Marco Scutari

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Ian MackayIMplant ConsultancyVerified email at sruc.ac.uk
David BaldingMelbourne Integrative Genomics, Schools of BioSciences and of Maths & Stats, U MelbourneVerified email at unimelb.edu.au
Dr Bernard Xian Wei LiewSchool of Sport, Rehabilitation and Exercise Sciences, University of Essex, UKVerified email at essex.ac.uk
Claudia VitoloDigital Twin Earth Applications Scientist at the European Space AgencyVerified email at esa.int
Allan TuckerSenior Lecturer, Brunel UniversityVerified email at brunel.ac.uk
Giovanni BrigantiAssociate Professor, University of MonsVerified email at umons.ac.be
Sophie LèbreIMAG UMR 5149, Université Paul Valéry Montpellier 3, COSTNET CA15109Verified email at univ-montp3.fr
José M. GutiérrezResearch Professor, IFCA (CSIC - Universidad de Cantabria)Verified email at unican.es
Phil HowellNIAB Cambridge UKVerified email at niab.com
Professor Deborah FallaChair in Rehabilitation Science and Physiotherapy, School of Sport, Exercise and RehabilitationVerified email at bham.ac.uk
Paul LinkowskiProfesseur de psychiatrie Université libre de BruxellesVerified email at ulb.ac.be
James CockramProgramme Leader, NIAB, UKVerified email at niab.com
Tobias BarberPhD student at NIAB, Uni of Cambridge and RAGT Seeds Ltd.Verified email at cam.ac.uk
Alison R BentleyCIMMYTVerified email at cgiar.org
Katia BEAUCHENEARVALIS-Institut du végétalVerified email at arvalis.fr
Sébastien PraudlimagrainVerified email at limagrain.com
Fabio Antonio StellaUniversity of Milan-BicoccaVerified email at unimib.it
Andrew RussellQueen Mary University of LondonVerified email at qmul.ac.uk
Chao-Jung Wumcgill universityVerified email at mail.mcgill.ca
Antoine BoivinUniversité de MontrealVerified email at umontreal.ca

Marco Scutari

Senior Researcher, IDSIA

Verified email at bnlearn.com - Homepage

Bayesian Networks Machine Learning Software Engineering Applied Data Analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning Bayesian Networks with the bnlearn R Package M Scutari Journal of Statistical Software 35 (3), 1-22, 2010	1686	2010
Bayesian Networks in R with Applications in Systems Biology R Nagarajan, M Scutari, S Lèbre Springer, 2013	460*	2013
Bayesian Networks: with Examples in R M Scutari, JB Denis CRC press (1st edition, 2014; 2nd edition, 2021), 2014	445*	2014
Who Learns Better Bayesian Network Structures: Accuracy and Speed of Structure Learning Algorithms M Scutari, CE Graafland, JM Gutiérrez International Journal of Approximate Reasoning 115, 235-253, 2019	194*	2019
Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package M Scutari Journal of Statistical Software 77 (2), 1-20, 2017	158	2017
On Identifying Significant Edges in Graphical Models of Molecular Networks M Scutari, R Nagarajan Artificial Intelligence in Medicine 57 (3), 207-217, 2013	150*	2013
bnlearn: Bayesian network structure learning, parameter learning and inference M Scutari CRAN, 2007	138*	2007
Using Genetic Distance to Infer the Accuracy of Genomic Prediction M Scutari, I Mackay, D Balding PLoS Genetics 12 (9), e1006288, 2016	95	2016
Applying Association Mapping and Genomic Selection to the Dissection of Key Traits in Elite European Wheat AR Bentley, M Scutari, N Gosman, S Faure, F Bedford, P Howell, ... Theoretical and Applied Genetics 127, 2619-2633, 2014	92	2014
Multiple Quantitative Trait Analysis Using Bayesian Networks M Scutari, P Howell, DJ Balding, I Mackay Genetics 198 (1), 129-137, 2014	85	2014
Learning Bayesian Networks from Big Data with Greedy Search: Computational Complexity and Efficient Implementation M Scutari, C Vitolo, A Tucker Statistics and Computing 25 (9), 1095-1108, 2019	83	2019
Modelling Air Pollution, Climate and Health Data Using Bayesian Networks: a Case Study of the English Regions C Vitolo, M Scutari, M Ghalaieny, A Tucker, A Russell Earth and Space Science 5 (4), 76-88, 2018	56	2018
Bayesian Network Repository M Scutari http://www.bnlearn.com/bnrepository, 2012	54*	2012
On the Prior and Posterior Distributions Used in Graphical Modelling (with discussion) M Scutari Bayesian Analysis 8 (3), 505-532, 2013	49*	2013
An Empirical-Bayes Score for Discrete Bayesian Networks M Scutari Journal of Machine Learning Research (Proceedings Track) 52, 438-448, 2016	46	2016
Dirichlet Bayesian Network Scores and the Maximum Relative Entropy Principle M Scutari Behaviormetrika 45 (2), 337-36, 2018	42*	2018
Bayesian Network Structure Learning with Permutation Tests M Scutari, A Brogini Communications in Statistics-Theory and Methods 41 (16-17), 3233-3243, 2012	42	2012
Introduction to Graphical Modelling M Scutari, K Strimmer Handbook of Statistical Systems Biology, 2011	31	2011
Bayesian Networks Analysis of Malocclusion Data M Scutari, P Auconi, G Caldarelli, L Franchi Scientific Reports 7 (15326), 1-11, 2017	29	2017
Bayesian Network Models for Incomplete and Dynamic Data M Scutari Statistica Neerlandica 74 (3), 397-419, 2020	27	2020

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