Evaluating the Faithfulness of Saliency Maps in Explaining Deep Learning Models Using Realistic Perturbations

AuthID
P-00X-N35
5
Author(s)
Amorim, JP
·
Cortes, M
·
Vila, V
Document Type
Article
Year published
2023
Published
in INFORMATION PROCESSING & MANAGEMENT, ISSN: 0306-4573
Volume: 60, Issue: 2, Pages: 103225 (14)
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Publication Identifiers
Dblp: journals/ipm/AmorimASCV23
Scopus: 2-s2.0-85144325667
Wos: WOS:000911042300001
Source Identifiers
ISSN: 0306-4573
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