Mark Girolami

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127 articles

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Chris. J. OatesNewcastle UniversityCorreu electrònic verificat a ncl.ac.uk
Simon RogersSenior Lecturer, Computing Science, University of GlasgowCorreu electrònic verificat a glasgow.ac.uk
Ben CalderheadImperial College LondonCorreu electrònic verificat a imperial.ac.uk
Theodoros (Theo) DamoulasProfessor, CS+Stats, University of Warwick - UKRI Turing AI FellowCorreu electrònic verificat a warwick.ac.uk
François-Xavier BriolAssociate Professor in Statistical Science, UCLCorreu electrònic verificat a ucl.ac.uk
Ata KabanProfessor, University of Birmingham, School of Computer ScienceCorreu electrònic verificat a bham.ac.uk
Alessandro BarpUniversity College London, The Alan Turing InstituteCorreu electrònic verificat a ucl.ac.uk
Terrence SejnowskiFrancis Crick Professor, Salk Institute, Distingished Professor, UC San DiegoCorreu electrònic verificat a salk.edu
Te-Won LeeCorreu electrònic verificat a ucsd.edu
Maurizio FilipponeAssociate Professor - Statistics Program, KAUSTCorreu electrònic verificat a kaust.edu.sa
Simon ByrneCliMA project, California Institute of TechnologyCorreu electrònic verificat a caltech.edu
Colin CampbellUniversity of BristolCorreu electrònic verificat a bris.ac.uk
Andrew B. DuncanImperial College London and Alan Turing InstituteCorreu electrònic verificat a imperial.ac.uk
Michael A OsborneProfessor of Machine Learning, University of OxfordCorreu electrònic verificat a robots.ox.ac.uk
Andrew M StuartComputing + Mathematical Sciences, CaltechCorreu electrònic verificat a caltech.edu
Vassilios StathopoulosResearch Associate, University College LondonCorreu electrònic verificat a ucl.ac.uk
Walter KolchDirector, Systems Biology Ireland, University College DublinCorreu electrònic verificat a ucd.ie
Roman RosipalSenior Researcher at Slovak Academy of Sciences & CTO at Pacific Development and Technology, LLCCorreu electrònic verificat a savba.sk
Ioannis Brilakis, PhDLaing O'Rourke Professor of Civil & Information Engineering, University of CambridgeCorreu electrònic verificat a cam.ac.uk
Kate Elizabeth JonesProfessor Ecology and Biodiversity, University College LondonCorreu electrònic verificat a ucl.ac.uk

Segueix

Mark Girolami

University of Cambridge

Correu electrònic verificat a cam.ac.uk

Computational Statistics Bayesian Statistics Machine Learning Data Centric Engineering


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources TW Lee, M Girolami, TJ Sejnowski Neural computation 11 (2), 417-441, 1999	2569	1999
Riemann manifold langevin and hamiltonian monte carlo methods M Girolami, B Calderhead Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2011	2046	2011
Mercer kernel-based clustering in feature space M Girolami IEEE transactions on neural networks 13 (3), 780-784, 2002	1207	2002
Blind source separation of more sources than mixtures using overcomplete representations TW Lee, MS Lewicki, M Girolami, TJ Sejnowski IEEE signal processing letters 6 (4), 87-90, 1999	642	1999
A unifying information-theoretic framework for independent component analysis TW Lee, M Girolami, AJ Bell, TJ Sejnowski Computers & Mathematics with Applications 39 (11), 1-21, 2000	612	2000
Hamiltonian Monte Carlo for hierarchical models M Betancourt, M Girolami Current trends in Bayesian methodology with applications 79 (30), 2-4, 2015	610	2015
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	579	2010
Construction with digital twin information systems R Sacks, I Brilakis, E Pikas, HS Xie, M Girolami Data-Centric Engineering 1, e14, 2020	528	2020
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	392	2022
A first course in machine learning S Rogers, M Girolami Chapman and Hall/CRC, 2016	389	2016
Clinical proteomics: a need to define the field and to begin to set adequate standards H Mischak, R Apweiler, RE Banks, M Conaway, J Coon, A Dominiczak, ... PROTEOMICS–Clinical Applications 1 (2), 148-156, 2007	361	2007
Advances in urinary proteome analysis and biomarker discovery D Fliser, J Novak, V Thongboonkerd, V Jankowski, MA Girolami, ... Journal of the American Society of Nephrology 18 (4), 1057-1071, 2007	351	2007
On an equivalence between PLSI and LDA M Girolami, A Kabán Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	344	2003
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	340	2010
Probabilistic numerics and uncertainty in computations P Hennig, MA Osborne, M Girolami Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015	321	2015
Kernel PCA for feature extraction and de-noising in nonlinear regression R Rosipal, M Girolami, LJ Trejo, A Cichocki Neural Computing & Applications 10, 231-243, 2001	308	2001
Probability density estimation from optimally condensed data samples M Girolami, C He IEEE Transactions on pattern analysis and machine intelligence 25 (10), 1253 …, 2003	306	2003
Variational Bayesian multinomial probit regression with Gaussian process priors M Girolami, S Rogers Neural Computation 18 (8), 1790-1817, 2006	301	2006
Sparse multinomial logistic regression via bayesian l1 regularisation G Cawley, N Talbot, M Girolami Advances in neural information processing systems 19, 2006	299	2006
Building information modelling, artificial intelligence and construction tech R Sacks, M Girolami, I Brilakis Developments in the Built Environment 4, 100011, 2020	279	2020

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