| A review on data-driven fault severity assessment in rolling bearings M Cerrada, RV Sánchez, C Li, F Pacheco, D Cabrera, JV De Oliveira, ... Mechanical Systems and Signal Processing 99, 169-196, 2018 | 679 | 2018 |
| Towards the deployment of machine learning solutions in network traffic classification: A systematic survey F Pacheco, E Exposito, M Gineste, C Baudoin, J Aguilar IEEE Communications Surveys & Tutorials 21 (2), 1988-2014, 2018 | 377 | 2018 |
| Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery F Pacheco, M Cerrada, RV Sánchez, D Cabrera, C Li, JV de Oliveira Expert Systems with Applications 71, 69-86, 2017 | 111 | 2017 |
| A comparison of fuzzy clustering algorithms for bearing fault diagnosis C Li, M Cerrada, D Cabrera, RV Sanchez, F Pacheco, G Ulutagay, ... Journal of Intelligent & Fuzzy Systems 34 (6), 3565-3580, 2018 | 95 | 2018 |
| Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation D Cabrera, F Sancho, C Li, M Cerrada, RV Sánchez, F Pacheco, ... Applied Soft Computing 58, 53-64, 2017 | 84 | 2017 |
| A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions F Pacheco, JV de Oliveira, RV Sánchez, M Cerrada, D Cabrera, C Li, ... Neurocomputing 194, 192-206, 2016 | 71 | 2016 |
| Hierarchical feature selection based on relative dependency for gear fault diagnosis M Cerrada, RV Sánchez, F Pacheco, D Cabrera, G Zurita, C Li Applied Intelligence 44, 687-703, 2016 | 69 | 2016 |
| Observer-biased bearing condition monitoring: From fault detection to multi-fault classification C Li, JV De Oliveira, M Cerrada, F Pacheco, D Cabrera, V Sanchez, ... Engineering Applications of Artificial Intelligence 50, 287-301, 2016 | 60 | 2016 |
| Methodological framework for data processing based on the Data Science paradigm F Pacheco, C Rangel, J Aguilar, M Cerrada, J Altamiranda 2014 XL Latin american computing conference (CLEI), 1-12, 2014 | 56 | 2014 |
| A framework to classify heterogeneous Internet traffic with Machine Learning and Deep Learning techniques for satellite communications F Pacheco, E Exposito, M Gineste Computer Networks 173, 107213, 2020 | 46 | 2020 |
| A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification C Li, L Ledo, M Delgado, M Cerrada, F Pacheco, D Cabrera, RV Sánchez, ... Knowledge-based systems 129, 39-60, 2017 | 43 | 2017 |
| A fuzzy transition based approach for fault severity prediction in helical gearboxes M Cerrada, C Li, RV Sánchez, F Pacheco, D Cabrera, JV de Oliveira Fuzzy Sets and Systems 337, 52-73, 2018 | 36 | 2018 |
| Multi-fault diagnosis of rotating machinery by using feature ranking methods and SVM-based classifiers RV Sánchez, P Lucero, JC Macancela, M Cerrada, RE Vásquez, ... 2017 International conference on sensing, diagnostics, prognostics, and …, 2017 | 28 | 2017 |
| Deep ensemble-based classifier for transfer learning in rotating machinery fault diagnosis F Pacheco, A Drimus, L Duggen, M Cerrada, D Cabrera, RV Sanchez IEEE Access 10, 29778-29787, 2022 | 10 | 2022 |
| Methodology for detecting the feasibility of using data mining in an organization C Rangel, F Pacheco, J Aguilar, M Cerrada, J Altamiranda 2013 XXXIX Latin American Computing Conference (CLEI), 1-12, 2013 | 10 | 2013 |
| SOA based integrated software to develop fault diagnosis models using machine learning in rotating machinery M Cerrada, F Pacheco, RV Sánchez, D Cabrera, J Macancela, P Lucero 2017 IEEE Symposium on Service-Oriented System Engineering (SOSE), 28-37, 2017 | 8 | 2017 |
| Some preliminary results on the comparison of FCM, GK, FCMFP and FN-DBSCAN for bearing fault diagnosis C Li, M Cerrada, D Cabrera, RV Sanchez, F Pacheco, G Ulutagay, ... 2017 international conference on sensing, diagnostics, prognostics, and …, 2017 | 7 | 2017 |
| Clustering algorithm using rough set theory for unsupervised feature selection F Pacheco, M Cerrada, RV Sanchez, D Cabrera, C Li, JV De Oliveira 2016 international joint conference on neural networks (ijcnn), 3493-3499, 2016 | 6 | 2016 |
| A novel statistical based feature extraction approach for the inner-class feature estimation using linear regression F Pacheco, E Exposito, J Aguilar, M Gineste, C Baudoin 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 5 | 2018 |
| A wearable Machine Learning solution for Internet traffic classification in Satellite Communications F Pacheco, E Exposito, M Gineste Service-Oriented Computing: 17th International Conference, ICSOC 2019 …, 2019 | 4 | 2019 |
Mariela Cerrada Lozada (ORCID: 000...Universidad Politécnica Salesiana, Cuenca-Ecuadorכתובת אימייל מאומתת בדומיין ups.edu.ec