Main > MRM46
Maria Mestre 
Background -
Research -
Publications
Position: Research student
E-mail: mrm46 [at] cam.ac.uk
Thesis Title: Applications of Bayesian statistics on biological and retail data
Supervisor: Prof. William J. Fitzgerald
Background
Maria Mestre graduated from Imperial College in Electrical and Electronic Engineering in 2010. She is now a graduate student at the Signal Processing Lab in the department of Engineering in Cambridge, and has a collaboration with Cambridge-based company Featurespace.
Research Interests
Modelling of biological time series
Changepoint detection
Tracking and prediction of consumer data
Publications
EEG modelling
Mestre, M.R.; Fitzgerald, W.J., "Comparison of Gaussian process models for single-trial event-related potentials,"
Statistical Signal Processing Workshop (SSP), 2012 IEEE , vol., no., pp.428,431, 5-8 Aug. 2012
Mestre M.R.; Godsill S. J.; Fitzgerald W. J., "Bayesian detection of single-trial event-related potentials", Accepted to
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
Automatic detection of single-trial event-related potentials [submitted draft]
Retail data modelling
Mestre, M.R.; Fitzgerald, W.J., "Multi-target tracking applied to evolutionary clustering,"
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013
Mestre, M.R.; Vitoria, P., "Tracking of consumer behaviour in E-commerce,"
16th International Conference on Information Fusion, 2013
