A refined limit on the predictability of human mobility G Smith, R Wieser, J Goulding, D Barrack Pervasive Computing and Communications (PerCom), 2014 IEEE International …, 2014 | 107 | 2014 |
Psychological and demographic predictors of plastic bag consumption in transaction data R Lavelle-Hill, J Goulding, G Smith, DD Clarke, PA Bibby Journal of Environmental Psychology 72, 101473, 2020 | 28 | 2020 |
Identifying food insecurity in food sharing networks via machine learning G Nica-Avram, J Harvey, G Smith, A Smith, J Goulding Journal of Business Research, 2020 | 27 | 2020 |
Evaluating implicit judgements from image search interactions G Smith, H Ashman | 27* | 2009 |
Model Class Reliance for Random Forests G Smith, R Mansilla, J Goulding Advances in Neural Information Processing Systems 33, 2020 | 24 | 2020 |
Evaluating implicit judgments from image search clickthrough data G Smith, C Brien, H Ashman Journal of the American Society for Information Science and Technology, 2012 | 24 | 2012 |
The Smart Home: How Consumers Craft New Service Networks by Combining Heterogeneous Smart Domestic Products J Harvey, M Poorrezaei, T Woodall, G Nica-Avram, G Smith, T Ajiboye, ... Journal of Service Research, 1094670520929095, 2020 | 20 | 2020 |
Modelling of Building Interiors with Mobile Phone Sensor Data J Rosser, J Morley, G Smith ISPRS International Journal of Geo-Information 4 (2), 989-1012, 2015 | 18 | 2015 |
The Unbanked and Poverty: Predicting area-level socio-economic vulnerability from M-Money transactions G Engelmann, G Smith, J Goulding 2018 IEEE International Conference on Big Data (Big Data), 1357-1366, 2018 | 17 | 2018 |
Are clickthroughs useful for image labelling? H Ashman, M Antunovic, C Donner, R Frith, E Rebelos, JF Schmakeit, ... Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web …, 2009 | 16 | 2009 |
Data-driven estimation of building interior plans JF Rosser, G Smith, JG Morley International Journal of Geographical Information Science, 1-23, 2017 | 13 | 2017 |
Event Series Prediction via Non-Homogeneous Poisson Process Modelling J Goulding, S Preston, G Smith Data Mining (ICDM), 2016 IEEE 16th International Conference on, 161-170, 2016 | 13 | 2016 |
Machine learning methods for “wicked” problems: exploring the complex drivers of modern slavery R Lavelle-Hill, G Smith, A Mazumder, T Landman, J Goulding Humanities and Social Sciences Communications 8 (1), 1-11, 2021 | 11 | 2021 |
Generating unambiguous URL clusters from web search G Smith, T Brailsford, C Donner, D Hooijmaijers, M Truran, J Goulding, ... Proceedings of the 2009 workshop on Web Search Click Data, 28-34, 2009 | 7 | 2009 |
Exogenous cognition and cognitive state theory: the plexus of consumer analytics and decision-making A Smith, J Harvey, J Goulding, G Smith, L Sparks Marketing Theory, 1470593120964947, 2020 | 6 | 2020 |
The potential of electromyography to aid personal navigation J Pinchin, G Smith, C Hill, T Moore, I Loram | 5 | 2014 |
Implicit association via crowd-sourced coselection H Ashman, M Antunovic, S Chaprasit, G Smith, M Truran Proceedings of the 22nd ACM conference on Hypertext and hypermedia, 7-16, 2011 | 5 | 2011 |
Classifying images with image and text search clickthrough data G Smith, M Antunovic, H Ashman Active Media Technology, 385-396, 2009 | 5 | 2009 |
AMP: a new time-frequency feature extraction method for intermittent time-series data D Barrack, J Goulding, K Hopcraft, S Preston, G Smith SIGKDD Workshop on Mining and Learning from Time Series, 2015 | 4 | 2015 |
Improving Route Prediction through User Journey Detection M Dimond, G Smith, J Goulding ACM SIGSPATIAL International Conference on Advances in Geographic …, 2013 | 4 | 2013 |