Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation

Marilyn Bello, Gonzalo Napoles, Koen Vanhoof, Maria M. Garcia, Rafael Bello

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    1 Citation (Scopus)

    Abstract

    Neural networks are considered a black-box model as their strength in modeling complex interactions makes its operation almost impossible to explain. Still, neural networks remain very interesting tools as they have shown promising performance in various classification tasks. Layer-wise relevance propagation is a technique that, based on a propagation approach, is able to explain the predictions obtained by a neural network. In this work, we propose four adaptations of this technique to operate on multi-label neural networks. The proposed methods provide new ways of distributing the relevance between the output layer and the preceding ones. The efficacy of these adaptations is demonstrated after an experimental study. The study is carried out based on existing evaluation criteria in the literature that measure the explanation's quality. These methods are applied to a case study in which a neural network is used to detect secondary coinfections in patients infected with SARS-CoV-2. Overall, the proposed methods provide a post-hoc interpretability stage of the results.

    Original languageEnglish
    Title of host publication2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages10
    ISBN (Electronic)9781728186719
    DOIs
    Publication statusPublished - 2022
    Event2022 International Joint Conference on Neural Networks, IJCNN 2022 - Padua, Italy
    Duration: 18 Jul 202223 Jul 2022

    Publication series

    NameProceedings of the International Joint Conference on Neural Networks
    Volume2022-July

    Conference

    Conference2022 International Joint Conference on Neural Networks, IJCNN 2022
    Country/TerritoryItaly
    CityPadua
    Period18/07/2223/07/22

    Keywords

    • Explanation
    • Layer-wise Relevance Propagation
    • Multi-label Scenarios
    • Neural Networks

    Fingerprint

    Dive into the research topics of 'Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation'. Together they form a unique fingerprint.

    Cite this