Martin Neil is affiliated with Queen Mary University of London in the United Kingdom. Their research primarily lies within the field of Computer Science, with a strong focus on Artificial Intelligence, Management Science and Operations Research, Information Systems, Statistics, Probability and Uncertainty, and Sociology and Political Science.
Their work centers on topics including Bayesian Modeling and Causal Inference, Risk and Safety Analysis, Bayesian Methods and Mixture Models, Machine Learning in Healthcare, COVID-19 epidemiological studies, COVID-19 Digital Contact Tracing, and Data Quality and Management.
Among recent publications authored or co-authored by Martin Neil are:
Martin Neil frequently collaborates with other researchers, including Norman Fenton, Scott McLachlan, Magda Osman, Evangelia Kyrimi, and Joshua L. Hunte.
Their published work appears in a variety of academic venues, most commonly in the following:
N.E. Fenton;M. Neil
Norman Fenton;Martin Neil
Norman E. Fenton;Martin Neil
Martin Neil;So p
Martin Neil;Norman Fenton;Lars Nielson
Norman E. Fenton;Martin Neil
Norman E. Fenton;Martin Neil;Jose Galan Caballero
Norman Fenton;Martin Neil;William Marsh;Peter Hearty
N. Fenton;P. Krause;M. Neil
Norman E. Fenton;Martin Neil;David A. Lagnado
Martin Neil;Norman Fenton;Manesh Tailor
Martin Neil;Manesh Tailor;David Marquez
A. Joseph;N. E. Fenton;M. Neil
Anthony C. Constantinou;Norman E. Fenton;Martin Neil
Norman E. Fenton;Martin Neil
David Marquez;Martin Neil;Norman E. Fenton
Norman Fenton;William Marsh;Martin Neil;Patrick Cates
Norman Fenton;Martin Neil;William Marsh;Peter Hearty
M. Neil;N. Fenton;S. Forey;R. Harris
Vahid Khodakarami;Norman Fenton;Martin Neil
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