Interpretable synthetic signals for explainable one-class time-series classification-Reference-Cited by-同舟云学术

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Interpretable synthetic signals for explainable one-class time-series classification

Published:2024-05 Issue: Volume:131 Page:107716
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Hayashi Toshitaka^ORCID,Cimr Dalibor^ORCID,Fujita Hamido^ORCID,Cimler Richard^ORCID

Publisher

Elsevier BV

Reference47 articles.

1. A review on distance based time series classification;Abanda;Data Min. Knowl. Discov.,2019

2. Peeking inside the black-box: a survey on explainable artificial intelligence (XAI);Adadi;IEEE Access,2018

3. Explainable automated anuran sound classification using improved one-dimensional local binary pattern and Tunable Q Wavelet Transform techniques;Akbal;Expert Syst. Appl.,2023

4. From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks;Alfeo;Comput. Methods Progr. Biomed.,2023

5. Explainable artificial intelligence (XAI): what we know and what is left to attain trustworthy artificial intelligence;Ali;Inf. Fusion,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Curvature index of image samples used to evaluate the interpretability informativeness;Engineering Applications of Artificial Intelligence;2024-11

2. Adaptive Mask-Based Interpretable Convolutional Neural Network (AMI-CNN) for Modulation Format Identification;Applied Sciences;2024-07-19

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