Marco Scutari 个人学术档案

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引用	5481	4009
h 指数	24	21
i10 指数	32	30

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Sophie LèbreIMAG UMR 5149, Université Paul Valéry Montpellier 3, COSTNET CA15109在 univ-montp3.fr 的电子邮件经过验证
Ian MackayIMplant Consultancy在 sruc.ac.uk 的电子邮件经过验证
David BaldingHonorary positions at Melbourne Integrative Genomics, U Melbourne, and UCL Genetics Institute在 unimelb.edu.au 的电子邮件经过验证
Dr Bernard Xian Wei LiewSchool of Sport, Rehabilitation and Exercise Sciences, University of Essex, UK在 essex.ac.uk 的电子邮件经过验证
Claudia VitoloDigital Twin Earth Applications Scientist at the European Space Agency在 esa.int 的电子邮件经过验证
Allan TuckerReader, Brunel University London在 brunel.ac.uk 的电子邮件经过验证
Giovanni BrigantiUniversity of Mons在 umons.ac.be 的电子邮件经过验证
José M. GutiérrezResearch Professor, IFCA (CSIC - Universidad de Cantabria)在 unican.es 的电子邮件经过验证
Fabio Antonio StellaUniversity of Milano-Bicocca在 unimib.it 的电子邮件经过验证
Phil HowellNIAB Cambridge UK在 niab.com 的电子邮件经过验证
Professor Deborah FallaChair in Rehabilitation Science and Physiotherapy, School of Sport, Exercise and Rehabilitation在 bham.ac.uk 的电子邮件经过验证
Paul LinkowskiProfesseur de psychiatrie Université libre de Bruxelles在 ulb.ac.be 的电子邮件经过验证
Richard McNallyHarvard University, University of Illinois at Chicago, University of Health Sciences/The Chicago在 wjh.harvard.edu 的电子邮件经过验证
James CockramProgramme Leader, NIAB, UK在 niab.com 的电子邮件经过验证
Tobias BarberPhD student at NIAB, Uni of Cambridge and RAGT Seeds Ltd.在 cam.ac.uk 的电子邮件经过验证
Alison R BentleyCIMMYT在 cgiar.org 的电子邮件经过验证
Katia BEAUCHENEARVALIS-Institut du végétal在 arvalis.fr 的电子邮件经过验证
Sébastien Praudlimagrain在 limagrain.com 的电子邮件经过验证
Andrew RussellQueen Mary University of London在 qmul.ac.uk 的电子邮件经过验证
Chao-Jung Wumcgill university在 mail.mcgill.ca 的电子邮件经过验证

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Marco Scutari

Senior Researcher, IDSIA

在 bnlearn.com 的电子邮件经过验证 - 首页

Bayesian Networks Causal Discovery Fairness Machine Learning Software Engineering


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Learning Bayesian Networks with the bnlearn R Package M Scutari Journal of Statistical Software 35 (3), 1-22, 2010	2055	2010
Bayesian Networks: with Examples in R M Scutari, JB Denis CRC press (1st edition, 2014; 2nd edition, 2021), 2014	617*	2014
Bayesian Networks in R with Applications in Systems Biology R Nagarajan, M Scutari, S Lèbre Springer, 2013	537*	2013
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	304*	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	199	2017
On Identifying Significant Edges in Graphical Models of Molecular Networks M Scutari, R Nagarajan Artificial Intelligence in Medicine 57 (3), 207-217, 2013	199*	2013
bnlearn: Bayesian network structure learning, parameter learning and inference M Scutari CRAN, 2007	184*	2007
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	123	2019
Using Genetic Distance to Infer the Accuracy of Genomic Prediction M Scutari, I Mackay, D Balding PLoS Genetics 12 (9), e1006288, 2016	122	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	111	2014
Multiple Quantitative Trait Analysis Using Bayesian Networks M Scutari, P Howell, DJ Balding, I Mackay Genetics 198 (1), 129-137, 2014	99	2014
Bayesian Network Repository M Scutari http://www.bnlearn.com/bnrepository, 2012	81*	2012
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	80	2018
A Tutorial on Bayesian Networks for Psychopathology Researchers G Briganti, M Scutari, RJ McNally Psychological Methods 28 (4), 947-961, 2023	76	2023
Dirichlet Bayesian Network Scores and the Maximum Relative Entropy Principle M Scutari Behaviormetrika 45 (2), 337-36, 2018	61	2018
On the Prior and Posterior Distributions Used in Graphical Modelling (with discussion) M Scutari Bayesian Analysis 8 (3), 505-532, 2013	58*	2013
An Empirical-Bayes Score for Discrete Bayesian Networks M Scutari Journal of Machine Learning Research (Proceedings Track) 52, 438-448, 2016	56	2016
Bayesian Network Structure Learning with Permutation Tests M Scutari, A Brogini Communications in Statistics-Theory and Methods 41 (16-17), 3233-3243, 2012	46	2012
Bayesian Networks Analysis of Malocclusion Data M Scutari, P Auconi, G Caldarelli, L Franchi Scientific Reports 7 (15326), 1-11, 2017	43	2017
Bayesian Network Models for Incomplete and Dynamic Data M Scutari Statistica Neerlandica 74 (3), 397-419, 2020	42	2020

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