Cristóbal Romero

113 papers A 3B 28C 6Misc 1Journal 70Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards accessible AI for addressing students' academic dropout: an auto machine learning and explainable artificial intelligence approach. Univers. Access Inf. Soc. Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristóbal Romero
2026	J	`jnl`	Unbalanced Data Mining Algorithms from IoT Sensors for Early Cockroach Infestation Prediction in Sewer Systems. Algorithms Joaquín Aguilar, Cristóbal Romero, Carlos de-Castro-Lozano, Enrique García
2025	J	`jnl`	A review on data fusion in multimodal learning analytics and educational data mining. CoRR Wilson Chango, Juan Alfonso Lara, Rebeca Cerezo, Cristóbal Romero
2024	J	`jnl`	A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children. CoRR Rebeca Cerezo, Vicente Calderón, Cristóbal Romero
2024	B	`conf`	Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence. EDM Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristóbal Romero
2024	J	`jnl`	Educational data mining and learning analytics: An updated survey. CoRR Cristóbal Romero, Sebastián Ventura
2024	J	`jnl`	Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization. CoRR Aurora Esteban, Amelia Zafra, Cristóbal Romero
2024	J	`jnl`	Improving essay peer grading accuracy in MOOCs using personalized weights from student's engagement and performance. CoRR Carlos García-Martínez, Rebeca Cerezo, Manuel Bermúdez, Cristóbal Romero
2024	J	`jnl`	Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources. CoRR Wilson Chango, Rebeca Cerezo, Miguel Sánchez-Santillán, Roger Azevedo, Cristóbal Romero
2024	J	`jnl`	Improving the portability of predicting students performance models by using ontologies. CoRR Javier López-Zambrano, Juan Alfonso Lara, Cristóbal Romero
2024	J	`jnl`	Modeling and predicting students' engagement behaviors using mixture Markov models. CoRR Rabia Maqsood, Paolo Ceravolo, Cristóbal Romero, Sebastián Ventura
2024	J	`jnl`	Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses. CoRR Wilson Chango, Rebeca Cerezo, Cristóbal Romero
2024	J	`jnl`	Process mining for self-regulated learning assessment in e-learning. CoRR Rebeca Cerezo, Alejandro Bogarín, María Esteban, Cristóbal Romero
2024	J	`jnl`	Reviewing the differences between learning analytics and educational data mining: Towards educational data science. Comput. Hum. Behav. Rebeca Cerezo, Juan Alfonso Lara, Roger Azevedo, Cristóbal Romero
2024	J	`jnl`	Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners. CoRR José María Luna, Habib M. Fardoun, Francisco Padillo, Cristóbal Romero, Sebastián Ventura
2024	J	`jnl`	Text mining in education. CoRR Rafael Ferreira Mello, Máverick André, Anderson Pinheiro, Evandro Costa, Cristóbal Romero
2023	J	`jnl`	A Case-Study Comparison of Machine Learning Approaches for Predicting Student's Dropout from Multiple Online Educational Entities. Algorithms Jose Manuel Porras, Juan Alfonso Lara, Cristóbal Romero, Sebastián Ventura
2023	—	`conf`	Selecting the Best Approach for Predicting Student Dropout in Full Online Private Higher Education. LASI Spain Jose Manuel Porras, Antonio Porras, José Alberto Fernández, Cristóbal Romero, Sebastián Ventura
2022	J	`jnl`	A review on data fusion in multimodal learning analytics and educational data mining. WIREs Data Mining Knowl. Discov. Wilson Chango, Juan Alfonso Lara, Rebeca Cerezo, Cristóbal Romero
2022	J	`jnl`	Correction to: Improving the portability of predicting students' performance models by using ontologies. J. Comput. High. Educ. Javier López-Zambrano, Juan Alfonso Lara, Cristóbal Romero
2022	J	`jnl`	Improving the portability of predicting students' performance models by using ontologies. J. Comput. High. Educ. Javier López-Zambrano, Juan Alfonso Lara, Cristóbal Romero
2022	B	`conf`	Looking for the best data fusion model in Smart Learning Environments for detecting at risk university students. EDM Cristóbal Romero, Wilson Chango, Rebeca Cerezo
2022	J	`jnl`	Modeling and predicting students' engagement behaviors using mixture Markov models. Knowl. Inf. Syst. Rabia Maqsood, Paolo Ceravolo, Cristóbal Romero, Sebastián Ventura
2022	J	`jnl`	Subgroup discovery in MOOCs: a big data application for describing different types of learners. Interact. Learn. Environ. José María Luna, Habib M. Fardoun, Francisco Padillo, Cristóbal Romero, Sebastián Ventura
2021	J	`jnl`	Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources. J. Comput. High. Educ. Wilson Chango, Rebeca Cerezo, Miguel Sánchez-Santillán, Roger Azevedo, Cristóbal Romero
2021	J	`jnl`	Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses. Comput. Electr. Eng. Wilson Chango, Rebeca Cerezo, Cristóbal Romero
2020	J	`jnl`	Educational data mining and learning analytics: An updated survey. WIREs Data Mining Knowl. Discov. Cristóbal Romero, Sebastián Ventura
2020	J	`jnl`	Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization. Knowl. Based Syst. Aurora Esteban, Amelia Zafra, Cristóbal Romero
2020	—	`ed.`	Joint Proceedings of the Workshops of the 12th International Conference on Educational Data Mining co-located with the 12th International Conference on Educational Data Mining, EDM 2019 Workshops, Montréal, Canada, July 2-5, 2019. EDM (Workshops) Luc Paquette, Cristóbal Romero
2020	B	`conf`	Predicting students' performance using emotion detection from face-recording video when interacting with an ITS. EDM Wilson Chango, Miguel Sánchez-Santillán, Rebeca Cerezo, Cristóbal Romero
2020	B	`ed.`	Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020, Fully virtual conference, July 10-13, 2020 EDM Anna N. Rafferty, Jacob Whitehill, Cristóbal Romero, Violetta Cavalli-Sforza
2020	J	`jnl`	Process mining for self-regulated learning assessment in e-learning. J. Comput. High. Educ. Rebeca Cerezo, Alejandro Bogarín, María Esteban, Cristóbal Romero
2019	J	`jnl`	A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children. Int. J. Hum. Comput. Stud. Rebeca Cerezo, Vicente Calderón, Cristóbal Romero
2019	J	`jnl`	Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance. IEEE Trans. Learn. Technol. Cristóbal Romero, Sebastián Ventura
2019	J	`jnl`	Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information. J. Univers. Comput. Sci. Pedro G. Espejo, Eva Gibaja, Víctor H. Menéndez, Alfredo Zapata, Cristóbal Romero
2019	J	`jnl`	Improving essay peer grading accuracy in massive open online courses using personalized weights from student's engagement and performance. J. Comput. Assist. Learn. Carlos García-Martínez, Rebeca Cerezo, Manuel Bermúdez, Cristóbal Romero
2019	C	`conf`	Predicting academic performance of university students from multi-sources data in blended learning. DATA Wilson Chango, Rebeca Cerezo, Cristóbal Romero
2019	J	`jnl`	Text mining in education. WIREs Data Mining Knowl. Discov. Rafael Ferreira Leite de Mello, Maverick Andre Dionisio Ferreira, Anderson Pinheiro Cavalcanti, Evandro Costa, Cristóbal Romero
2018	B	`conf`	A Hybrid Multi-Criteria approach using a Genetic Algorithm for Recommending Courses to University Students. EDM Aurora Esteban, Amelia Zafra, Cristóbal Romero
2018	J	`jnl`	A survey on educational process mining. WIREs Data Mining Knowl. Discov. Alejandro Bogarín, Rebeca Cerezo, Cristóbal Romero
2017	J	`jnl`	Educational data science in massive open online courses. WIREs Data Mining Knowl. Discov. Cristóbal Romero, Sebastián Ventura
2017	J	`jnl`	MDM tool: A data mining framework integrated into Moodle. Comput. Appl. Eng. Educ. José María Luna, Cristobal Castro, Cristóbal Romero
2017	B	`conf`	Towards Automatic Classification of Learning Objects: Reducing the Number of Used Features. EDM Cristóbal Romero, Pedro G. Espejo, Eva Gibaja, Alfredo Zapata Gonzalez, Víctor H. Menéndez
2016	J	`jnl`	Early dropout prediction using data mining: a case study with high school students. Expert Syst. J. Knowl. Eng. Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Amin Y. Noaman, Habib M. Fardoun, Sebastián Ventura
2016	J	`jnl`	Editorial: A Message from the Editorial Team and an Introduction to the January-March 2016 Issue. IEEE Trans. Learn. Technol. Peter Brusilovsky, Mike Sharples, Gustavo R. Alves, Tiffany Barnes, Sherry Y. Chen, Carol H. C. Chu, Hendrik Drachsler, Seiji Isotani, Euan Lindsay, Xavier Ochoa, Mykola Pechenizkiy, Ma. Mercedes T. Rodrigo, Cristóbal Romero, Sergey A. Sosnovsky, Stefaan Ternier, Katrien Verbert
2016	B	`conf`	Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs. EDM Alfredo Zapata Gonzalez, Víctor H. Menéndez, Cristóbal Romero, Manuel Emilio Prieto Méndez
2016	B	`conf`	Using Android Wear for Avoiding Procrastination Behaviours in MOOCs. L@S Cristóbal Romero, Rebeca Cerezo, Jose Antonio Espino, Manuel Bermúdez
2015	J	`jnl`	An evolutionary algorithm for the discovery of rare class association rules in learning management systems. Appl. Intell. José María Luna, Cristóbal Romero, José Raúl Romero, Sebastián Ventura
2015	B	`conf`	Discovering Students' Navigation Paths in Moodle. EDM Alejandro Bogarín, Cristóbal Romero, Rebeca Cerezo
2015	A	`conf`	Discovering clues to avoid middle school failure at early stages. LAK Manuel Ángel Jiménez-Gómez, José María Luna, Cristóbal Romero, Sebastián Ventura
2015	J	`jnl`	Evaluation and selection of group recommendation strategies for collaborative searching of learning objects. Int. J. Hum. Comput. Stud. Alfredo Zapata, Víctor H. Menéndez, Manuel E. Prieto, Cristóbal Romero
2015	J	`jnl`	Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets. Int. J. Comput. Intell. Syst. Juan Luis Olmo, Cristóbal Romero, Eva Gibaja, Sebastián Ventura
2015	J	`jnl`	J. A. Larusson, B. White (eds): Learning Analytics: From Research to Practice. Technol. Knowl. Learn. Cristóbal Romero, Sebastián Ventura
2015	B	`ed.`	Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015 EDM Olga C. Santos, Jesus Boticario, Cristóbal Romero, Mykola Pechenizkiy, Agathe Merceron, Piotr Mitros, José María Luna, Marian Cristian Mihaescu, Pablo Moreno, Arnon Hershkovitz, Sebastián Ventura, Michel C. Desmarais
2015	J	`jnl`	Recommender systems in social and online learning environments. Expert Syst. J. Knowl. Eng. Tiffany Ya Tang, Ben K. Daniel, Cristóbal Romero
2014	B	`conf`	Accepting or Rejecting Students_ Self-grading in their Final Marks by using Data Mining. EDM Javier Fuentes, Cristóbal Romero, Carlos García-Martínez, Sebastián Ventura
2014	A	`conf`	Clustering for improving educational process mining. LAK Alejandro Bogarín, Cristóbal Romero, Rebeca Cerezo, Miguel Sánchez-Santillán
2014	J	`jnl`	Foreword: Intelligent data analysis. J. Comput. Syst. Sci. Sebastián Ventura, Cristóbal Romero, Ajith Abraham
2014	J	`jnl`	On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery. IEEE Trans. Cybern. José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
2014	J	`jnl`	Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm. Integr. Comput. Aided Eng. José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
2013	B	`conf`	A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data. EDM Cristóbal Romero, Cristobal Castro, Sebastián Ventura
2013	J	`jnl`	A framework for recommendation in learning object repositories: An example of application in civil engineering. Adv. Eng. Softw. Alfredo Zapata, Víctor H. Menéndez, Manuel E. Prieto, Cristóbal Romero
2013	B	`conf`	A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets. EDM Cristóbal Romero, Juan Luis Olmo, Sebastián Ventura
2013	J	`jnl`	Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data. Expert Syst. J. Knowl. Eng. Cristóbal Romero, Amelia Zafra, José María Luna, Sebastián Ventura
2013	J	`jnl`	DRAL: a tool for discovering relevant e-activities for learners. Knowl. Inf. Syst. Amelia Zafra, Cristóbal Romero, Sebastián Ventura
2013	J	`jnl`	Data mining in education. WIREs Data Mining Knowl. Discov. Cristóbal Romero, Sebastián Ventura
2013	B	`conf`	Discovering Subgroups by Means of Genetic Programming. EuroGP José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
2013	J	`jnl`	Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data. Appl. Intell. Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Sebastián Ventura
2013	J	`jnl`	Predicting students' final performance from participation in on-line discussion forums. Comput. Educ. Cristóbal Romero, Manuel Ignacio López, José María Luna, Sebastián Ventura
2013	J	`jnl`	Web usage mining for predicting final marks of students that use Moodle courses. Comput. Appl. Eng. Educ. Cristóbal Romero, Pedro G. Espejo, Amelia Zafra, José Raúl Romero, Sebastián Ventura
2012	C	`conf`	A genetic programming free-parameter algorithm for mining association rules. ISDA José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
2012	B	`conf`	Classification via clustering for predicting final marks starting from the student participation in Forums. EDM Manuel Ignacio López, Cristóbal Romero, Sebastián Ventura, José María Luna
2012	B	`conf`	Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets. EDM María De Mar Molina, Cristóbal Romero, Sebastián Ventura, José María Luna
2012	J	`jnl`	Predicción del Fracaso Escolar Mediante Técnicas de Minería de Datos. Rev. Iberoam. de Tecnol. del Aprendiz. Carlos Márquez-Vera, Cristóbal Romero, Sebastián Ventura Soto
2011	C	`ed.`	11th International Conference on Intelligent Systems Design and Applications, ISDA 2011, Córdoba, Spain, November 22-24, 2011 ISDA Sebastián Ventura, Ajith Abraham, Krzysztof J. Cios, Cristóbal Romero, Francesco Marcelloni, José Manuel Benítez, Eva Lucrecia Gibaja Galindo
2011	B	`conf`	A Java Desktop Tool for Mining Moodle Data. EDM Rafael Pedraza Perez, Cristóbal Romero, Sebastián Ventura
2011	J	`jnl`	A collaborative educational association rule mining tool. Internet High. Educ. Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro
2011	C	`conf`	A similarity-based approach to enhance learning objects management systems. ISDA Víctor Hugo Menéndez-Domínguez, Alfredo Zapata, Manuel E. Prieto, Cristóbal Romero, Jesús Serrano-Guerrero
2011	J	`jnl`	Multiple instance learning for classifying students in learning management systems. Expert Syst. Appl. Amelia Zafra, Cristóbal Romero, Sebastián Ventura
2011	B	`conf`	Predicting School Failure Using Data Mining. EDM Carlos Márquez-Vera, Cristóbal Romero, Sebastián Ventura
2011	J	`jnl`	Preface to the special issue on data mining for personalised educational systems. User Model. User Adapt. Interact. Cristóbal Romero, Sebastián Ventura
2011	B	`ed.`	Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011 EDM Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper
2011	J	`jnl`	RM-Tool: A framework for discovering and evaluating association rules. Adv. Eng. Softw. Cristóbal Romero, José María Luna, José Raúl Romero, Sebastián Ventura
2011	B	`conf`	Using Data Mining in a Recommender System to Search for Learning Objects in Repositories. EDM Alfredo Zapata Gonzalez, Víctor Hugo Menéndez-Domínguez, Manuel E. Prieto, Cristóbal Romero
2010	B	`conf`	Class Association Rules Mining from Students' Test Data. EDM Cristóbal Romero, Sebastián Ventura, Ekaterina Vasilyeva, Mykola Pechenizkiy
2010	J	`jnl`	Educational Data Mining: A Review of the State of the Art. IEEE Trans. Syst. Man Cybern. Part C Cristóbal Romero, Sebastián Ventura
2010	B	`conf`	Mining Rare Association Rules from e-Learning Data. EDM Cristóbal Romero, José Raúl Romero, José María Luna, Sebastián Ventura
2009	J	`jnl`	An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering. User Model. User Adapt. Interact. Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro
2009	J	`jnl`	Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems. Comput. Educ. Cristóbal Romero, Sebastián Ventura, Amelia Zafra, Paul De Bra
2009	B	`conf`	Collaborative Data Mining Tool for Education. EDM Cristóbal Romero, Sebastián Ventura, Enrique García, Carlos de Castro, Miguel Gea
2009	B	`ed.`	Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining. EDM Tiffany Barnes, Michel C. Desmarais, Cristóbal Romero, Sebastián Ventura
2009	A	`conf`	Evaluating Web Based Instructional Models Using Association Rule Mining. UMAP Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro
2009	J	`jnl`	Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Syst. Appl. Cristóbal Romero, Pedro González, Sebastián Ventura, María José del Jesus, Francisco Herrera
2009	J	`jnl`	KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. Jesús Alcalá-Fdez, Luciano Sánchez, Salvador García, María José del Jesus, Sebastián Ventura, Josep Maria Garrell i Guiu, José Otero, Cristóbal Romero, Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández, Francisco Herrera
2009	J	`jnl`	Multi-instance genetic programming for web index recommendation. Expert Syst. Appl. Amelia Zafra, Cristóbal Romero, Sebastián Ventura, Enrique Herrera-Viedma
2009	C	`conf`	Predicting Academic Achievement Using Multiple Instance Genetic Programming. ISDA Amelia Zafra, Cristóbal Romero, Sebastián Ventura
2009	J	`jnl`	Using mobile and web-based computerized tests to evaluate university students. Comput. Appl. Eng. Educ. Cristóbal Romero, Sebastián Ventura, Paul De Bra
2008	B	`conf`	Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. EDM Sebastián Ventura, Cristóbal Romero, César Hervás
2008	B	`conf`	Data Mining Algorithms to Classify Students. EDM Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo, César Hervás
2008	J	`jnl`	Data mining in course management systems: Moodle case study and tutorial. Comput. Educ. Cristóbal Romero, Sebastián Ventura, Enrique García
2008	J	`jnl`	JCLEC: a Java framework for evolutionary computation. Soft Comput. Sebastián Ventura, Cristóbal Romero, Amelia Zafra, José Antonio Delgado, César Hervás
2008	B	`conf`	Mining and Visualizing Visited Trails in Web-Based Educational Systems. EDM Cristóbal Romero, Sergio Gutiérrez Santos, Manuel Freire, Sebastián Ventura
2008	J	`jnl`	Sistema recomendador colaborativo usando minería de datos distribuida para la mejora continua de cursos e-learning. Rev. Iberoam. de Tecnol. del Aprendiz. Enrique García Salcines, Cristóbal Romero, Sebastián Ventura, Carlos de-Castro-Lozano
2007	J	`jnl`	Educational data mining: A survey from 1995 to 2005. Expert Syst. Appl. Cristóbal Romero, Sebastián Ventura
2007	—	`conf`	Evolutionary Combining of Basis Function Neural Networks for Classification. IWINAC (1) César Hervás, Francisco José Martínez, Mariano Carbonero-Ruz, Cristóbal Romero, Juan Carlos Fernández
2007	Misc	`conf`	Multiple Instance Learning with Genetic Programming for Web Mining. IWANN Amelia Zafra, Sebastián Ventura, Enrique Herrera-Viedma, Cristóbal Romero
2007	B	`conf`	Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems. EC-TEL Cristóbal Romero, Sebastián Ventura, José Antonio Delgado, Paul De Bra
2006	—	`conf`	An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests. AH Cristóbal Romero, Sebastián Ventura, César Hervás-Martínez, Paul De Bra
2006	J	`jnl`	Selection of Logical Operators for Inducing Comprehensible Knowledge. Inteligencia Artif. Pedro G. Espejo, César Hervás, Sebastián Ventura, Cristóbal Romero
2006	C	`conf`	Using Rules Discovery for the Continuous Improvement of e-Learning Courses. IDEAL Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro
2006	J	`jnl`	Web-based adaptive training simulator system for cardiac life support. Artif. Intell. Medicine Cristóbal Romero, Sebastián Ventura, Eva Lucrecia Gibaja Galindo, César Hervás-Martínez, Francisco Romero Morales
2004	J	`jnl`	Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors. User Model. User Adapt. Interact. Cristóbal Romero, Sebastián Ventura, Paul De Bra
2003	—	`conf`	Discovering Prediction Rules in AHA! Courses. User Modeling Cristóbal Romero, Sebastián Ventura, Paul De Bra, Carlos de Castro