James Thompson
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2021
Detecting Ground Deformation in the Built Environment Using Sparse Satellite InSAR Data With a Convolutional Neural Network.
IEEE Trans. Geosci. Remote. Sens., 2021
2020
Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data.
CoRR, 2020
2017
Proc. Natl. Acad. Sci. USA, 2017
The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017
Catching clouds: Simultaneous optimization of the parameters of biological agent plumes using Dirichlet processes to best estimate infection source location.
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017
Optimisation of Preparedness and Response of Health Services in Major Crises Using the IMPRESS Platform.
Proceedings of the Recent Advances in Computational Optimization, 2017
2015
2014
2012
Poking fun at the surface: exploring touch-point overloading on the multi-touch tabletop with child users.
Proceedings of the BCS-HCI '12 Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers, 2012
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012
2011
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011
2007
Proceedings of the First IEEE Symposium on Artificial Life, 2007
2006
Correction: genetic algorithm learning as a robust approach to RNA editing site site prediction.
BMC Bioinform., 2006
BMC Bioinform., 2006
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006
2005
Optimisation of client trust by evolutionary learning of financial planning strategies in an agent based model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005