Cristóbal Romero

Publication Activity (10 Years)

Years Active: 2003-2021
Publications (10 Years): 21

Top Topics

Genetic Programming

Massive Open Online Courses

University Students

Top Venues

WIREs Data Mining Knowl. Discov.

Expert Syst. J. Knowl. Eng.

Comput. Appl. Eng. Educ.

Publications

Wilson Chango, Rebeca Cerezo, Miguel Sánchez-Santillán, Roger Azevedo, Cristóbal Romero
Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources. J. Comput. High. Educ. 33 (3) (2021)
Wilson Chango, Rebeca Cerezo, Cristóbal Romero
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses. Comput. Electr. Eng. 89 (2021)
Aurora Esteban, Amelia Zafra, Cristóbal Romero
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization. Knowl. Based Syst. 194 (2020)
Wilson Chango, Miguel Sánchez-Santillán, Rebeca Cerezo, Cristóbal Romero
Predicting students' performance using emotion detection from face-recording video when interacting with an ITS. EDM (2020)
Rebeca Cerezo, Alejandro Bogarín, María Esteban, Cristóbal Romero
Process mining for self-regulated learning assessment in e-learning. J. Comput. High. Educ. 32 (1) (2020)
Cristóbal Romero, Sebastián Ventura
Educational data mining and learning analytics: An updated survey. WIREs Data Mining Knowl. Discov. 10 (3) (2020)
Wilson Chango, Rebeca Cerezo, Cristóbal Romero
Predicting academic performance of university students from multi-sources data in blended learning. DATA (2019)
Rafael Ferreira Leite de Mello, Maverick Andre Dionisio Ferreira, Anderson Pinheiro Cavalcanti, Evandro Costa, Cristóbal Romero
Text mining in education. WIREs Data Mining Knowl. Discov. 9 (6) (2019)
Pedro G. Espejo, Eva Gibaja, Víctor H. Menéndez, Alfredo Zapata, Cristóbal Romero
Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information. J. Univers. Comput. Sci. 25 (13) (2019)
Cristóbal Romero, Sebastián Ventura
Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance. IEEE Trans. Learn. Technol. 12 (2) (2019)
Rebeca Cerezo, Vicente Calderón, Cristóbal Romero
A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children. Int. J. Hum. Comput. Stud. 124 (2019)
Carlos García-Martínez, Rebeca Cerezo, Manuel Bermúdez, Cristóbal Romero
Improving essay peer grading accuracy in massive open online courses using personalized weights from student's engagement and performance. J. Comput. Assist. Learn. 35 (1) (2019)
Alejandro Bogarín, Rebeca Cerezo, Cristóbal Romero
A survey on educational process mining. WIREs Data Mining Knowl. Discov. 8 (1) (2018)
Aurora Esteban, Amelia Zafra, Cristóbal Romero
A Hybrid Multi-Criteria approach using a Genetic Algorithm for Recommending Courses to University Students. EDM (2018)
Cristóbal Romero, Pedro G. Espejo, Eva Gibaja, Alfredo Zapata Gonzalez, Víctor H. Menéndez
Towards Automatic Classification of Learning Objects: Reducing the Number of Used Features. EDM (2017)
Cristóbal Romero, Sebastián Ventura
Educational data science in massive open online courses. WIREs Data Mining Knowl. Discov. 7 (1) (2017)
José María Luna, Cristobal Castro, Cristóbal Romero
MDM tool: A data mining framework integrated into Moodle. Comput. Appl. Eng. Educ. 25 (1) (2017)
Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Amin Y. Noaman, Habib M. Fardoun, Sebastián Ventura
Early dropout prediction using data mining: a case study with high school students. Expert Syst. J. Knowl. Eng. 33 (1) (2016)
Cristóbal Romero, Rebeca Cerezo, Jose Antonio Espino, Manuel Bermúdez
Using Android Wear for Avoiding Procrastination Behaviours in MOOCs. L@S (2016)
Alfredo Zapata Gonzalez, Víctor H. Menéndez, Cristóbal Romero, Manuel Emilio Prieto Méndez
Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs. EDM (2016)
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
Editorial: A Message from the Editorial Team and an Introduction to the January-March 2016 Issue. IEEE Trans. Learn. Technol. 9 (1) (2016)
Cristóbal Romero, Sebastián Ventura
J. A. Larusson, B. White (eds): Learning Analytics: From Research to Practice. Technol. Knowl. Learn. 20 (3) (2015)
José María Luna, Cristóbal Romero, José Raúl Romero, Sebastián Ventura
An evolutionary algorithm for the discovery of rare class association rules in learning management systems. Appl. Intell. 42 (3) (2015)
Alfredo Zapata, Víctor H. Menéndez, Manuel E. Prieto, Cristóbal Romero
Evaluation and selection of group recommendation strategies for collaborative searching of learning objects. Int. J. Hum. Comput. Stud. 76 (2015)
Alejandro Bogarín, Cristóbal Romero, Rebeca Cerezo
Discovering Students' Navigation Paths in Moodle. EDM (2015)
Juan Luis Olmo, Cristóbal Romero, Eva Gibaja, Sebastián Ventura
Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets. Int. J. Comput. Intell. Syst. 8 (6) (2015)
Manuel Ángel Jiménez-Gómez, José María Luna, Cristóbal Romero, Sebastián Ventura
Discovering clues to avoid middle school failure at early stages. LAK (2015)
Tiffany Ya Tang, Ben K. Daniel, Cristóbal Romero
Recommender systems in social and online learning environments. Expert Syst. J. Knowl. Eng. 32 (2) (2015)
Alejandro Bogarín, Cristóbal Romero, Rebeca Cerezo, Miguel Sánchez-Santillán
Clustering for improving educational process mining. LAK (2014)
Javier Fuentes, Cristóbal Romero, Carlos García-Martínez, Sebastián Ventura
Accepting or Rejecting Students_ Self-grading in their Final Marks by using Data Mining. EDM (2014)
Sebastián Ventura, Cristóbal Romero, Ajith Abraham
Foreword: Intelligent data analysis. J. Comput. Syst. Sci. 80 (1) (2014)
José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm. Integr. Comput. Aided Eng. 21 (4) (2014)
José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery. IEEE Trans. Cybern. 44 (12) (2014)
Cristóbal Romero, Sebastián Ventura
Data mining in education. WIREs Data Mining Knowl. Discov. 3 (1) (2013)
Amelia Zafra, Cristóbal Romero, Sebastián Ventura
DRAL: a tool for discovering relevant e-activities for learners. Knowl. Inf. Syst. 36 (1) (2013)
Cristóbal Romero, Amelia Zafra, José María Luna, Sebastián Ventura
Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data. Expert Syst. J. Knowl. Eng. 30 (2) (2013)
José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
Discovering Subgroups by Means of Genetic Programming. EuroGP (2013)
Cristóbal Romero, Manuel Ignacio López, José María Luna, Sebastián Ventura
Predicting students' final performance from participation in on-line discussion forums. Comput. Educ. 68 (2013)
Cristóbal Romero, Juan Luis Olmo, Sebastián Ventura
A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets. EDM (2013)
Cristóbal Romero, Pedro G. Espejo, Amelia Zafra, José Raúl Romero, Sebastián Ventura
Web usage mining for predicting final marks of students that use Moodle courses. Comput. Appl. Eng. Educ. 21 (1) (2013)
Alfredo Zapata, Víctor H. Menéndez, Manuel E. Prieto, Cristóbal Romero
A framework for recommendation in learning object repositories: An example of application in civil engineering. Adv. Eng. Softw. 56 (2013)
Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Sebastián Ventura
Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data. Appl. Intell. 38 (3) (2013)
Cristóbal Romero, Cristobal Castro, Sebastián Ventura
A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data. EDM (2013)
Manuel Ignacio López, Cristóbal Romero, Sebastián Ventura, José María Luna
Classification via clustering for predicting final marks starting from the student participation in Forums. EDM (2012)
Carlos Márquez-Vera, Cristóbal Romero, Sebastián Ventura Soto
Predicción del Fracaso Escolar Mediante Técnicas de Minería de Datos. Rev. Iberoam. de Tecnol. del Aprendiz. 7 (3) (2012)
María De Mar Molina, Cristóbal Romero, Sebastián Ventura, José María Luna
Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets. EDM (2012)
José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
A genetic programming free-parameter algorithm for mining association rules. ISDA (2012)
Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro
A collaborative educational association rule mining tool. Internet High. Educ. 14 (2) (2011)
Cristóbal Romero, Sebastián Ventura
Preface to the special issue on data mining for personalised educational systems. User Model. User Adapt. Interact. 21 (1-2) (2011)
Carlos Márquez-Vera, Cristóbal Romero, Sebastián Ventura
Predicting School Failure Using Data Mining. EDM (2011)
Víctor Hugo Menéndez-Domínguez, Alfredo Zapata, Manuel E. Prieto, Cristóbal Romero, Jesús Serrano-Guerrero
A similarity-based approach to enhance learning objects management systems. ISDA (2011)
Amelia Zafra, Cristóbal Romero, Sebastián Ventura
Multiple instance learning for classifying students in learning management systems. Expert Syst. Appl. 38 (12) (2011)
Alfredo Zapata Gonzalez, Víctor Hugo Menéndez-Domínguez, Manuel E. Prieto, Cristóbal Romero
Using Data Mining in a Recommender System to Search for Learning Objects in Repositories. EDM (2011)
Rafael Pedraza Perez, Cristóbal Romero, Sebastián Ventura
A Java Desktop Tool for Mining Moodle Data. EDM (2011)
Cristóbal Romero, José María Luna, José Raúl Romero, Sebastián Ventura
RM-Tool: A framework for discovering and evaluating association rules. Adv. Eng. Softw. 42 (8) (2011)
Cristóbal Romero, José Raúl Romero, José María Luna, Sebastián Ventura
Mining Rare Association Rules from e-Learning Data. EDM (2010)
Cristóbal Romero, Sebastián Ventura
Educational Data Mining: A Review of the State of the Art. IEEE Trans. Syst. Man Cybern. Part C 40 (6) (2010)
Cristóbal Romero, Sebastián Ventura, Ekaterina Vasilyeva, Mykola Pechenizkiy
Class Association Rules Mining from Students' Test Data. EDM (2010)
Cristóbal Romero, Sebastián Ventura, Amelia Zafra, Paul De Bra
Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems. Comput. Educ. 53 (3) (2009)
Cristóbal Romero, Pedro González, Sebastián Ventura, María José del Jesus, Francisco Herrera
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Syst. Appl. 36 (2) (2009)
Cristóbal Romero, Sebastián Ventura, Paul De Bra
Using mobile and web-based computerized tests to evaluate university students. Comput. Appl. Eng. Educ. 17 (4) (2009)
Cristóbal Romero, Sebastián Ventura, Enrique García, Carlos de Castro, Miguel Gea
Collaborative Data Mining Tool for Education. EDM (2009)
Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro
Evaluating Web Based Instructional Models Using Association Rule Mining. UMAP (2009)
Amelia Zafra, Cristóbal Romero, Sebastián Ventura, Enrique Herrera-Viedma
Multi-instance genetic programming for web index recommendation. Expert Syst. Appl. 36 (9) (2009)
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
KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. 13 (3) (2009)
Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro
An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering. User Model. User Adapt. Interact. 19 (1-2) (2009)
Amelia Zafra, Cristóbal Romero, Sebastián Ventura
Predicting Academic Achievement Using Multiple Instance Genetic Programming. ISDA (2009)
Cristóbal Romero, Sebastián Ventura, Enrique García
Data mining in course management systems: Moodle case study and tutorial. Comput. Educ. 51 (1) (2008)
Sebastián Ventura, Cristóbal Romero, Amelia Zafra, Jose Antonio Delgado, César Hervás
JCLEC: a Java framework for evolutionary computation. Soft Comput. 12 (4) (2008)
Enrique García Salcines, Cristóbal Romero, Sebastián Ventura, Carlos de-Castro-Lozano
Sistema recomendador colaborativo usando minería de datos distribuida para la mejora continua de cursos e-learning. Rev. Iberoam. de Tecnol. del Aprendiz. 3 (1) (2008)
Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo, César Hervás
Data Mining Algorithms to Classify Students. EDM (2008)
Sebastián Ventura, Cristóbal Romero, César Hervás
Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. EDM (2008)
Cristóbal Romero, Sergio Gutiérrez Santos, Manuel Freire, Sebastián Ventura
Mining and Visualizing Visited Trails in Web-Based Educational Systems. EDM (2008)
Cristóbal Romero, Sebastián Ventura
Educational data mining: A survey from 1995 to 2005. Expert Syst. Appl. 33 (1) (2007)
Cristóbal Romero, Sebastián Ventura, Jose Antonio Delgado, Paul De Bra
Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems. EC-TEL (2007)
César Hervás, Francisco José Martínez, Mariano Carbonero-Ruz, Cristóbal Romero, Juan Carlos Fernández
Evolutionary Combining of Basis Function Neural Networks for Classification. IWINAC (1) (2007)
Amelia Zafra, Sebastián Ventura, Enrique Herrera-Viedma, Cristóbal Romero
Multiple Instance Learning with Genetic Programming for Web Mining. IWANN (2007)
Cristóbal Romero, Sebastián Ventura, César Hervás-Martínez, Paul De Bra
An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests. AH (2006)
Cristóbal Romero, Sebastián Ventura, Eva Lucrecia Gibaja Galindo, César Hervás-Martínez, Francisco Romero Morales
Web-based adaptive training simulator system for cardiac life support. Artif. Intell. Medicine 38 (1) (2006)
Pedro G. Espejo, César Hervás, Sebastián Ventura, Cristóbal Romero
Selection of Logical Operators for Inducing Comprehensible Knowledge. Inteligencia Artif. 10 (29) (2006)
Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro
Using Rules Discovery for the Continuous Improvement of e-Learning Courses. IDEAL (2006)
Cristóbal Romero, Sebastián Ventura, Paul De Bra
Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors. User Model. User Adapt. Interact. 14 (5) (2004)
Cristóbal Romero, Sebastián Ventura, Paul De Bra, Carlos de Castro
Discovering Prediction Rules in AHA! Courses. User Modeling (2003)