2 citations · 5 across the 6 of their papers we have counts for
4 papers · 1 filter
Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation
Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed +1
This paper addresses the challenge of humanoid robot teleoperation in a natural indoor environment via a Brain-Computer Interface (BCI). We leverage deep Convolutional Neural Netwo…
An Exploration of Dropout with RNNs for Natural Language Inference
Amit Gajbhiye, Sardar Jaf, Noura Al Moubayed +2
Dropout is a crucial regularization technique for the Recurrent Neural Network (RNN) models of Natural Language Inference (NLI). However, dropout has not been evaluated for the eff…
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments
A. Stephen McGough, Matthew Forshaw, John Brennan +2
High Throughput Computing (HTC) provides a convenient mechanism for running thousands of tasks. Many HTC systems exploit computers which are provisioned for other purposes by utili…
On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks
Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly +2
In this paper, we propose a novel Convolutional Neural Network (CNN) approach for the classification of raw dry-EEG signals without any data pre-processing. To illustrate the effec…