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Emulation-accelerated Hamiltonian Monte Carlo algorithms for parameter estimation and uncertainty quantification in differential equation models

Statistics and computing, 2022-02, Vol.32 (1), Article 1

2022

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Changes and classification in myocardial contractile function in the left ventricle following acute myocardial infarction

Journal of the Royal Society interface, 2017-07, Vol.14 (132)

2017

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Stochastic variational inference for scalable non-stationary Gaussian process regression

Statistics and computing, 2023-04, Vol.33 (2), Article 44

2023

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TOPALi: software for automatic identification of recombinant sequences within DNA multiple alignments

Bioinformatics, 2004-07, Vol.20 (11), p.1806-1807

2004

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COVID-19 – exploring the implications of long-term condition type and extent of multimorbidity on years of life lost: a modelling study

Wellcome open research, 2021-03, Vol.5, p.75-75

2021

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R package for statistical inference in dynamical systems using kernel based gradient matching: KGode

Computational statistics, 2021-03, Vol.36 (1), p.715-747

2021

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A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses

PLoS computational biology, 2023-03, Vol.19 (3), p.e1010885-e1010885

2023

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Combining rapid antigen testing and syndromic surveillance improves community-based COVID-19 detection in a low-income country

Nature communications, 2022-05, Vol.13 (1), p.2877-2877, Article 2877

2022

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A hierarchical machine learning framework for the analysis of large scale animal movement data

Movement ecology, 2021-02, Vol.9 (1), p.6-6, Article 6

2021

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Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks

Bioinformatics, 2003-11, Vol.19 (17), p.2271-2282

HUSMEIER, Dirk

2003

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Analysis of Cardiac Amyloidosis Progression Using Model-Based Markers

Frontiers in physiology, 2020-04, Vol.11, p.324-324

2020

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Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genes

Bioinformatics (Oxford, England), 2011-03, Vol.27 (5), p.693-699

2011

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Physics-informed graph neural network emulation of soft-tissue mechanics

Computer methods in applied mechanics and engineering, 2023-12, Vol.417, p.116351, Article 116351

2023

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Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move

Machine learning, 2008-06, Vol.71 (2-3), p.265-305

2008

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Emulation of cardiac mechanics using Graph Neural Networks

Computer methods in applied mechanics and engineering, 2022-11, Vol.401, p.115645, Article 115645

2022

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Non-homogeneous dynamic Bayesian networks for continuous data

Machine learning, 2011-06, Vol.83 (3), p.355-419

2011

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Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis

Journal of computational physics, 2021-03, Vol.429, p.109999, Article 109999

2021

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Model selection via marginal likelihood estimation by combining thermodynamic integration and gradient matching

Statistics and computing, 2019-09, Vol.29 (5), p.853-867

2019

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Hierarchical Bayesian models in ecology: Reconstructing species interaction networks from non-homogeneous species abundance data

Ecological informatics, 2012-09, Vol.11, p.55-64

2012

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Regularization of non-homogeneous dynamic Bayesian networks with global information-coupling based on hierarchical Bayesian models

Machine learning, 2013-04, Vol.91 (1), p.105-154

2013

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Advances in computational modelling for personalised medicine after myocardial infarction

Heart (British Cardiac Society), 2018-04, Vol.104 (7), p.550

2018

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Transferable species distribution modelling: Comparative performance of Generalised Functional Response models

Ecological informatics, 2022-11, Vol.71, p.101803, Article 101803

2022

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Predicting ecological regime shift under climate change： New modelling techniques and potential of molecular-based approaches

Current zoology, 2013-06, Vol.59 (3), p.403-417

2013

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Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks

Bioinformatics, 2006-10, Vol.22 (20), p.2523-2531

2006

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Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure

Machine learning, 2013-02, Vol.90 (2), p.191-230

2013

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Emulation-accelerated Hamiltonian Monte Carlo algorithms for parameter estimation and uncertainty quantification in differential equation models

Changes and classification in myocardial contractile function in the left ventricle following acute myocardial infarction

Stochastic variational inference for scalable non-stationary Gaussian process regression

TOPALi: software for automatic identification of recombinant sequences within DNA multiple alignments

COVID-19 – exploring the implications of long-term condition type and extent of multimorbidity on years of life lost: a modelling study

R package for statistical inference in dynamical systems using kernel based gradient matching: KGode

A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses

Combining rapid antigen testing and syndromic surveillance improves community-based COVID-19 detection in a low-income country

A hierarchical machine learning framework for the analysis of large scale animal movement data

Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks

Analysis of Cardiac Amyloidosis Progression Using Model-Based Markers

Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genes

Physics-informed graph neural network emulation of soft-tissue mechanics

Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move

Emulation of cardiac mechanics using Graph Neural Networks

Non-homogeneous dynamic Bayesian networks for continuous data

Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis

Model selection via marginal likelihood estimation by combining thermodynamic integration and gradient matching

Hierarchical Bayesian models in ecology: Reconstructing species interaction networks from non-homogeneous species abundance data

Regularization of non-homogeneous dynamic Bayesian networks with global information-coupling based on hierarchical Bayesian models

Advances in computational modelling for personalised medicine after myocardial infarction

Transferable species distribution modelling: Comparative performance of Generalised Functional Response models

Predicting ecological regime shift under climate change： New modelling techniques and potential of molecular-based approaches

Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks

Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure

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