| 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 |
| 2018 | EDM | A Hybrid Multi-Criteria approach using a Genetic Algorithm for Recommending Courses to University Students. | Aurora Esteban, Amelia Zafra, Cristbal Romero |
| 2017 | EDM | Towards Automatic Classification of Learning Objects: Reducing the Number of Used Features. | Cristbal Romero, Pedro G. Espejo, Eva Gibaja, Alfredo Zapata Gonzalez, Vctor H. Menndez |
| 2016 | EDM | Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs. | Alfredo Zapata Gonzalez, Vctor H. Menndez, Cristbal Romero, Manuel Emilio Prieto Mndez |
| 2015 | EDM | Discovering Students' Navigation Paths in Moodle. | Alejandro Bogarn, Cristbal Romero, Rebeca Cerezo |
| 2015 | LAK | Discovering clues to avoid middle school failure at early stages. | Manuel ngel Jimnez-Gmez, Jos Mara Luna, Cristbal Romero, Sebastin Ventura |
| 2014 | EDM | Accepting or Rejecting Students_ Self-grading in their Final Marks by using Data Mining. | Javier Fuentes, Cristbal Romero, Carlos Garca-Martnez, Sebastin Ventura |
| 2014 | LAK | Clustering for improving educational process mining. | Alejandro Bogarn, Cristbal Romero, Rebeca Cerezo, Miguel Snchez-Santilln |
| 2013 | EDM | A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data. | Cristbal Romero, Cristobal Castro, Sebastin Ventura |
| 2013 | EDM | A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets. | Cristbal Romero, Juan Luis Olmo, Sebastin Ventura |
| 2013 | EUROGP | Discovering Subgroups by Means of Genetic Programming. | Jos Mara Luna, Jos Ral Romero, Cristbal Romero, Sebastin Ventura |
| 2012 | EDM | Classification via clustering for predicting final marks starting from the student participation in Forums. | Manuel Ignacio Lpez, Cristbal Romero, Sebastin Ventura, Jos Mara Luna |
| 2012 | EDM | Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets. | Mara De Mar Molina, Cristbal Romero, Sebastin Ventura, Jos Mara Luna |
| 2012 | ISDA | A genetic programming free-parameter algorithm for mining association rules. | Jos Mara Luna, Jos Ral Romero, Cristbal Romero, Sebastin Ventura |
| 2011 | EDM | Using Data Mining in a Recommender System to Search for Learning Objects in Repositories. | Alfredo Zapata Gonzalez, Vctor Hugo Menndez-Domnguez, Manuel E. Prieto, Cristbal Romero |
| 2011 | EDM | Predicting School Failure Using Data Mining. | Carlos Mrquez-Vera, Cristbal Romero, Sebastin Ventura |
| 2011 | EDM | A Java Desktop Tool for Mining Moodle Data. | Rafael Pedraza Perez, Cristbal Romero, Sebastin Ventura |
| 2011 | ISDA | A similarity-based approach to enhance learning objects management systems. | Vctor Hugo Menndez-Domnguez, Alfredo Zapata, Manuel E. Prieto, Cristbal Romero, Jess Serrano-Guerrero |
| 2010 | EDM | Mining Rare Association Rules from e-Learning Data. | Cristbal Romero, Jos Ral Romero, Jos Mara Luna, Sebastin Ventura |
| 2010 | EDM | Class Association Rules Mining from Students' Test Data. | Cristbal Romero, Sebastin Ventura, Ekaterina Vasilyeva, Mykola Pechenizkiy |
| 2009 | EDM | Collaborative Data Mining Tool for Education. | Cristbal Romero, Sebastin Ventura, Enrique Garca, Carlos de Castro, Miguel Gea |
| 2009 | ISDA | Predicting Academic Achievement Using Multiple Instance Genetic Programming. | Amelia Zafra, Cristbal Romero, Sebastin Ventura |
| 2008 | EDM | Mining and Visualizing Visited Trails in Web-Based Educational Systems. | Cristbal Romero, Sergio Gutirrez Santos, Manuel Freire, Sebastin Ventura |
| 2008 | EDM | Data Mining Algorithms to Classify Students. | Cristbal Romero, Sebastin Ventura, Pedro G. Espejo, Csar Hervs |
| 2008 | EDM | Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. | Sebastin Ventura, Cristbal Romero, Csar Hervs |
| 2007 | IWANN | Multiple Instance Learning with Genetic Programming for Web Mining. | Amelia Zafra, Sebastin Ventura, Enrique Herrera-Viedma, Cristbal Romero |
| 2007 | IWINAC | Evolutionary Combining of Basis Function Neural Networks for Classification. | Csar Hervs, Francisco Jos Martnez, Mariano Carbonero-Ruz, Cristbal Romero, Juan Carlos Fernndez |
| 2006 | IDEAL | Using Rules Discovery for the Continuous Improvement of e-Learning Courses. | Enrique Garca, Cristbal Romero, Sebastin Ventura, Carlos de Castro |