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Leticia Decker
Leticia Decker
Ph.D. in Data Science and Computation / Post-doc Researcher @ Scuola Normale Superiore
Email confirmado em sns.it - Página inicial
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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
502020
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
202020
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
182020
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
142019
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
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, 03017, 2020
82020
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
62022
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
62020
Real-time anomaly detection in data centers for log-based predictive maintenance using fuzzy-rule based approach. arXiv 2020
L Decker, D Leite, L Giommi, D Bonakorsi
arXiv preprint arXiv:2004.13527, 0
6
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, 753409, 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
22022
Detecção de eventos em redes de sensores sem fio
LD de Sousa
Universidade Federal de Minas Gerais, 2011
12011
Hybrid Classification of Audit Court Decisions using Online Context-Driven Neural Networks
L Decker, M Palmirani, S Sapienza, V Pistone
2023
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
O sistema não pode efectuar a operação agora. Tente mais tarde.
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