Fannia Pacheco

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 18

Top Venues

IJCNN

Eng. Appl. Artif. Intell.

CLEI

Comput. Networks

University of Pau and Pays de l'Adour, France (PHD)

Education History

University of Pau and Pays de l'Adour, France

PHD

Publications

Fannia Pacheco, Mariela Cerrada, José Ignacio Huertas
Threshold-guided multi-objective Generative Adversarial Networks for constructing artificial yet representative driving cycles. Eng. Appl. Artif. Intell. 129 (2024)
Fannia Pacheco, Alin Drimus, Lars Duggen, Mariela Cerrada, Diego Cabrera, René-Vinicio Sánchez
Deep Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis. IEEE Access 10 (2022)
Fannia Pacheco, Ernesto Exposito, Mathieu Gineste
A framework to classify heterogeneous Internet traffic with Machine Learning and Deep Learning techniques for satellite communications. Comput. Networks 173 (2020)
Fannia Pacheco, Ernesto Exposito, Mathieu Gineste
A Wearable Machine Learning Solution for Internet Traffic Classification in Satellite Communications. ICSOC (2019)
Fannia Pacheco, Ernesto Exposito, Mathieu Gineste, Cédric Baudoin, José Aguilar
Towards the Deployment of Machine Learning Solutions in Network Traffic Classification: A Systematic Survey. IEEE Commun. Surv. Tutorials 21 (2) (2019)
Chuan Li, Mariela Cerrada, Diego Cabrera, René-Vinicio Sánchez, Fannia Pacheco, Gözde Ulutagay, José Valente de Oliveira
A comparison of fuzzy clustering algorithms for bearing fault diagnosis. J. Intell. Fuzzy Syst. 34 (6) (2018)
Mariela Cerrada, Chuan Li, René-Vinicio Sánchez, Fannia Pacheco, Diego Cabrera, José Valente de Oliveira
A fuzzy transition based approach for fault severity prediction in helical gearboxes. Fuzzy Sets Syst. 337 (2018)
Fannia Pacheco, Ernesto Exposito, José Aguilar, Mathieu Gineste, Cédric Baudoin
A novel statistical based feature extraction approach for the inner-class feature estimation using linear regression. IJCNN (2018)
Mariela Cerrada, Fannia Pacheco, René-Vinicio Sánchez, Diego Cabrera, Jean Macancela, Pablo Lucero
SOA Based Integrated Software to Develop Fault Diagnosis Models Using Machine Learning in Rotating Machinery. SOSE (2017)
Fannia Pacheco, Mariela Cerrada, René-Vinicio Sánchez, Diego Cabrera, Chuan Li, José Valente de Oliveira
Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery. Expert Syst. Appl. 71 (2017)
Fannia Pacheco, Ernesto Exposito, Mathieu Gineste, Cédric Baudoin
An autonomic traffic analysis proposal using Machine Learning techniques. MEDES (2017)
Chuan Li, Luiz Ledo, Myriam Regattieri Delgado, Mariela Cerrada, Fannia Pacheco, Diego Cabrera, René-Vinicio Sánchez, José Valente de Oliveira
A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification. Knowl. Based Syst. 129 (2017)
Diego Cabrera, Fernando Sancho, Chuan Li, Mariela Cerrada, René-Vinicio Sánchez, Fannia Pacheco, José Valente de Oliveira
Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation. Appl. Soft Comput. 58 (2017)
Fannia Pacheco, Mariela Cerrada, René-Vinicio Sánchez, Diego Cabrera, Chuan Li, José Valente de Oliveira
Clustering algorithm using rough set theory for unsupervised feature selection. IJCNN (2016)
Mariela Cerrada, René-Vinicio Sánchez, Fannia Pacheco, Diego Cabrera, Grover Zurita, Chuan Li
Hierarchical feature selection based on relative dependency for gear fault diagnosis. Appl. Intell. 44 (3) (2016)
Fannia Pacheco, Mariela Cerrada, René-Vinicio Sánchez, Diego Cabrera, Chuan Li, José Valente de Oliveira
A methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery. LA-CCI (2016)
Fannia Pacheco, José Valente de Oliveira, René-Vinicio Sánchez, Mariela Cerrada, Diego Cabrera, Chuan Li, Grover Zurita, Mariano Artés
A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions. Neurocomputing 194 (2016)
Chuan Li, José Valente de Oliveira, Mariela Cerrada, Fannia Pacheco, Diego Cabrera, René-Vinicio Sánchez, Grover Zurita
Observer-biased bearing condition monitoring: From fault detection to multi-fault classification. Eng. Appl. Artif. Intell. 50 (2016)
Fannia Pacheco, Carlos Ramón Rangel, José Aguilar, Mariela Cerrada-Lozada, Junior Altamiranda
Methodological framework for data processing based on the Data Science paradigm. CLEI (2014)
Carlos Ramón Rangel, Fannia Pacheco, José Aguilar, Mariela Cerrada, Altamiranda
Methodology for detecting the feasibility of using data mining in an organization. CLEI (2013)

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Publication Activity (10 Years)

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Fannia Pacheco