bnRep: A repository of Bayesian networks from the academic literature
| dc.contributor.author | Leonelli, Manuele | |
| dc.contributor.ror | https://ror.org/02jjdwm75 | |
| dc.date.accessioned | 2025-12-04T11:35:36Z | |
| dc.date.issued | 2025-04-01 | |
| dc.description.abstract | Bayesian networks (BNs) are widely used for modeling complex systems with uncertainty, yet repositories of pre-built BNs remain limited. This paper introduces bnRep, an open-source R package offering a comprehensive collection of documented BNs, facilitating benchmarking, replicability, and education. With over 200 networks from academic publications, bnRep integrates seamlessly with bnlearn and other R packages, providing users with interactive tools for network exploration. The package includes a Shiny app for intuitive and interactive filtering and visualization, further enhancing accessibility for users of all expertise levels. | |
| dc.description.peerreviewed | yes | |
| dc.description.status | Published | |
| dc.format | application/pdf | |
| dc.identifier.citation | Leonelli, M. (2025). bnRep: A repository of Bayesian networks from the academic literature. Neurocomputing, 624, 129502. https://doi.org/10.1016/j.neucom.2025.129502 | |
| dc.identifier.doi | https://doi.org/10.1016/j.neucom.2025.129502 | |
| dc.identifier.issn | 1872-8286 | |
| dc.identifier.officialurl | https://www.sciencedirect.com/science/article/pii/S0925231225001742 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14417/3908 | |
| dc.journal.title | Neurocomputing | |
| dc.language.iso | en | |
| dc.page.total | 18 | |
| dc.publisher | Elsevier | |
| dc.relation.department | Applied Mathematics | |
| dc.relation.entity | IE University | |
| dc.relation.school | IE School of Science & Technology | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights.accessRights | info:eu-repo/semantics/embargoedAccess | |
| dc.rights.accessRights | info:eu-repo/date/embargoEnd/2027-04-01 | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/deed | |
| dc.subject | Bayesian networks | |
| dc.subject | Probabilistic graphical models | |
| dc.subject | R package | |
| dc.subject | Repository | |
| dc.subject.ods | ODS 9 - Industria, innovación e infraestructura | |
| dc.subject.unesco | 33 Ciencias Tecnológicas | |
| dc.title | bnRep: A repository of Bayesian networks from the academic literature | |
| dc.type | info:eu-repo/semantics/article | |
| dc.version.type | info:eu-repo/semantics/acceptedVersion | |
| dc.volume.number | 624 | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | bc86b9eb-18b3-4fab-bf14-ad6f5509312f | |
| relation.isAuthorOfPublication.latestForDiscovery | bc86b9eb-18b3-4fab-bf14-ad6f5509312f |
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