Unsupervised Tuning for Drift Detectors Using Change Detector Segmentation-Reference-Cited by-同舟云学术

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Unsupervised Tuning for Drift Detectors Using Change Detector Segmentation

Published:2024 Issue: Volume:12 Page:54256-54271
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Silva Ricardo Petri¹,Junior Sylvio Barbon²^ORCID,Zarpelão Bruno Bogaz³^ORCID,De Melo Leonimer Flavio¹^ORCID

Affiliation:

1. Department of Electrical Engineering, State University of Londrina, Londrina, Brazil

2. Department of Engineering and Architecture, Università degli studi di Trieste, Trieste, Italy

3. Department of Computer Science, State University of Londrina, Londrina, Brazil

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10499446.pdf?arnumber=10499446

Reference54 articles.

1. Digital signal processing in the UK

2. Two-Stage Framework for Seasonal Time Series Forecasting

3. COVID-19 Outbreak: An Epidemic Analysis using Time Series Prediction Model

4. Time series analysis of COVID-19 infection curve: A change-point perspective

5. Unsupervised Anomaly Detection in Time Series Using LSTM-Based Autoencoders

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