| 2024 | EDM | Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence. | Pamela Buay-Guisan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristbal Romero |
| 2022 | EDM | Looking for the best data fusion model in Smart Learning Environments for detecting at risk university students. | Cristbal Romero, Wilson Chango, Rebeca Cerezo |
| 2020 | EDM | Predicting students' performance using emotion detection from face-recording video when interacting with an ITS. | Wilson Chango, Miguel Snchez-Santilln, Rebeca Cerezo, Cristbal Romero |
| 2015 | EDM | Discovering Students' Navigation Paths in Moodle. | Alejandro Bogarn, Cristbal Romero, Rebeca Cerezo |
| 2015 | EDM | Different Patterns of Students' Interaction with Mooodle and Their Relationship with Achievement. | Rebeca Cerezo, Miguel Snchez-Santilln, Jos C. Nuez, M. Puerto Paule-Ruz |
| 2014 | LAK | Clustering for improving educational process mining. | Alejandro Bogarn, Cristbal Romero, Rebeca Cerezo, Miguel Snchez-Santilln |
| 2014 | LAK | eGraph tool: graphing the learning process in LMSs. | Rebeca Cerezo, Natalia Suarez, Jos Carlos Nez, Miguel Snchez-Santilln |