Case-based selection of explanation methods for neural network image classifiers-Reference-Cited by-同舟云学术

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Case-based selection of explanation methods for neural network image classifiers

Published:2024-03 Issue: Volume:288 Page:111469
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Parejas-Llanovarced Humberto^ORCID,Caro-Martínez Marta^ORCID,Orozco-del-Castillo Mauricio G.^ORCID,Recio-García Juan A.^ORCID

Funder

Agencia Estatal de Investigacion

Publisher

Elsevier BV

Reference44 articles.

1. Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai;Barredo-Arrieta;Inf. Fusion,2020

2. Conceptual modeling of explainable recommender systems: An ontological formalization to guide their design and development;Caro-Martínez;J. Artificial Intelligence Res.,2021

3. Object detection with deep learning: A review;Zhao;IEEE Trans. Neural Netw. Learn. Syst.,2019

4. Keynote: Explainable-by-design deep learning;Angelov,2021

5. Deep convolutional neural networks for image classification: A comprehensive review;Rawat;Neural Comput.,2017

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1. Fan-Rems: Fair and Normalized Retrieval Evaluation Metrics for Retrieval Learning Systems;2024

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