Publicación:
"Methodology for the Use of Machine Learning, Applied in Predicting the Level of Success in Legal Cases"

dc.contributor.author"Auccahuasi, Wilver
dc.contributor.authorHerrera, Lucas
dc.contributor.authorRojas, Karin
dc.contributor.authorUrbano, Kitty
dc.contributor.authorPeláez, Brayan
dc.contributor.authorPeña, Pedro Flores
dc.contributor.authorOsorio, Yuly Montes
dc.contributor.authorBernardo, Grisi
dc.contributor.authorBernardo, Madelaine
dc.contributor.authorMeza, Sandra
dc.contributor.authorOvalle, Christian
dc.contributor.authorHilario, Francisco
dc.contributor.authorLiendo, Milner
dc.contributor.authorSernaque, Fernando"
dc.date.accessioned2026-10-09T04:47:07Z
dc.date.issued2022
dc.description.abstract"ICTs have allowed the applications of artificial intelligence to grow exponentially, where different applications are being presented, based on the application of neural networks as prediction mechanisms for different processes and applications, in the present work the use of the Neural networks for the legal case prediction process, in which the analysis of approximately 200 cases was used between cases that had "positive and negative" final results, the expected results after implementing the solution in the MATLAB tool, they presented us effectiveness results in a value of 93%, as a conclusion we can indicate that the model provided allows us to be applied in other conditions as well as to be scaled, taking into account the historical data that may be available for the training process. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)."
dc.identifier.scopus2-s2.0-85132278300
dc.identifier.urihttp://hdl.handle.net/20.500.14929/1331
dc.identifier.uuidbd4c2be6-35ad-4080-8247-ad63373b2c3c
dc.language.isoen
dc.publisherCEUR-WS
dc.relation.ispartofCEUR Workshop Proceedings
dc.rightshttp://purl.org/coar/access_right/c_16ec
dc.subjectArtificial Intelligence
dc.subjectcases
dc.subjectlegal
dc.subjectmethodology
dc.subjectprotocol
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00
dc.subject.ods"ODS 6: Agua limpia y saneamiento"
dc.title"Methodology for the Use of Machine Learning, Applied in Predicting the Level of Success in Legal Cases"
dc.typehttp://purl.org/coar/resource_type/c_5794
dspace.entity.typePublication
oaire.citation.endPage54
oaire.citation.startPage48
oaire.citation.volume3146

Archivos

Colecciones