A Survey of Ambient Intelligence R Dunne, T Morris, S Harper ACM Computing Surveys (CSUR) 54 (4), 1-27, 2021 | 50 | 2021 |
To sign up, or not to sign up? Maximizing citizen science contribution rates through optional registration C Jay, R Dunne, D Gelsthorpe, M Vigo Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016 | 29 | 2016 |
High accuracy classification of COVID-19 coughs using Mel-frequency cepstral coefficients and a Convolutional Neural Network with a use case for smart home devices R Dunne, T Morris, S Harper | 21 | 2020 |
A semantic blocks model for human activity prediction in smart environments using time-windowed contextual data R Dunne, T Morris, S Harper Journal of Reliable Intelligent Environments 9 (1), 87-95, 2023 | 3 | 2023 |
PO-047 Etarget: a digital science solution to integrate clinical and genomic data for the manchester molecular tumour board (MTB) J Stevenson, M Ayub, S Dransfield, E Shing, D Barley, R Dunne, ... ESMO Open 3, A245-A246, 2018 | 3 | 2018 |
Computational methods for predicting human behaviour in smart environments R Dunne, O Matthews, J Vega, S Harper, T Morris Journal of Ambient Intelligence and Smart Environments 15 (2), 179-205, 2023 | 2 | 2023 |
Novel methods for human activity prediction in ambient intelligence and smart environments using auditory and contextual data R Dunne University of Manchester, 2023 | | 2023 |
Improved classification accuracy of low quality MFCC audio data from Google AudioSet using audio filters and an ensemble of convolutional neural networks R Dunne, T Morris, S Harper | | 2020 |
Behavioural Probability Matrix: A Computational Interface for Human Behaviour Prediction in Smart Environments R Dunne Measuring Behaviour 2018, 2018 | | 2018 |