Fannia Pacheco
Orcid: 0000-0001-6997-0222
According to our database1,
Fannia Pacheco
authored at least 20 papers
between 2013 and 2022.
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Bibliography
2022
Deep Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis.
IEEE Access, 2022
2020
A framework to classify heterogeneous Internet traffic with Machine Learning and Deep Learning techniques for satellite communications.
Comput. Networks, 2020
2019
Classification techniques for the management of the "Quality of Service" in Satellite Communication systems. (Techniques de classification pour la gestion de la « qualité de service » dans les systèmes de communication par satellite).
PhD thesis, 2019
Towards the Deployment of Machine Learning Solutions in Network Traffic Classification: A Systematic Survey.
IEEE Commun. Surv. Tutorials, 2019
A Wearable Machine Learning Solution for Internet Traffic Classification in Satellite Communications.
Proceedings of the Service-Oriented Computing - 17th International Conference, 2019
2018
J. Intell. Fuzzy Syst., 2018
A fuzzy transition based approach for fault severity prediction in helical gearboxes.
Fuzzy Sets Syst., 2018
A novel statistical based feature extraction approach for the inner-class feature estimation using linear regression.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification.
Knowl. Based Syst., 2017
Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery.
Expert Syst. Appl., 2017
Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation.
Appl. Soft Comput., 2017
SOA Based Integrated Software to Develop Fault Diagnosis Models Using Machine Learning in Rotating Machinery.
Proceedings of the 2017 IEEE Symposium on Service-Oriented System Engineering, 2017
Proceedings of the 9th International Conference on Management of Digital EcoSystems, 2017
2016
A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions.
Neurocomputing, 2016
Observer-biased bearing condition monitoring: From fault detection to multi-fault classification.
Eng. Appl. Artif. Intell., 2016
Hierarchical feature selection based on relative dependency for gear fault diagnosis.
Appl. Intell., 2016
A methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2014
Proceedings of the XL Latin American Computing Conference, 2014
2013
Proceedings of the 2013 XXXIX Latin American Computing Conference (CLEI), 2013