Discovering Prediction Rules in AHA! Courses. - Cristóbal Romero 001; Sebastián Ventura; Paul De Bra; Carlos de Castro (User Modeling, 2003)

Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors. - Cristóbal Romero 001; Sebastián Ventura; Paul De Bra (User Model. User Adapt. Interact., 2004)

An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests. - Cristóbal Romero 001; Sebastián Ventura; César Hervás-Martínez; Paul De Bra (AH, 2006)

Using Rules Discovery for the Continuous Improvement of e-Learning Courses. - Enrique García; Cristóbal Romero 001; Sebastián Ventura; Carlos de Castro (IDEAL, 2006)

Selection of Logical Operators for Inducing Comprehensible Knowledge. - Pedro G. Espejo; César Hervás; Sebastián Ventura; Cristóbal Romero 001 (Inteligencia Artif., 2006)

Web-based adaptive training simulator system for cardiac life support. - Cristóbal Romero 001; Sebastián Ventura; Eva Lucrecia Gibaja Galindo; César Hervás-Martínez; Francisco Romero Morales (Artif. Intell. Medicine, 2006)

Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems. - Cristóbal Romero 001; Sebastián Ventura; Jose Antonio Delgado; Paul De Bra (EC-TEL, 2007)

Multiple Instance Learning with Genetic Programming for Web Mining. - Amelia Zafra; Sebastián Ventura; Enrique Herrera-Viedma; Cristóbal Romero 001 (IWANN, 2007)

Evolutionary Combining of Basis Function Neural Networks for Classification. - César Hervás; Francisco José Martínez; Mariano Carbonero-Ruz; Cristóbal Romero 001; Juan Carlos Fernández 001 (IWINAC (1), 2007)

Educational data mining: A survey from 1995 to 2005. - Cristóbal Romero 001; Sebastián Ventura (Expert Syst. Appl., 2007)

Mining and Visualizing Visited Trails in Web-Based Educational Systems. - Cristóbal Romero 001; Sergio Gutiérrez Santos; Manuel Freire 001; Sebastián Ventura (EDM, 2008)

Data Mining Algorithms to Classify Students. - Cristóbal Romero 001; Sebastián Ventura; Pedro G. Espejo; César Hervás (EDM, 2008)

Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. - Sebastián Ventura; Cristóbal Romero 001; César Hervás (EDM, 2008)

Data mining in course management systems: Moodle case study and tutorial. - Cristóbal Romero 001; Sebastián Ventura; Enrique García (Comput. Educ., 2008)

Sistema recomendador colaborativo usando minería de datos distribuida para la mejora continua de cursos e-learning. - Enrique García Salcines; Cristóbal Romero 001; Sebastián Ventura; Carlos de-Castro-Lozano (Rev. Iberoam. de Tecnol. del Aprendiz., 2008)

JCLEC: a Java framework for evolutionary computation. - Sebastián Ventura; Cristóbal Romero 001; Amelia Zafra; Jose Antonio Delgado; César Hervás (Soft Comput., 2008)

Collaborative Data Mining Tool for Education. - Cristóbal Romero 001; Sebastián Ventura; Enrique García; Carlos de Castro; Miguel Gea (EDM, 2009)

Predicting Academic Achievement Using Multiple Instance Genetic Programming. - Amelia Zafra; Cristóbal Romero 001; Sebastián Ventura (ISDA, 2009)

Evaluating Web Based Instructional Models Using Association Rule Mining. - Enrique García; Cristóbal Romero 001; Sebastián Ventura; Carlos de Castro (UMAP, 2009)

Using mobile and web-based computerized tests to evaluate university students. - Cristóbal Romero 001; Sebastián Ventura; Paul De Bra (Comput. Appl. Eng. Educ., 2009)

Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems. - Cristóbal Romero 001; Sebastián Ventura; Amelia Zafra; Paul De Bra (Comput. Educ., 2009)

Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. - Cristóbal Romero 001; Pedro González 001; Sebastián Ventura; María José del Jesus; Francisco Herrera (Expert Syst. Appl., 2009)

Multi-instance genetic programming for web index recommendation. - Amelia Zafra; Cristóbal Romero 001; Sebastián Ventura; Enrique Herrera-Viedma (Expert Syst. Appl., 2009)

KEEL: a software tool to assess evolutionary algorithms for data mining problems. - Jesús Alcalá-Fdez; Luciano Sánchez; Salvador García 001; María José del Jesus; Sebastián Ventura; Josep Maria Garrell i Guiu; José Otero; Cristóbal Romero 001; Jaume Bacardit; Víctor M. Rivas; Juan Carlos Fernández 001; Francisco Herrera (Soft Comput., 2009)

An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering. - Enrique García; Cristóbal Romero 001; Sebastián Ventura; Carlos de Castro (User Model. User Adapt. Interact., 2009)

Mining Rare Association Rules from e-Learning Data. - Cristóbal Romero 001; José Raúl Romero; José María Luna; Sebastián Ventura (EDM, 2010)

Class Association Rules Mining from Students' Test Data. - Cristóbal Romero 001; Sebastián Ventura; Ekaterina Vasilyeva; Mykola Pechenizkiy (EDM, 2010)

Educational Data Mining: A Review of the State of the Art. - Cristóbal Romero 001; Sebastián Ventura (IEEE Trans. Syst. Man Cybern. Part C, 2010)

Using Data Mining in a Recommender System to Search for Learning Objects in Repositories. - Alfredo Zapata Gonzalez; Víctor Hugo Menéndez-Domínguez; Manuel E. Prieto; Cristóbal Romero 001 (EDM, 2011)

Predicting School Failure Using Data Mining. - Carlos Márquez-Vera; Cristóbal Romero 001; Sebastián Ventura (EDM, 2011)

A Java Desktop Tool for Mining Moodle Data. - Rafael Pedraza Perez; Cristóbal Romero 001; Sebastián Ventura (EDM, 2011)

A similarity-based approach to enhance learning objects management systems. - Víctor Hugo Menéndez-Domínguez; Alfredo Zapata; Manuel E. Prieto; Cristóbal Romero 001; Jesús Serrano-Guerrero (ISDA, 2011)

RM-Tool: A framework for discovering and evaluating association rules. - Cristóbal Romero 001; José María Luna; José Raúl Romero; Sebastián Ventura (Adv. Eng. Softw., 2011)

Multiple instance learning for classifying students in learning management systems. - Amelia Zafra; Cristóbal Romero 001; Sebastián Ventura (Expert Syst. Appl., 2011)

A collaborative educational association rule mining tool. - Enrique García; Cristóbal Romero 001; Sebastián Ventura; Carlos de Castro (Internet High. Educ., 2011)

Preface to the special issue on data mining for personalised educational systems. - Cristóbal Romero 001; Sebastián Ventura (User Model. User Adapt. Interact., 2011)

Classification via clustering for predicting final marks starting from the student participation in Forums. - Manuel Ignacio López; Cristóbal Romero 001; Sebastián Ventura; José María Luna (EDM, 2012)

Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets. - María De Mar Molina; Cristóbal Romero 001; Sebastián Ventura; José María Luna (EDM, 2012)

A genetic programming free-parameter algorithm for mining association rules. - José María Luna; José Raúl Romero; Cristóbal Romero 001; Sebastián Ventura (ISDA, 2012)

Predicción del Fracaso Escolar Mediante Técnicas de Minería de Datos. - Carlos Márquez-Vera; Cristóbal Romero 001; Sebastián Ventura Soto (Rev. Iberoam. de Tecnol. del Aprendiz., 2012)

A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data. - Cristóbal Romero 001; Cristobal Castro; Sebastián Ventura (EDM, 2013)

A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets. - Cristóbal Romero 001; Juan Luis Olmo; Sebastián Ventura (EDM, 2013)

Discovering Subgroups by Means of Genetic Programming. - José María Luna; José Raúl Romero; Cristóbal Romero 001; Sebastián Ventura (EuroGP, 2013)

A framework for recommendation in learning object repositories: An example of application in civil engineering. - Alfredo Zapata; Víctor H. Menéndez; Manuel E. Prieto; Cristóbal Romero 001 (Adv. Eng. Softw., 2013)

Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data. - Carlos Márquez-Vera; Alberto Cano 001; Cristóbal Romero 001; Sebastián Ventura (Appl. Intell., 2013)

Web usage mining for predicting final marks of students that use Moodle courses. - Cristóbal Romero 001; Pedro G. Espejo; Amelia Zafra; José Raúl Romero; Sebastián Ventura (Comput. Appl. Eng. Educ., 2013)

Predicting students' final performance from participation in on-line discussion forums. - Cristóbal Romero 001; Manuel Ignacio López; José María Luna; Sebastián Ventura (Comput. Educ., 2013)

Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data. - Cristóbal Romero 001; Amelia Zafra; José María Luna; Sebastián Ventura (Expert Syst. J. Knowl. Eng., 2013)

Predicting School Failure and Dropout by Using Data Mining Techniques. - Carlos Márquez-Vera; Cristóbal Romero Morales; Sebastián Ventura Soto (Rev. Iberoam. de Tecnol. del Aprendiz., 2013)

DRAL: a tool for discovering relevant e-activities for learners. - Amelia Zafra; Cristóbal Romero 001; Sebastián Ventura (Knowl. Inf. Syst., 2013)

Data mining in education. - Cristóbal Romero 001; Sebastián Ventura (WIREs Data Mining Knowl. Discov., 2013)

Accepting or Rejecting Students_ Self-grading in their Final Marks by using Data Mining. - Javier Fuentes; Cristóbal Romero 001; Carlos García-Martínez; Sebastián Ventura (EDM, 2014)

Clustering for improving educational process mining. - Alejandro Bogarín; Cristóbal Romero 001; Rebeca Cerezo; Miguel Sánchez-Santillán (LAK, 2014)

Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm. - José María Luna; José Raúl Romero; Cristóbal Romero 001; Sebastián Ventura (Integr. Comput. Aided Eng., 2014)

Foreword: Intelligent data analysis. - Sebastián Ventura; Cristóbal Romero 001; Ajith Abraham (J. Comput. Syst. Sci., 2014)

On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery. - José María Luna; José Raúl Romero; Cristóbal Romero 001; Sebastián Ventura (IEEE Trans. Cybern., 2014)

Discovering Students' Navigation Paths in Moodle. - Alejandro Bogarín; Cristóbal Romero 001; Rebeca Cerezo (EDM, 2015)

Discovering clues to avoid middle school failure at early stages. - Manuel Ángel Jiménez-Gómez; José María Luna; Cristóbal Romero 001; Sebastián Ventura (LAK, 2015)

An evolutionary algorithm for the discovery of rare class association rules in learning management systems. - José María Luna; Cristóbal Romero 001; José Raúl Romero; Sebastián Ventura (Appl. Intell., 2015)

Recommender systems in social and online learning environments. - Tiffany Ya Tang; Ben K. Daniel; Cristóbal Romero 001 (Expert Syst. J. Knowl. Eng., 2015)

Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets. - Juan Luis Olmo; Cristóbal Romero 001; Eva Gibaja; Sebastián Ventura (Int. J. Comput. Intell. Syst., 2015)

Evaluation and selection of group recommendation strategies for collaborative searching of learning objects. - Alfredo Zapata; Víctor H. Menéndez; Manuel E. Prieto; Cristóbal Romero 001 (Int. J. Hum. Comput. Stud., 2015)

J. A. Larusson, B. White (eds): Learning Analytics: From Research to Practice. - Cristóbal Romero 001; Sebastián Ventura (Technol. Knowl. Learn., 2015)

Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs. - Alfredo Zapata Gonzalez; Víctor H. Menéndez; Cristóbal Romero 001; Manuel Emilio Prieto Méndez (EDM, 2016)

Using Android Wear for Avoiding Procrastination Behaviours in MOOCs. - Cristóbal Romero 001; Rebeca Cerezo; Jose Antonio Espino; Manuel Bermúdez 001 (L@S, 2016)

Early dropout prediction using data mining: a case study with high school students. - Carlos Márquez-Vera; Alberto Cano 001; Cristóbal Romero 001; Amin Y. Noaman; Habib M. Fardoun; Sebastián Ventura (Expert Syst. J. Knowl. Eng., 2016)

Editorial: A Message from the Editorial Team and an Introduction to the January-March 2016 Issue. - Peter Brusilovsky; Mike Sharples; Gustavo R. Alves; Tiffany Barnes; Sherry Y. Chen; Carol H. C. Chu; Hendrik Drachsler; Seiji Isotani; Euan Lindsay; Xavier Ochoa 001; Mykola Pechenizkiy; Ma. Mercedes T. Rodrigo; et al. (IEEE Trans. Learn. Technol., 2016)

Towards Automatic Classification of Learning Objects: Reducing the Number of Used Features. - Cristóbal Romero 001; Pedro G. Espejo; Eva Gibaja; Alfredo Zapata Gonzalez; Víctor H. Menéndez (EDM, 2017)

MDM tool: A data mining framework integrated into Moodle. - José María Luna; Cristobal Castro; Cristóbal Romero 001 (Comput. Appl. Eng. Educ., 2017)

Educational data science in massive open online courses. - Cristóbal Romero 001; Sebastián Ventura (WIREs Data Mining Knowl. Discov., 2017)

A Hybrid Multi-Criteria approach using a Genetic Algorithm for Recommending Courses to University Students. - Aurora Esteban; Amelia Zafra; Cristóbal Romero 001 (EDM, 2018)

A survey on educational process mining. - Alejandro Bogarín; Rebeca Cerezo; Cristóbal Romero 001 (WIREs Data Mining Knowl. Discov., 2018)

Predicting academic performance of university students from multi-sources data in blended learning. - Wilson Chango; Rebeca Cerezo; Cristóbal Romero 001 (DATA, 2019)

A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children. - Rebeca Cerezo; Vicente Calderón; Cristóbal Romero 001 (Int. J. Hum. Comput. Stud., 2019)

Improving essay peer grading accuracy in massive open online courses using personalized weights from student's engagement and performance. - Carlos García-Martínez; Rebeca Cerezo; Manuel Bermúdez 001; Cristóbal Romero 001 (J. Comput. Assist. Learn., 2019)

Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information. - Pedro G. Espejo; Eva Gibaja; Víctor H. Menéndez; Alfredo Zapata; Cristóbal Romero 001 (J. Univers. Comput. Sci., 2019)

Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance. - Cristóbal Romero 001; Sebastián Ventura (IEEE Trans. Learn. Technol., 2019)

Text mining in education. - Rafael Ferreira Leite de Mello; Maverick Andre Dionisio Ferreira; Anderson Pinheiro Cavalcanti; Evandro Costa; Cristóbal Romero 001 (WIREs Data Mining Knowl. Discov., 2019)

Predicting students' performance using emotion detection from face-recording video when interacting with an ITS. - Wilson Chango; Miguel Sánchez-Santillán; Rebeca Cerezo; Cristóbal Romero 001 (EDM, 2020)

Process mining for self-regulated learning assessment in e-learning. - Rebeca Cerezo; Alejandro Bogarín; María Esteban; Cristóbal Romero 001 (J. Comput. High. Educ., 2020)

Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization. - Aurora Esteban; Amelia Zafra; Cristóbal Romero 001 (Knowl. Based Syst., 2020)

Educational data mining and learning analytics: An updated survey. - Cristóbal Romero 001; Sebastián Ventura (WIREs Data Mining Knowl. Discov., 2020)

Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses. - Wilson Chango; Rebeca Cerezo; Cristóbal Romero 001 (Comput. Electr. Eng., 2021)

Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources. - Wilson Chango; Rebeca Cerezo; Miguel Sánchez-Santillán; Roger Azevedo; Cristóbal Romero 001 (J. Comput. High. Educ., 2021)

Educational Data Mining and Learning Analytics. - Cristóbal Romero Morales (CSEDU (1), 2022)

Looking for the best data fusion model in Smart Learning Environments for detecting at risk university students. - Cristóbal Romero 001; Wilson Chango; Rebeca Cerezo (EDM, 2022)

Subgroup discovery in MOOCs: a big data application for describing different types of learners. - José María Luna; Habib M. Fardoun; Francisco Padillo; Cristóbal Romero 001; Sebastián Ventura (Interact. Learn. Environ., 2022)

Improving the portability of predicting students' performance models by using ontologies. - Javier López-Zambrano; Juan Alfonso Lara; Cristóbal Romero 001 (J. Comput. High. Educ., 2022)

Correction to: Improving the portability of predicting students' performance models by using ontologies. - Javier López-Zambrano; Juan Alfonso Lara; Cristóbal Romero 001 (J. Comput. High. Educ., 2022)

Modeling and predicting students' engagement behaviors using mixture Markov models. - Rabia Maqsood; Paolo Ceravolo; Cristóbal Romero 001; Sebastián Ventura (Knowl. Inf. Syst., 2022)

A review on data fusion in multimodal learning analytics and educational data mining. - Wilson Chango; Juan Alfonso Lara; Rebeca Cerezo; Cristóbal Romero 001 (WIREs Data Mining Knowl. Discov., 2022)

Selecting the Best Approach for Predicting Student Dropout in Full Online Private Higher Education. - Jose Manuel Porras; Antonio Porras; José Alberto Fernández; Cristóbal Romero 001; Sebastián Ventura (LASI Spain, 2023)

A Case-Study Comparison of Machine Learning Approaches for Predicting Student's Dropout from Multiple Online Educational Entities. - Jose Manuel Porras; Juan Alfonso Lara; Cristóbal Romero 001; Sebastián Ventura (Algorithms, 2023)

Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence. - Pamela Buñay-Guisñan; Juan Alfonso Lara; Alberto Cano 001; Rebeca Cerezo; Cristóbal Romero 001 (EDM, 2024)

Reviewing the differences between learning analytics and educational data mining: Towards educational data science. - Rebeca Cerezo; Juan Alfonso Lara; Roger Azevedo; Cristóbal Romero 001 (Comput. Hum. Behav., 2024)

Text mining in education. - Rafael Ferreira Mello; Máverick André; Anderson Pinheiro; Evandro Costa; Cristóbal Romero 001 (CoRR, 2024)

Improving essay peer grading accuracy in MOOCs using personalized weights from student's engagement and performance. - Carlos García-Martínez; Rebeca Cerezo; Manuel Bermúdez 001; Cristóbal Romero 001 (CoRR, 2024)