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Leticia Decker
ORCID
Publication Activity (10 Years)
Years Active: 2020-2022
Publications (10 Years): 8
Top Topics
Power Quality Disturbance
Fuzzy Classifier
Anomaly Detection
Unsupervised Learning
Top Venues
CoRR
FUZZ-IEEE
Int. J. Embed. Real Time Commun. Syst.
EAIS
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Publications
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Leticia Decker
,
Daniel F. Leite
,
Francesco Minarini
,
Simone Rossi Tisbeni
,
Daniele Bonacorsi
Unsupervised Learning and Online Anomaly Detection: An On-Condition Log-Based Maintenance System.
Int. J. Embed. Real Time Commun. Syst.
13 (1) (2022)
Leticia Decker
,
Daniel F. Leite
,
Daniele Bonacorsi
Explainable Log Parsing and Online Interval Granular Classification from Streams of Words.
FUZZ-IEEE
(2022)
Leticia Decker
,
Daniel F. Leite
,
Luca Giommi
,
Daniele Bonacorsi
Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach.
FUZZ-IEEE
(2020)
Leticia Decker
,
Daniel F. Leite
,
Luca Giommi
,
Daniele Bonacorsi
Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach.
CoRR
(2020)
Leticia Decker
,
Daniel F. Leite
,
Fabio Viola
,
Daniele Bonacorsi
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers.
EAIS
(2020)
Daniel F. Leite
,
Leticia Decker
,
Marcio Santana
,
Paulo Vitor de Campos Souza
EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending Semi-Supervised Data Streams - With Application to Power Quality Disturbance Detection and Classification.
CoRR
(2020)
Leticia Decker
,
Daniel F. Leite
,
Fabio Viola
,
Daniele Bonacorsi
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers.
CoRR
(2020)
Daniel F. Leite
,
Leticia Decker
,
Marcio Santana
,
Paulo Vitor de Campos Souza
EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending Semi-Supervised Data Streams - With Application to Power Quality Disturbance Detection and Classification.
FUZZ-IEEE
(2020)