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Number of items: 9.

Goulding, James, Smith, Gavin and Engelmann, Gregor (2018) The unbanked and poverty: predicting area-level socio-economic vulnerability from M-Money transactions. In: 2018 IEEE International Conference on Big Data, 10-13 Dec 2018, Seattle, USA.

Rosser, Julian F., Smith, Gavin and Morley, Jeremy (2017) Data driven estimation of building interior plans. International Journal of Geographical Information Science, 31 (8). pp. 1652-1674. ISSN 1365-8824

Goulding, James, Preston, Simon P. and Smith, Gavin (2016) Event series prediction via non-homogeneous Poisson process modelling. In: 2016 IEEE International Conference on Data Mining (ICDM), 12-25 Dec 2016, Barcelona., Spain.

Smith, Gavin and Goulding, James (2015) A novel symbolization technique for time-series outlier detection. In: 2015 IEEE International Conference on Big Data, Oct 29 - Nov 1 2015, Santa Clara, California, USA.

Barrack, Duncan S., Goulding, James, Hopcraft, Keith, Preston, Simon and Smith, Gavin (2015) AMP: a new time-frequency feature extraction method for intermittent time-series data. In: 1st International Workshop on Mining and Learning from Time Series (MiLeTS), 10-13 August 2015, Sydney, Australia.

Rosser, Julian, Morley, Jeremy and Smith, Gavin (2015) Modelling of building interiors with mobile phone sensor data. ISPRS International Journal of Geo-Information, 4 (2). pp. 989-1012. ISSN 2220-9964

Pinchin, James, Smith, Gavin, Hill, Chris, Moore, Terry and Loram, Ian (2014) The potential of electromyography to aid personal navigation. In: 27th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2014), 8-12 Sept 2014, Tampa, Florida.

Smith, Gavin, Wieser, Romain, Goulding, James and Barrack, Duncan (2014) A refined limit on the predictability of human mobility. In: 2014 IEEE International Conference on Pervasive Computing and Communications (PerCom), 24-28 March 2014, Budapest, Hungary.

Smith, Gavin, Goulding, James and Barrack, Duncan (2013) Towards optimal symbolization for time series comparisons. In: IEEE 13th International Conference on Data Mining Workshops (ICDMW 2013), 7-10 Dec 2013, Dallas, Texas, USA.

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