| 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 | 59 | 2020 |
| 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 | 23 | 2020 |
| 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 | 19 | 2020 |
| 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 | 15 | 2019 |
| 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 | 14 | 2012 |
| 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 | 8 | 2022 |
| 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 | 8 | 2020 |
| 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 | 7 | 2020 |
| 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 | 5 | 2022 |
| 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 | 3 | 2022 |
| Detecção de eventos em redes de sensores sem fio LD de Sousa Universidade Federal de Minas Gerais, 2011 | 1 | 2011 |
| 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 | | |
Daniel F. LeiteResearcher, Paderborn University, Germany在 uni-paderborn.de 的电子邮件经过验证
