Using GIS and large-scale digital data to implement hedonic pricing studies. - Iain R. Lake; Andrew A. Lovett; Ian J. Bateman; Brett Day (Int. J. Geogr. Inf. Sci., 2000)

Extracting information from spatial datasets. - Andrew P. Jones; Iain R. Lake (Comput. Environ. Urban Syst., 2007)

Deep Learning for Relevance Filtering in Syndromic Surveillance: A Case Study in Asthma/Difficulty Breathing. - Oduwa Edo-Osagie; Beatriz de la Iglesia; Iain Lake; Obaghe Edeghere (ICPRAM, 2019)

Attention-Based Recurrent Neural Networks (RNNs) for Short Text Classification: An Application in Public Health Monitoring. - Oduwa Edo-Osagie; Iain Lake; Obaghe Edeghere; Beatriz de la Iglesia (IWANN (1), 2019)

Comparison of statistical algorithms for daily syndromic surveillance aberration detection. - Angela Noufaily; Roger A. Morbey; Felipe J. Colón-González; Alex J. Elliot; Gillian E. Smith; Iain R. Lake; Noel D. McCarthy (Bioinform., 2019)

Clustering Imputation for Air Pollution Data. - Wedad Alahamade; Iain Lake; Claire E. Reeves; Beatriz de la Iglesia (HAIS, 2020)

An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis. - Oduwa Edo-Osagie; Beatriz de la Iglesia; Iain Lake; Obaghe Edeghere (HAIS, 2020)

A scoping review of the use of Twitter for public health research. - Oduwa Edo-Osagie; Beatriz de la Iglesia; Iain Lake; Obaghe Edeghere (Comput. Biol. Medicine, 2020)

A multi-variate time series clustering approach based on intermediate fusion: A case study in air pollution data imputation. - Wedad Alahamade; Iain Lake; Claire E. Reeves; Beatriz de la Iglesia (Neurocomputing, 2022)