Articles with public access mandates - Mark GirolamiLearn more
Not available anywhere: 11
Scaling digital twins from the artisanal to the industrial
SA Niederer, MS Sacks, M Girolami, K Willcox
Nature Computational Science 1 (5), 313-320, 2021
Mandates: US Department of Energy, US Department of Defense, US National Institutes of …
The controlled thermodynamic integral for Bayesian model evidence evaluation
CJ Oates, T Papamarkou, M Girolami
Journal of the American Statistical Association 111 (514), 634-645, 2016
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
The role of statistics in data-centric engineering
FDH Lau, NM Adams, MA Girolami, LJ Butler, MZEB Elshafie
Statistics & Probability Letters 136, 58-62, 2018
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Analysing user behaviour through dynamic population models
M Higgs, A Morrison, M Girolami, M Chalmers
CHI'13 Extended Abstracts on Human Factors in Computing Systems, 271-276, 2013
Mandates: UK Engineering and Physical Sciences Research Council
Anomaly detection in streaming data with gaussian process based stochastic differential equations
A Glyn-Davies, M Girolami
Pattern Recognition Letters 153, 254-260, 2022
Mandates: UK Engineering and Physical Sciences Research Council
Statistical methods to enable practical on-site tomographic imaging of whole-core samples
A Mendoza, L Roininen, M Girolami, J Heikkinen, H Haario
Geophysics 84 (3), D89-D100, 2019
Mandates: Academy of Finland, UK Engineering and Physical Sciences Research Council
Bayesian numerical methods as a case study for statistical data science
FX Briol, M Girolami
Statistical Data Science, 99-110, 2018
Mandates: UK Engineering and Physical Sciences Research Council, European Commission …
Monte Carlo methods and zero variance principle
T Papamarkou, A Mira, M Girolami
Current Trends in Bayesian Methodology with Applications, 457-476, 2015
Mandates: Swiss National Science Foundation, UK Engineering and Physical Sciences …
A probabilistic model for quantifying uncertainty in the failure assessment diagram
D Di Francesco, M Girolami, AB Duncan, M Chryssanthopoulos
Structural Safety 99, 102262, 2022
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Incorporating Reliability in Graph Information Propagation by Fluid Dynamics Diffusion: A case of Multimodal Semisupervised Deep Learning
A Marinoni, M Mercier, Q Shi, S Selvakumaran, M Girolami
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Mandates: European Commission, Research Council of Norway
Accelerated Whole-Core Analysis Optimization With Wellsite Tomography Instrumentation and Bayesian Inversion
A Mendoza, L Roininen, M Girolami, J Heikkinen, H Haario
Petrophysics 60 (03), 384-396, 2019
Mandates: Academy of Finland, UK Engineering and Physical Sciences Research Council
Available somewhere: 123
Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease
DM Good, P Zürbig, A Argiles, HW Bauer, G Behrens, JJ Coon, M Dakna, ...
Molecular & cellular proteomics 9 (11), 2424-2437, 2010
Mandates: US National Institutes of Health, National Institute of Health and Medical …
Hamiltonian Monte Carlo for hierarchical models
M Betancourt, M Girolami
Current trends in Bayesian methodology with applications 79 (30), 2-4, 2015
Mandates: UK Engineering and Physical Sciences Research Council
Construction with digital twin information systems
R Sacks, I Brilakis, E Pikas, HS Xie, M Girolami
Data-Centric Engineering 1, e14, 2020
Mandates: UK Research & Innovation
Recommendations for biomarker identification and qualification in clinical proteomics
H Mischak, G Allmaier, R Apweiler, T Attwood, M Baumann, A Benigni, ...
Science translational medicine 2 (46), 46ps42-46ps42, 2010
Mandates: US National Institutes of Health, British Heart Foundation
Probabilistic numerics and uncertainty in computations
P Hennig, MA Osborne, M Girolami
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015
Mandates: German Research Foundation, UK Engineering and Physical Sciences Research …
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
A Malekloo, E Ozer, M AlHamaydeh, M Girolami
Structural Health Monitoring 21 (4), 1906-1955, 2022
Mandates: European Commission
Control functionals for Monte Carlo integration
CJ Oates, M Girolami, N Chopin
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
Mandates: Australian Research Council, UK Engineering and Physical Sciences Research …
Bat detective—Deep learning tools for bat acoustic signal detection
O Mac Aodha, R Gibb, KE Barlow, E Browning, M Firman, R Freeman, ...
PLoS computational biology 14 (3), e1005995, 2018
Mandates: UK Engineering and Physical Sciences Research Council, UK Natural …
Building information modelling, artificial intelligence and construction tech
R Sacks, M Girolami, I Brilakis
Developments in the Built Environment 4, 100011, 2020
Mandates: UK Research & Innovation
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