moubayed, Toby Breckon
Despite significant recent progress in the area of Brain-Computer Interface (BCI), there are numerous shortcomings associated with collecting Electroencephalography (EEG) signals in real-world environments.
Quantitative Methods Signal Processing
1 code implementation • 28 Nov 2018 • Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough
But, also, it has the ability to predict execution times for scenarios unseen in the training data.
1 code implementation • 20 Nov 2018 • Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
Graphs are a commonly used construct for representing relationships between elements in complex high dimensional datasets.
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.
1 code implementation • 14 Sep 2018 • Philip T. Jackson, Amir Atapour-Abarghouei, Stephen Bonner, Toby Breckon, Boguslaw Obara
In addition to standard classification experiments, we investigate the effect of style augmentation (and data augmentation generally) on domain transfer tasks.
1 code implementation • 2 Aug 2018 • David Rohde, Stephen Bonner, Travis Dunlop, Flavian vasile, Alexandros Karatzoglou
Recommender Systems are becoming ubiquitous in many settings and take many forms, from product recommendation in e-commerce stores, to query suggestions in search engines, to friend recommendation in social networks.
2 code implementations • 19 Jun 2018 • Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
To explore this, we present extensive experimental evaluation from five state-of-the-art unsupervised graph embedding techniques, across a range of empirical graph datasets, measuring a selection of topological features.
1 code implementation • 23 Jun 2017 • Stephen Bonner, Flavian vasile
Many current applications use recommendations in order to modify the natural user behavior, such as to increase the number of sales or the time spent on a website.