| 2026 | ESANN | A Deep Learning Diagnostic Observer for Time Series Anomaly Detection. | Assmaa AlSamadi, Fannia Pacheco, Paul Honeine |
| 2025 | IJCNN | Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series. | Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine |
| 2019 | ICSOC | A Wearable Machine Learning Solution for Internet Traffic Classification in Satellite Communications. | Fannia Pacheco, Ernesto Exposito, Mathieu Gineste |
| 2018 | IJCNN | A novel statistical based feature extraction approach for the inner-class feature estimation using linear regression. | Fannia Pacheco, Ernesto Exposito, Jos Aguilar, Mathieu Gineste, Cdric Baudoin |
| 2017 | MEDES | An autonomic traffic analysis proposal using Machine Learning techniques. | Fannia Pacheco, Ernesto Exposito, Mathieu Gineste, Cdric Baudoin |
| 2016 | IJCNN | Clustering algorithm using rough set theory for unsupervised feature selection. | Fannia Pacheco, Mariela Cerrada, Ren-Vinicio Snchez, Diego Cabrera, Chuan Li, Jos Valente de Oliveira |
| 2014 | CLEI | Methodological framework for data processing based on the Data Science paradigm. | Fannia Pacheco, Carlos Ramn Rangel, Jos Aguilar, Mariela Cerrada-Lozada, Junior Altamiranda |
| 2013 | CLEI | Methodology for detecting the feasibility of using data mining in an organization. | Carlos Ramn Rangel, Fannia Pacheco, Jos Aguilar, Mariela Cerrada, Altamiranda |