OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers
Leticia Decker, Daniel Leite, Fabio Viola, et al.
(2020), pp. 1-8
Open Access | Times Cited: 9
Leticia Decker, Daniel Leite, Fabio Viola, et al.
(2020), pp. 1-8
Open Access | Times Cited: 9
Showing 9 citing articles:
Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach
Leticia Decker, Daniel Leite, L. Giommi, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2020), pp. 1-8
Open Access | Times Cited: 39
Leticia Decker, Daniel Leite, L. Giommi, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2020), pp. 1-8
Open Access | Times Cited: 39
Developing an Anomaly Detection System for Automatic Defective Products’ Inspection
Yu-Hsin Hung
Processes (2022) Vol. 10, Iss. 8, pp. 1476-1476
Open Access | Times Cited: 5
Yu-Hsin Hung
Processes (2022) Vol. 10, Iss. 8, pp. 1476-1476
Open Access | Times Cited: 5
Landslide Risk Assessment Using Granular Fuzzy Rule-Based Modeling: A Case Study on Earthquake-Triggered Landslides
Bingxin Shi, Ting Zeng, Chuan Tang, et al.
IEEE Access (2021) Vol. 9, pp. 135790-135802
Open Access | Times Cited: 6
Bingxin Shi, Ting Zeng, Chuan Tang, et al.
IEEE Access (2021) Vol. 9, pp. 135790-135802
Open Access | Times Cited: 6
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams
Daniel Leite, Alisson Marques da Silva, Gabriella Casalino, et al.
(2024), pp. 1-10
Open Access
Daniel Leite, Alisson Marques da Silva, Gabriella Casalino, et al.
(2024), pp. 1-10
Open Access
Unsupervised Learning and Online Anomaly Detection
Leticia Decker, Daniel Leite, Francesco Minarini, et al.
International Journal of Embedded and Real-Time Communication Systems (2022) Vol. 13, Iss. 1, pp. 1-16
Closed Access | Times Cited: 2
Leticia Decker, Daniel Leite, Francesco Minarini, et al.
International Journal of Embedded and Real-Time Communication Systems (2022) Vol. 13, Iss. 1, pp. 1-16
Closed Access | Times Cited: 2
Explainable Log Parsing and Online Interval Granular Classification from Streams of Words
Leticia Decker, Daniel Leite, D. Bonacorsi
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2022), pp. 1-8
Closed Access | Times Cited: 2
Leticia Decker, Daniel Leite, D. Bonacorsi
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2022), pp. 1-8
Closed Access | Times Cited: 2
Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach
Leticia Decker, Daniel Leite, L. Giommi, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1
Leticia Decker, Daniel Leite, L. Giommi, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1
RETRACTED: A fast clustering algorithm for evolving fuzzy classifier based on samples mean
Emmanuel Tavares, Alisson Marques da Silva, Gray Farias Moita
Journal of Intelligent & Fuzzy Systems (2022) Vol. 43, Iss. 6, pp. 6897-6908
Closed Access | Times Cited: 1
Emmanuel Tavares, Alisson Marques da Silva, Gray Farias Moita
Journal of Intelligent & Fuzzy Systems (2022) Vol. 43, Iss. 6, pp. 6897-6908
Closed Access | Times Cited: 1
Analyzing WLCG File Transfer Errors Through Machine Learning
L. Clissa, M. Lassnig, L. Rinaldi
Computing and Software for Big Science (2022) Vol. 6, Iss. 1
Open Access
L. Clissa, M. Lassnig, L. Rinaldi
Computing and Software for Big Science (2022) Vol. 6, Iss. 1
Open Access
