Explainable Time Series Tree: An Explainable Top-Down Time Series Segmentation Framework-Reference-Cited by-同舟云学术

Explainable Time Series Tree: An Explainable Top-Down Time Series Segmentation Framework

Published:2023 Issue: Volume:11 Page:120845-120856
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Silva Vitor de Castro¹,Zarpelão Bruno Bogaz¹^ORCID,Medvet Eric²,Barbon Sylvio²^ORCID

Affiliation:

1. Department of Computer Science, State University of Londrina, Londrina, Paraná, Brazil

2. Department of Engineering and Architecture, University of Trieste, Trieste, Italy

Funder

Fundação Araucária de Apoio ao Desenvolvimento Científico e Tecnológico do Estado do Paraná, Brazil (Novos Arranjos de Pesquisa e Inovação (NAPI)-Norte Centro de Inteligência Artificial

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10292634.pdf?arnumber=10292634

Reference26 articles.

1. From anecdotal evidence to quantitative evaluation methods: A systematic review on evaluating explainable AI;nauta;arXiv 2201 08164,2022

2. Distribution of the Estimators for Autoregressive Time Series With a Unit Root

3. Critical values for cointegration tests;mackinnon;Long run economic relationships,1990

4. Explaining explanations: An overview of interpretability of machine learning;gilpin;Proc 5th Int Conf Data Sci Adv Anal,2019

5. Supporting the Page-Hinkley Test with Empirical Mode Decomposition for Change Detection

Cited by 1 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. Unsupervised Tuning for Drift Detectors Using Change Detector Segmentation;IEEE Access;2024