Mark Girolami

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Chris. J. OatesNewcastle UniversityPatvirtintas el. paštas ncl.ac.uk
Simon RogersSenior Lecturer, Computing Science, University of GlasgowPatvirtintas el. paštas glasgow.ac.uk
Ben CalderheadImperial College LondonPatvirtintas el. paštas imperial.ac.uk
Theodoros (Theo) DamoulasProfessor, CS+Stats, University of Warwick - UKRI Turing AI FellowPatvirtintas el. paštas warwick.ac.uk
François-Xavier BriolAssociate Professor in Statistical Science, UCLPatvirtintas el. paštas ucl.ac.uk
Ata KabanProfessor, University of Birmingham, School of Computer SciencePatvirtintas el. paštas bham.ac.uk
Terrence SejnowskiFrancis Crick Professor, Salk Institute, Distingished Professor, UC San DiegoPatvirtintas el. paštas salk.edu
Te-Won LeePatvirtintas el. paštas ucsd.edu
Alessandro BarpUniversity College London, The Alan Turing InstitutePatvirtintas el. paštas ucl.ac.uk
Maurizio FilipponeAssociate Professor - Statistics Program, KAUSTPatvirtintas el. paštas kaust.edu.sa
Simon ByrneCliMA project, California Institute of TechnologyPatvirtintas el. paštas caltech.edu
Colin CampbellUniversity of BristolPatvirtintas el. paštas bris.ac.uk
Andrew B. DuncanImperial College London and Alan Turing InstitutePatvirtintas el. paštas imperial.ac.uk
Michael A OsborneProfessor of Machine Learning, University of OxfordPatvirtintas el. paštas robots.ox.ac.uk
Vassilios StathopoulosResearch Associate, University College LondonPatvirtintas el. paštas ucl.ac.uk
Roman RosipalSenior Researcher at Slovak Academy of Sciences & CTO at Pacific Development and Technology, LLCPatvirtintas el. paštas savba.sk
Walter KolchDirector, Systems Biology Ireland, University College DublinPatvirtintas el. paštas ucd.ie
Andrew M StuartComputing + Mathematical Sciences, CaltechPatvirtintas el. paštas caltech.edu
Ioannis Brilakis, PhDLaing O'Rourke Professor of Civil & Information Engineering, University of CambridgePatvirtintas el. paštas cam.ac.uk
Kate Elizabeth JonesProfessor Ecology and Biodiversity, University College LondonPatvirtintas el. paštas ucl.ac.uk

Stebėti

Mark Girolami

University of Cambridge

Patvirtintas el. paštas cam.ac.uk

Computational Statistics Bayesian Statistics Machine Learning Data Centric Engineering


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	2574	1999
Riemann manifold langevin and hamiltonian monte carlo methods M Girolami, B Calderhead Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2011	2038	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
Hamiltonian Monte Carlo for hierarchical models M Betancourt, M Girolami Current trends in Bayesian methodology with applications 79 (30), 2-4, 2015	621	2015
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
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	529	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	394	2022
A first course in machine learning S Rogers, M Girolami Chapman and Hall/CRC, 2016	385	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
On an equivalence between PLSI and LDA M Girolami, A Kabán Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	350	2003
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	348	2007
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	345	2010
Probabilistic numerics and uncertainty in computations P Hennig, MA Osborne, M Girolami Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2015	320	2015
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
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	305	2001
Sparse multinomial logistic regression via bayesian l1 regularisation G Cawley, N Talbot, M Girolami Advances in neural information processing systems 19, 2006	299	2006
Variational Bayesian multinomial probit regression with Gaussian process priors M Girolami, S Rogers Neural Computation 18 (8), 1790-1817, 2006	298	2006
Building information modelling, artificial intelligence and construction tech R Sacks, M Girolami, I Brilakis Developments in the Built Environment 4, 100011, 2020	275	2020

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