| 2022 | DocEng | Detecting malware using text documents extracted from spam email through machine learning. | Luis ngel Redondo-Gutierrez, Francisco Jez-Martino, Eduardo Fidalgo, Enrique Alegre, Vctor Gonzlez-Castro, Roco Alaz-Rodrguez |
| 2021 | DocEng | Trustworthiness of spam email addresses using machine learning. | Francisco Jez-Martino, Roco Alaz-Rodrguez, Vctor Gonzlez-Castro, Eduardo Fidalgo |
| 2020 | ICPRAM | File Name Classification Approach to Identify Child Sexual Abuse. | Mhd Wesam Al-Nabki, Eduardo Fidalgo, Enrique Alegre, Roco Alaz-Rodrguez |
| 2019 | HAIS | Use of Natural Language Processing to Identify Inappropriate Content in Text. | Sergio Merayo-Alba, Eduardo Fidalgo, Vctor Gonzlez-Castro, Roco Alaz-Rodrguez, Javier Velasco-Mata |
| 2009 | IWANN | Improving Classification under Changes in Class and Within-Class Distributions. | Roco Alaz-Rodrguez, Alicia Guerrero-Curieses, Jess Cid-Sueiro |
| 2008 | AI | Local Decision Bagging of Binary Neural Classifiers. | Roco Alaz-Rodrguez |
| 2008 | AI | Assessing the Impact of Changing Environments on Classifier Performance. | Roco Alaz-Rodrguez, Nathalie Japkowicz |
| 2008 | ICTAI | Visualizing Classifier Performance on Different Domains. | Roco Alaz-Rodrguez, Nathalie Japkowicz, Peter E. Tischer |
| 2005 | CIARP | Tool Insert Wear Classification Using Statistical Descriptors and Neuronal Networks. | Enrique Alegre, Roco Alaz-Rodrguez, Joaqun Barreiro, M. Viuela |
| 2002 | ICANN | Neural Minimax Classifiers. | Roco Alaz-Rodrguez, Jess Cid-Sueiro |