Louis J. M. Aslett
Louis J. M. Aslett
Associate Professor, Department of Mathematical Sciences, Durham University
Verified email at - Homepage
Cited by
Cited by
Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants
M Willetts, S Hollowell, L Aslett, C Holmes, A Doherty
Scientific reports 8 (1), 7961, 2018
A review of homomorphic encryption and software tools for encrypted statistical machine learning
LJM Aslett, PM Esperança, CC Holmes
arXiv preprint arXiv:1508.06574, 2015
Bayesian inference for reliability of systems and networks using the survival signature
LJM Aslett, FPA Coolen, SP Wilson
Risk Analysis 35 (9), 1640-1651, 2015
Encrypted statistical machine learning: new privacy preserving methods
LJM Aslett, PM Esperança, CC Holmes
arXiv preprint arXiv:1508.06845, 2015
Multilevel Monte Carlo for reliability theory
LJM Aslett, T Nagapetyan, SJ Vollmer
Reliability Engineering & System Safety 165, 188-196, 2017
Reliability analysis of general phased mission systems with a new survival signature
X Huang, LJM Aslett, FPA Coolen
Reliability Engineering & System Safety 189, 416-422, 2019
ReliabilityTheory: Tools for structural reliability analysis
LJM Aslett
R package, 2012
Bayesian nonparametric system reliability using sets of priors
G Walter, LJM Aslett, FPA Coolen
International Journal of Approximate Reasoning 80, 67-88, 2017
Encrypted accelerated least squares regression
P Esperanca, L Aslett, C Holmes
Artificial Intelligence and Statistics, 334-343, 2017
MCMC for inference on phase-type and masked system lifetime models
LJM Aslett
Trinity College Dublin, 2012
Modelling of modular battery systems under cell capacity variation and degradation
DJ Rogers, LJM Aslett, MCM Troffaes
Applied Energy 283, 116360, 2021
Model updating after interventions paradoxically introduces bias
J Liley, S Emerson, B Mateen, C Vallejos, L Aslett, S Vollmer
International Conference on Artificial Intelligence and Statistics, 3916-3924, 2021
Markov chain Monte Carlo for inference on Phasetype models
LJM Aslett, SP Wilson
ISI 120, 2011
The association between ambient UVB dose and ANCA-associated vasculitis relapse and onset
J Scott, E Havyarimana, A Navarro-Gallinad, A White, J Wyse, ...
Arthritis Research & Therapy 24 (1), 147, 2022
Imprecise system reliability using the survival signature
FPA Coolen, T Coolen-Maturi, LJM Aslett, GM Walter
Uncertainty in Engineering: Introduction to Methods and Applications
LJM Aslett, F Coolen, J De Bock
Springer Nature, 2022
Development and assessment of a machine learning tool for predicting emergency admission in scotland
J Liley, G Bohner, SR Emerson, BA Mateen, K Borland, D Carr, S Heald, ...
medRxiv, 2021.08. 06.21261593, 2021
On robust Markov analysis for reliability assessment of complex systems using imprecise Markov chains
D Krpelík, FPA Coolen, LJM Aslett
2019 International Conference on Information and Digital Technologies (IDT …, 2019
A decomposition approach for computation of survival signatures of heterogeneous systems with subsystems with shared components
D Krpelık, FPA Coolen, LJM Aslett
ANCA-associated vasculitis in Ireland: a multi-centre national cohort study
J Scott, EN an Ríogh, S Al Nokhatha, C Cowhig, A Verrelli, T Fitzgerald, ...
HRB Open Research 5 (80), 80, 2022
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