Fannia Pacheco

Orcid: 0000-0001-6997-0222

According to our database1, Fannia Pacheco authored at least 21 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Threshold-guided multi-objective Generative Adversarial Networks for constructing artificial yet representative driving cycles.
Eng. Appl. Artif. Intell., 2024

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
A comparison of fuzzy clustering algorithms for bearing fault diagnosis.
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

An autonomic traffic analysis proposal using Machine Learning techniques.
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

Clustering algorithm using rough set theory for unsupervised feature selection.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014
Methodological framework for data processing based on the Data Science paradigm.
Proceedings of the XL Latin American Computing Conference, 2014

2013
Methodology for detecting the feasibility of using data mining in an organization.
Proceedings of the 2013 XXXIX Latin American Computing Conference (CLEI), 2013


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