233 citations · 821 across the 23 of their papers we have counts for
6 papers · 1 filter
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks
John Brennan, Stephen Bonner, Amir Atapour-Abarghouei +3
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 growi…
Neuronal graphs: a graph theory primer for microscopic, functional networks of neurons recorded by Calcium imaging
Carl J. Nelson, Stephen Bonner
Connected networks are a fundamental structure of neurobiology. Understanding these networks will help us elucidate the neural mechanisms of computation. Mathematically speaking th…
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing
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…
BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals
Otmane Sakhi, Stephen Bonner, David Rohde +1
A common task for recommender systems is to build a pro le of the interests of a user from items in their browsing history and later to recommend items to the user from the same ca…
Camera Bias in a Fine Grained Classification Task
Philip T. Jackson, Stephen Bonner, Ning Jia +3
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 mode…
Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI
Nik Khadijah Nik Aznan, Amir Atapour-Abarghouei, Stephen Bonner +2
Recently, substantial progress has been made in the area of Brain-Computer Interface (BCI) using modern machine learning techniques to decode and interpret brain signals. While Ele…