Items where Author is "Phillipson, Jordan"

Journal Article

Bassett, Richard and Janes-Bassett, Victoria and Phillipson, Jordan and Young, Paul and Blair, Gordon (2021) Climate driven trends in London’s urban heat island intensity reconstructed over 70 years using a generalized additive model. Urban Climate, 40: 100990. ISSN 2212-0955

Blair, Gordon and Bassett, Richard and Bastin, L and Beevers, Lindsay and Borrajo Garcia, Maribel and Brown, Mike and Dance, Sarah and Dionescu, Ada and Edwards, Liz and Ferrario, Maria Angela and Fraser, Rob and Fraser, Harriet and Gardner, Simon and Henrys, P.A and Hey, Tony and Homann, Stuart and Huijbers, Chantal and Hutchison, James and Jonathan, Philip and Lamb, Rob and Laurie, Sophie and Leeson, Amber and Leslie, David and McMillan, Mal and Nundloll, Vatsala and Oyebamiji, Oluwole and Phillipson, Jordan and Pope, Vicky and Prudden, Rachel and Reis, Stefan and Salama, Maria and Samreen, Faiza and Sejdinovic, D. and Simm, William and Street, Roger and Thornton, Lauren and Towe, Ross and Vande Hey, Joshua D. and Vieno, Massimo and Waller, Joanne and Watkins, John (2021) The Role of Digital Technologies in Responding to the Grand Challenges of the Natural Environment : The Windermere Accord. Patterns, 2 (1): 100156. ISSN 2666-3899

Contribution in Book/Report/Proceedings

Phillipson, Jordan and Blair, Gordon and Henrys, Peter (2020) Quantifying Uncertainty for Estimates Derived from Error Matrices in Land Cover Mapping Applications : The Case for a Bayesian Approach. In: Environmental Software Systems. Data Science in Action : 13th IFIP WG 5.11 International Symposium, ISESS 2020, Wageningen, The Netherlands, February 5–7, 2020, Proceedings. IFIP Advances in Information and Communication Technology . Springer, Cham, pp. 151-164. ISBN 9783030398149

Phillipson, Jordan and Blair, Gordon and Henrys, Peter (2019) Uncertainty quantification in classification problems : A Bayesian approach for predicting the effects of further test sampling. In: Proceedings of MODSIM2019, 23rd International Congress on Modelling and Simulation :. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Canberra, pp. 193-199. ISBN 9780975840092

Thesis

Phillipson, Jordan and Blair, Gordon and Henrys, Peter (2024) Managing uncertainty in machine learning techniques : An investigation of adaptive sampling strategies through land cover mappings. PhD thesis, Lancaster University.