Mark Girolami - Google Scholar Citations

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	All	Since 2014
Citations	15258	7377
h-index	58	43
i10-index	159	118

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Simon RogersLecturer, Computing Science, University of GlasgowVerified email at glasgow.ac.uk
Chris. J. OatesChair in Statistics, Newcastle UniversityVerified email at ncl.ac.uk
Ben CalderheadImperial College LondonVerified email at imperial.ac.uk
Theodoros (Theo) DamoulasAssociate Professor, University of WarwickVerified email at warwick.ac.uk
Ata KabanUniversity of Birmingham, School of Computer ScienceVerified email at cs.bham.ac.uk
Terrence SejnowskiFrancis Crick Professor, Salk Institute, Distingished Professor, UC San DiegoVerified email at salk.edu
François-Xavier BriolLecturer in Statistical Science, University College LondonVerified email at turing.ac.uk
Jon CockayneUniversity of WarwickVerified email at warwick.ac.uk
Maurizio FilipponeAssociate Professor - EURECOMVerified email at eurecom.fr
Roman RosipalSenior Researcher at Slovak Academy of SciencesVerified email at savba.sk
Vassilios StathopoulosResearch Associate, University College LondonVerified email at ucl.ac.uk
Harald MischakMosaiques DiagnosticsVerified email at mosaiques.de
Colin CampbellBristol universityVerified email at bris.ac.uk
Chao HeDirector of Wisers AI LabVerified email at wisers.com
Mingjun ZhongSchool of Computer Science, University of Lincoln, UKVerified email at Lincoln.ac.uk
Michael A OsborneAssociate Professor, University of OxfordVerified email at robots.ox.ac.uk
Vladislav VyshemirskyLecturer, University of StrathclydeVerified email at strath.ac.uk
Rainer BreitlingProfessor of Systems Biology, Manchester Institute of Biotechnology, University of ManchesterVerified email at manchester.ac.uk
Leif AzzopardiUniversity of StrathclydeVerified email at strath.ac.uk
Andrew M StuartComputing + Mathematical Sciences, CaltechVerified email at caltech.edu

Mark Girolami

University of Cambridge

Verified email at cam.ac.uk - Homepage

Computational Statistics Bayesian Statistics Machine Learning Data Centric Engineering


Title	Cited by	Year
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	2000	1999
Riemann manifold langevin and hamiltonian monte carlo methods M Girolami, B Calderhead Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2011	1059	2011
Mercer kernel-based clustering in feature space M Girolami IEEE Transactions on Neural Networks 13 (3), 780-784, 2002	975	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	584	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	549	2000
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	337	2010
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	319	2007
Advances in urinary proteome analysis and biomarker discovery D Fliser, J Novak, V Thongboonkerd, A Argiles, V Jankowski, MA Girolami, ... Journal of the American Society of Nephrology 18 (4), 1057-1071, 2007	292	2007
Probability density estimation from optimally condensed data samples M Girolami, C He IEEE Transactions on pattern analysis and machine intelligence 25 (10), 1253 …, 2003	267	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	247	2010
On an equivalence between PLSI and LDA M Girolami, A Kabán SIGIR 3, 433-434, 2003	246	2003
Variational Bayesian multinomial probit regression with Gaussian process priors M Girolami, S Rogers Neural Computation 18 (8), 1790-1817, 2006	229	2006
Kernel PCA for feature extraction and de-noising in nonlinear regression R Rosipal, M Girolami, LJ Trejo, A Cichocki Neural Computing & Applications 10 (3), 231-243, 2001	215	2001
Sparse multinomial logistic regression via bayesian l1 regularisation GC Cawley, NL Talbot, M Girolami Advances in neural information processing systems, 209-216, 2007	212	2007
Bayesian ranking of biochemical system models V Vyshemirsky, MA Girolami Bioinformatics 24 (6), 833-839, 2007	210	2007
A variational method for learning sparse and overcomplete representations M Girolami Neural computation 13 (11), 2517-2532, 2001	179	2001
Orthogonal series density estimation and the kernel eigenvalue problem M Girolami Neural computation 14 (3), 669-688, 2002	162	2002
Estimating Bayes factors via thermodynamic integration and population MCMC B Calderhead, M Girolami Computational Statistics & Data Analysis 53 (12), 4028-4045, 2009	160	2009
A first course in machine learning S Rogers, M Girolami Chapman and Hall/CRC, 2016	159	2016
Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection T Damoulas, MA Girolami Bioinformatics 24 (10), 1264-1270, 2008	157	2008

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