Items where Author is "Ghosh, Siddhartha"
Group by: Item Type | No Grouping Jump to: Article | Conference or Workshop Item Number of items: 8. ArticleGhosh, Siddhartha and Reece, Steven and Rogers, Alex and Roberts, Stephen J and Malibari, Areej and Jennings, Nicholas R (2015) Modelling the thermal dynamics of buildings: a latent force model based approach. ACM Transactions on Intelligent Systems and Technology, 6 (1). pp. 1-27. (In Press) Parson, Oliver and Ghosh, Siddhartha and Weal, Mark and Rogers, Alex (2014) An Unsupervised Training Method for Non-intrusive Appliance Load Monitoring. Artificial Intelligence (217). pp. 1-19. ISSN 0004-3702 Reece, Steven and Roberts, Stephen J and Ghosh, Siddhartha and Rogers, Alex and Jennings, Nicholas R (2014) Efficient state-space inference of periodic latent force models. Journal of Machine Learning Research. pp. 1-66. (In Press) Parson, Oliver and Ghosh, Siddhartha and Weal, M and Rogers, Alex (2011) Using hidden Markov models for iterative non-intrusive appliance monitoring. Neural Information Processing Systems workshop on Machine Learning for Sustainability. Conference or Workshop ItemMalik, Obaid and Rogers, Alex and Ghosh, Siddhartha (2015) A noise scaled semi parametric gaussian process model for real time water network leak detection in the presence of heteroscedasticity. In: AAAI-15: Twenty-Ninth Conference on Artificial Intelligence, 25-30 January 2015, Austin, Tx, US. Rogers, Alex and Ghosh, Siddhartha and Wilcock, Reuben and Jennings, Nicholas R (2013) A Scalable Low-Cost Solution to Provide Personalised Home Heating Advice to Households. In: 5th ACM Workshop On Embedded Systems For Energy-Efficient Buildings (BuildSys), 13-14 November 2013, Rome, Italy. Rogers, Alex and Wilcock, Reuben and Ghosh, Siddhartha and Jennings, Nicholas R (2012) A Scalable Low-Cost Solution to Provide Personalized Home Heating Advice to Households. In: BuildSys 2012, 6 November 2012, Toronto, Canada. Parson, Oliver and Ghosh, Siddhartha and Weal, Mark and Rogers, Alex (2012) Non-intrusive load monitoring using prior models of general appliance types. In: Twenty-Sixth Conference on Artificial Intelligence (AAAI-12), 22-26 July 2012, Toronto, Canada. |