LRP-Based path relevances for global explanation of deep architectures

dc.creatorGuerrero-Gómez-Olmedo R.
dc.creatorSalmeron J.L.
dc.creatorKuchkovsky C.
dc.date.accessioned2020-09-02T22:19:31Z
dc.date.accessioned2022-11-08T20:22:15Z
dc.date.available2020-09-02T22:19:31Z
dc.date.available2022-11-08T20:22:15Z
dc.date.created2020-09-02T22:19:31Z
dc.date.issued2020
dc.identifier381, , 252-260
dc.identifier09252312
dc.identifierhttps://hdl.handle.net/20.500.12728/4764
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5144345
dc.languageen
dc.publisherElsevier B.V.
dc.subjectDeep learning
dc.subjectExplainable AI
dc.subjectInterpretable machine learning
dc.subjectLayer-wise relevant propagation
dc.subjectBackpropagation
dc.subjectClassification (of information)
dc.subjectComplex networks
dc.subjectDeep learning
dc.subjectMachine learning
dc.subjectNetwork architecture
dc.subjectDeep architectures
dc.subjectInterpretability
dc.subjectLayer-wise
dc.subjectMachine learning models
dc.subjectMulti Criteria Analysis
dc.subjectNeural architectures
dc.subjectNon-linear relationships
dc.subjectPrivacy regulation
dc.subjectDeep neural networks
dc.subjectarticle
dc.subjectdeep learning
dc.titleLRP-Based path relevances for global explanation of deep architectures
dc.typeArticle


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