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Leticia Decker
Leticia Decker
Ph.D. in Data Science and Computation / Post-doc Researcher @ Scuola Normale Superiore
Dirección de correo verificada de sns.it - Página principal
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Real-time anomaly detection in data centers for log-based predictive maintenance using an evolving fuzzy-rule-based approach
L Decker, D Leite, L Giommi, D Bonacorsi
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2020
432020
EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending Semi-Supervised Data Streams - With Application to Power Quality Disturbance Detection and Classification
D Leite, L Decker, M Santana, P Souza
arXiv preprint arXiv: 2004.09986v1, 2020
192020
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers
L Decker, D Leite, F Viola, D Bonacorsi
arXiv preprint arXiv:2005.04156v1, 2020
152020
Event detection framework for wireless sensor networks considering data anomaly
LD De Sousa, AC Frery, EF Nakamura, AAF Loureiro
2012 IEEE Symposium on Computers and Communications (ISCC), 000500-000507, 2012
142012
Big data analysis for predictive maintenance at the INFN-CNAF data center using machine learning approaches
LD De Sousa, L Giommi, SR Tisbeni, F Viola, B Martelli, D Bonacorsi
Conf of Open Innovations Association (FRUCT), Helsinki, 448-451, 2019
132019
Operational intelligence for distributed computing systems for exascale science
A Di Girolamo, F Legger, P Paparrigopoulos, A Klimentov, J Schovancová, ...
EPJ Web of Conferences 245, 1-8, 2020
72020
Explainable Log Parsing and Online Interval Granular Classification from Streams of Words
L Decker, D Leite, D Bonacorsi
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2022
52022
Time-series anomaly detection applied to log-based diagnostic system using unsupervised machine learning approach
F Minarini, L Decker
Conference of Open Innovations Association, FRUCT, 343-348, 2020
52020
Preparing distributed computing operations for the hl-lhc era with operational intelligence
A Di Girolamo, F Legger, P Paparrigopoulos, J Schovancová, ...
Frontiers in big Data 4, 115, 2022
42022
Unsupervised Learning and Online Anomaly Detection: An On-Condition Log-Based Maintenance System
L Decker, D Leite, F Minarini, S T. Rossi, D Bonacorsi
International Journal of Embedded and Real-Time Communication Systems …, 2022
12022
Detecção de eventos em redes de sensores sem fio
LD de Sousa
Universidade Federal de Minas Gerais, 2011
12011
Data-stream driven Fuzzy-granular approaches for system maintenance
L Decker de Sousa
alma, 2022
2022
Detecçao de Anomalias em Logs para Manutençao Preditiva baseada em Sistema Fuzzy Evolutivo Fracamente Supervisionado
L Decker, D Leite
Congresso Brasileiro de Automática-CBA 2 (1), 2020
2020
Operational Intelligence
P Paparrigopoulos, A Di Girolamo, F Legger, et al.
ATL-COM-SOFT-2020-024, 2020
2020
Modelagem Unificada de Métodos de Detecçao de Eventos em Redes de Sensores sem Fio e Aplicaçao em Presença de Dados Anômalos
LD de Sousa, AAF Loureiro, AC Frery
Anomaly Detection prototype for log-based Predictive Maintenance at INFN-CNAF Tier-1
D Bonacorsi, LD de Sousa, L Giommi, F Minarini
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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