Cristobal Romero Morales
Contact
cromero@ToBAQ0GNuco.es
Organization
UCOElsevier - SCOPUS Highly Cited Researcher 2020 - CV -
| Total | From 2019: | |
|---|---|---|
| Citas | Total: 20574 | From 2019: 9461 |
| Índice H | Total: 51 | From 2019: 38 |
| Índice i10 | Total: 102 | From 2019: 71 |
Papers (181)
| Title | Authors | Year |
|---|---|---|
| Reviewing the differences between learning analytics and educational data mining: Towards educational data science | R Cerezo, JA Lara, R Azevedo, C Romero. | 2024 |
| Selección de la mejor aproximación para la predicción del abandono en enseñanza superior en línea | JM Porras, A Porras, JA Fernández, C Romero, S Ventura. | 2023 |
| Selecting the Best Approach for Predicting Student Dropout in Full Online Private Higher Education | JM Porras, A Porras, JA Fernández, C Romero, S Ventura. | 2023 |
| A Case-Study Comparison of Machine Learning Approaches for Predicting Student’s Dropout from Multiple Online Educational Entities | JM Porras, JA Lara, C Romero, S Ventura. | 2023 |
| Modeling and predicting students’ engagement behaviors using mixture Markov models | R Maqsood, P Ceravolo, C Romero, S Ventura. | 2022 |
| A review on data fusion in multimodal learning analytics and educational data mining | W Chango, JA Lara, R Cerezo, C Romero. | 2022 |
| Correction to: Improving the portability of predicting students’ performance models by using ontologies | J López-Zambrano, JA Lara, C Romero. | 2022 |
| Looking for the best data fusion model in Smart Learning Environments for detecting at risk university students | RC Wilson Chango, C Romero. | 2022 |
| Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses | W Chango, R Cerezo, C Romero. | 2021 |
| Early prediction of student learning performance through data mining: A systematic review | J López Zambrano, JA Lara Torralbo, C Romero Morales. | 2021 |
| Improving the portability of predicting students’ performance models by using ontologies | J López-Zambrano, JA Lara, C Romero. | 2021 |
| Assignments as Influential Factor to Improve the Prediction of Student Performance in Online Courses | A Esteban, C Romero, A Zafra. | 2021 |
| Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources | W Chango, R Cerezo, M Sanchez-Santillan, R Azevedo, C Romero. | 2021 |
| Towards Portability of Models for Predicting Students’ Final Performance in University Courses Starting from Moodle Logs | J López-Zambrano, JA Lara, C Romero. | 2020 |
| Joint proceedings of the EDM 2019 workshops | L Paquette, C Romero. | 2020 |
| Proceedings of the International Conference on Educational Data Mining (EDM)(13th, Online, July 10-13, 2020). | AN Rafferty, J Whitehill, C Romero, V Cavalli-Sforza. | 2020 |
| Who's Learning? Using Demographics in EDM Research | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Predicting students' performance using emotion detection from face-recording video when interacting with an ITS. | W Chango, M Sánchez-Santillán, R Cerezo, C Romero. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Who's Learning? Using Demographics in EDM Research. | L Paquette, J Ocumpaugh, Z Li, A Andres, R Baker. | 2020 |
| Educational data mining and learning analytics: An updated survey. WIREs Data Mining and Knowledge Discovery, 10 (3) | C Romero, S Ventura. | 2020 |
| Improving essay peer grading accuracy in massive open online courses using personalized weights from student's engagement and performance | C García‐Martínez, R Cerezo, M Bermúdez, C Romero. | 2019 |
| A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children | R Cerezo, V Calderón, C Romero. | 2019 |
| Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance | C Romero, S Ventura. | 2019 |
| Process mining for self-regulated learning assessment in e-learning | R Cerezo, A Bogarín, M Esteban, C Romero. | 2019 |
| Subgroup discovery in MOOCs: a big data application for describing different types of learners | JM Luna, HM Fardoun, F Padillo, C Romero, S Ventura. | 2019 |
| Text mining in education | R Ferreira‐Mello, M André, A Pinheiro, E Costa, C Romero. | 2019 |
| Predicting academic performance of university students from multi-sources data in blended learning | W Chango, R Cerezo, C Romero. | 2019 |
| Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization | A Esteban, A Zafra, C Romero. | 2019 |
| Southern Gulf of Mexico example of depth imaging of full-azimuth OBC seismic data | A Bustos, JC Ruiz, ND Ortiz, S Cruz, A Vazquez, JDL Chagoya, SD García, .... | 2019 |
| Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information | PG Espejo, E Gibaja, VH Menéndez, A Zapata, C Romero. | 2019 |
| Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information. | PG Espejo, E Gibaja, VH Menéndez, A Zapata, C Romero. | 2019 |
| Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration United States of Americage Information | P Espejo, E Gibaja, V Menéndez, A Zapata, C Romero. | 2019 |
| A Hybrid Multi-Criteria Approach Using a Genetic Algorithm for Recommending Courses to University Students. | A Esteban, A Zafra, C Romero. | 2018 |
| A survey on educational process mining | A Bogarín, R Cerezo, C Romero. | 2018 |
| Discovering learning processes using inductive miner: a case study with Learning Management Systems (LMSs) | A Bogarin, R Cerezo, C Romero. | 2018 |
| Relationship between IMC size and blastocyst diameter with euplody | Y Cabello, D Ordonez, C Romero, A Vaquero, P De Castro, NL Velasco, .... | 2018 |
| Análisis del nivel de atención de los alumnos en clase utilizando NeuroSky’s MindWave Mobile | C Romero Morales, L Ariza, J María, A Bogarín Vega, M Luque Rodríguez, .... | 2018 |
| A tool for preprocessing moodle data sets | J López-Zambrano, JA Martinez, J Rojas, C Romero. | 2018 |
| Un Sistema de Recomendación de Asignaturas Multi-Criterio con Optimización Genética | A Esteban, A Zafra, C Romero. | 2018 |
| Educational data science in massive open online courses | C Romero, S Ventura. | 2017 |
| MDM tool: A data mining framework integrated into Moodle | JM Luna, C Castro, C Romero. | 2017 |
| Towards automatic classification of learning objects: Reducing the number of used features | P González, E Gibaja, A Zapata, VH Menéndez, C Romero. | 2017 |
| Early dropout prediction using data mining: a case study with high school students | C Márquez‐Vera, A Cano, C Romero, AYM Noaman, H Mousa Fardoun, .... | 2016 |
| Predicción de la aceptación o rechazo de las calificaciones finales propuestas por el alumnado usando técnicas de Minería de Datos | J Fuentes-Alventosa, C Romero, C García-Martínez, S Ventura. | 2016 |
| Educational process mining: a tutorial and case study using Moodle data sets | C Romero, R Cerezo, A Bogarín, M Sánchez-Santillán. | 2016 |
| Using Android Wear for avoiding procrastination behaviours in MOOCs | C Romero, R Cerezo, JA Espino, M Bermudez. | 2016 |
| Aplicando minería de datos para descubrir rutas de aprendizaje frecuentes en Moodle | AB Vega, CR Morales, RC Menéndez. | 2016 |
| A Message from the Editorial Team and an Introduction to the January-March 2016 Issue | IEEE Transaction on Learning Technologies 9 (1), 1-4, 2016 . | 2016 |
| Predicción de la aceptación o rechazo de las calificaciones finales propuestas por el alumnado usando técnicas de Minería de Datos | J Fuentes-Alventosa, C Romero, C García-Martínez, S Ventura. | 2016 |
| Applying data mining to discover common learning routes in moodle= Aplicando minería de datos para descubrir rutas de aprendizaje frecuentes en Moodle | A Bogarin Vega, C Romero Morales, R Cerezo Menéndez. | 2016 |
| Applying data mining to discover common learning routes in Moodle | A Bogarin Vega, C Romero Morales, R Cerezo Menendez. | 2016 |
| Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets | JL Olmo, C Romero, E Gibaja, S Ventura. | 2015 |
| An evolutionary algorithm for the discovery of rare class association rules in learning management systems | JM Luna, C Romero, JR Romero, S Ventura. | 2015 |
| Evaluation and selection of group recommendation strategies for collaborative searching of learning objects | A Zapata, VH Menéndez, ME Prieto, C Romero. | 2015 |
| Recommender systems in social and online learning environments | TY Tang, BK Daniel, C Romero. | 2015 |
| Automatic Grading of Short Answers for MOOC via Semi-supervised Document Clustering. | S Jing, OC Santos, JG Boticario, C Romero, M Pechenizkiy, A Merceron. | 2015 |
| Discovering clues to avoid middle school failure at early stages | MA Jiménez-Gómez, JM Luna, C Romero, S Ventura. | 2015 |
| JA Larusson, B. White (eds): Learning analytics: From research to practice | C Romero, S Ventura. | 2015 |
| Reply to comment from Blanco et al.(2015) on “Evidence from acoustic imaging for submarine volcanic activity in 2012 off the west coast of El Hierro (Canary Islands, Spain) by … | NM Pérez, L Somoza, PA Hernández, LG de Vallejo, R León, T Sagiya, .... | 2015 |
| Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015 | OC Santos, J Boticario, C Romero, M Pechenizkiy, A Merceron, P Mitros, .... | 2015 |
| Discovering Students' Navigation Paths in Moodle. | A Bogarín, C Romero, R Cerezo. | 2015 |
| 8th International Conference on Educational Data Mining | OC Santos, JG Boticario, C Romero, M Pechenizkiy, A Merceron, P Mitros, .... | 2015 |
| Proceedings of the International Conference on Educational Data Mining (EDM)(8th, Madrid, Spain, June 26-29, 2015). | OC Santos, JG Boticario, C Romero, M Pechenizkiy, A Merceron, P Mitros, .... | 2015 |
| Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets | JL Olmo, C Romero, E Gibaja, S Ventura. | 2015 |
| Larusson, JA, White, B.(eds): Learning Analytics: From Research to Practice | C Romero, S Ventura. | 2015 |
| JA Larusson, B. White (eds): Learning Analytics: From Research to Practice: Springer Science+ Business Media, New York, 2014, DOI: 10.1007/978-1-4614-3305-7 | C Romero, S Ventura. | 2015 |
| Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets. | JL Olmo, C Romero, E Gibaja, S Ventura. | 2015 |
| A classification module for genetic programming algorithms in JCLEC | A Cano, JM Luna, A Zafra, S Ventura Soto. | 2014 |
| Accepting or Rejecting Students' Self-grading in their Final Marks by using Data Mining | J Fuentes, C Romero, CGM Ventura. | 2014 |
| Clustering for improving educational process mining | A Bogarín, C Romero, R Cerezo, M Sánchez-Santillán. | 2014 |
| On the use of genetic programming for mining comprehensible rules in subgroup discovery | JM Luna, JR Romero, C Romero, S Ventura. | 2014 |
| Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm | JM Luna, JR Romero, C Romero, S Ventura. | 2014 |
| A survey on pre-processing educational data | C Romero, JR Romero, S Ventura. | 2014 |
| AN INTRODUCTION TO SCHOOL-BASED ASSESSMENT | C Romero, RSJD Baker. | 2014 |
| A REVIEW OF CLASSROOM ASSESSMENT IN ACTION | C Romero, RSJD Baker. | 2014 |
| Foreword: Intelligent data analysis | S Ventura, C Romero, A Abraham. | 2014 |
| Educational data mining: A systematic review of the published literature 2006-2013 | M Al-Razgan, AS Al-Khalifa, HS Al-Khalifa. | 2014 |
| Web usage mining for predicting final marks of students that use Moodle courses | C Romero, PG Espejo, A Zafra, JR Romero, S Ventura. | 2013 |
| Association rule mining using genetic programming to provide feedback to instructors from multiple‐choice quiz data | C Romero, A Zafra, JM Luna, S Ventura. | 2013 |
| DRAL: a tool for discovering relevant e-activities for learners | A Zafra, C Romero, S Ventura. | 2013 |
| Data mining in education | C Romero, S Ventura. | 2013 |
| Predicting students' final performance from participation in on-line discussion forums | C Romero, MI López, JM Luna, S Ventura. | 2013 |
| Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data | C Márquez-Vera, A Cano, C Romero, S Ventura. | 2013 |
| Predicting school failure and dropout by using data mining techniques | C Márquez-Vera, CR Morales, SV Soto. | 2013 |
| A framework for recommendation in learning object repositories: An example of application in civil engineering | A Zapata, VH Menéndez, ME Prieto, C Romero. | 2013 |
| A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets | C Romero, JL Olmo, S Ventura. | 2013 |
| A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data | C Romero, C Castro, S Ventura. | 2013 |
| Discovering subgroups by means of genetic programming | JM Luna, JR Romero, C Romero, S Ventura. | 2013 |
| Interdisciplinary Reviews: Data Mining and Knowledge Discovery | C Romero, S Ventura, C WILEY. | 2013 |
| Predicción del rendimiento académico en las nuevas titulaciones de grado de la EPS de la Universidad de Córdoba | C Romero, A Zafra, E Gibaja, M Luque, S Ventura. | 2012 |
| Classification via clustering for predicting final marks based on student participation in forums. | MI Lopez, JM Luna, C Romero, S Ventura. | 2012 |
| Meta-Learning Approach for Automatic Parameter Tuning: A Case Study with Educational Datasets. | MM Molina, JM Luna, C Romero, S Ventura. | 2012 |
| A genetic programming free-parameter algorithm for mining association rules | JM Luna, JR Romero, C Romero, S Ventura. | 2012 |
| Búsqueda colaborativa para el apoyo a la recomendación de Objetos de Aprendizaje | A Zapata, VH Menéndez, ME Prieto, C Romero. | 2012 |
| Multiple instance learning for classifying students in learning management systems | A Zafra, C Romero, S Ventura. | 2011 |
| Proceedings of ISDA’11 | S Ventura, A Abraham, K Cios, C Romero, F Marcelloni, J Benítez, .... | 2011 |
| A collaborative educational association rule mining tool | E García, C Romero, S Ventura, C De Castro. | 2011 |
| A Java desktop tool for mining Moodle data | R Pedraza-Perez, C Romero, S Ventura. | 2011 |
| RM-Tool: A framework for discovering and evaluating association rules | C Romero, JM Luna, JR Romero, S Ventura. | 2011 |
| A hybrid recommender method for learning objects | A Zapata, VH Menendez, ME Prieto, C Romero. | 2011 |
| Association rule mining in learning management systems | E García, C Romero, S Ventura, C de Castro, T Calders. | 2011 |
| Basics of statistical analysis of interactions data from web-based learning environments | J Sheard. | 2011 |
| Preface to the special issue on data mining for personalised educational systems | C Romero, S Ventura. | 2011 |
| Using data mining in a recommender system to search for learning objects in repositories | A Zapata-Gonzalez, VH Menendez, ME Prieto-Méndez, C Romero. | 2011 |
| A similarity-based approach to enhance learning objects management systems | VH Menendez-Dominguez, A Zapata, ME Prieto-Mendez, C Romero, .... | 2011 |
| Proceedings of the International Conference on Educational Data Mining (EDM)(4th, Eindhoven, the Netherlands, July 6-8, 2011). | M Pechenizkiy, T Calders, C Conati, S Ventura, C Romero, J Stamper. | 2011 |
| Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011 | M Pechenizkiy, T Calders, C Conati, S Ventura, C Romero, J Stamper. | 2011 |
| EDM 2011: 4th international conference on educational data mining: Eindhoven, July 6-8, 2011: proceedings | M Pechenizkiy, TGK Calders, C Conati, S Ventura, C Romero, J Stamper. | 2011 |
| Educational data mining and learning analytics: An updated survey | C Romero, S Ventura. | 2011 |
| EDM 2011 4 th International Conference on Educational Data Mining | M Pechenizkiy, T Calders, C Conati, S Ventura, C Romero, J Stamper. | 2011 |
| Evolutionary algorithms for subgroup discovery applied to e-learning data | CJ Carmona, P González, MJ del Jesus, C Romero, S Ventura. | 2010 |
| Multi-instance learning versus singleinstance learning for predicting the student’s performance | A Zafra, C Romero, S Ventura. | 2010 |
| Educational data mining: a review of the state of the art | C Romero, S Ventura. | 2010 |
| Handbook of educational data mining | C Romero, S Ventura, M Pechenizkiy, RSJ Baker. | 2010 |
| Mining rare association rules from e-learning data | C Romero, JR Romero, JM Luna, S Ventura. | 2010 |
| Predicting school failure using data mining | C Marquez-Vera, C Romero, S Ventura. | 2010 |
| Measuring correlation of strong symmetric association rules in educational data | A Merceron, K Yacef, C Romero, S Ventura, M Pechenizkiy. | 2010 |
| Sequential pattern analysis of learning logs: Methodology and applications | M Zhou, Y Xu, JC Nesbit, PH Winne. | 2010 |
| Class association rules mining from students' test data | C Romero, S Ventura, E Vasilyeva, M Pechenizkiy. | 2010 |
| Visualization in educational environments | R Mazza. | 2010 |
| Modeling hierarchy and dependence among task responses in educational data mining | B Junker, C Romero, S Ventura, S Viola, M Pechenizkiy, R Baker. | 2010 |
| Chapter 7: Association Rule Mining in Learning Management Systems | E García, C Romero, S Ventura, C Castro, T Calders. | 2010 |
| Process Mining from Educational Data | C Romero, S Ventura, M Pechenizkiy, RSJ Baker. | 2010 |
| Collaborative recommender system using distributed rule mining for improving web-based adaptive courses | E Garcia, C Romero, S Ventura, C Castro. | 2010 |
| Multi-Instance Learning versus Single-Instance Learning for Predicting the Student’s Performance | A Zafra, C Romero, S Ventura. | 2010 |
| ¡ a, C. Romero, S. Ventura, C. Castro, and T. Calders," Chapter 7: Association Rule Mining in Learning Management Systems." | E Garc. | 2010 |
| Handbook of Educational Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) | C Romero, S Ventura, M Pechenizkiy, RSJ Baker. | 2010 |
| Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data | C Romero, P González, S Ventura, MJ Del Jesús, F Herrera. | 2009 |
| Aplicación de algoritmos evolutivos de descubrimiento de subgrupos en e-learning: un caso de estudio analizando cursos de Moodle | C Romero, P González, S Ventura, MJ Del Jesús, F Herrera. | 2009 |
| KEEL: a software tool to assess evolutionary algorithms for data mining problems | J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, .... | 2009 |
| Multi-instance genetic programming for web index recommendation | A Zafra, C Romero, S Ventura, E Herrera-Viedma. | 2009 |
| Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems | C Romero, S Ventura, A Zafra, P De Bra. | 2009 |
| Predicting academic achievement using multiple instance genetic programming | A Zafra, C Romero, S Ventura. | 2009 |
| An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering | E García, C Romero, S Ventura, C De Castro. | 2009 |
| Using mobile and web‐based computerized tests to evaluate university students | C Romero, S Ventura, P De Bra. | 2009 |
| Collaborative Data Mining Tool for Education. | E Garcia, C Romero, S Ventura, M Gea, C De Castro. | 2009 |
| Evaluating web based instructional models using association rule mining | E García, C Romero, S Ventura, C De Castro. | 2009 |
| Proceedings of the International Conference on Educational Data Mining (EDM)(2nd, Cordoba, Spain, July 1-3, 2009). | T Barnes, M Desmarais, C Romero, S Ventura. | 2009 |
| Collaborative Data Mining Tool for Education | C Romero, S Ventura, E García, C de Castro. | 2009 |
| Data mining in course management systems: Moodle case study and tutorial | C Romero, S Ventura, E García. | 2008 |
| Data mining algorithms to classify students | C Romero, S Ventura, PG Espejo, C Hervás. | 2008 |
| Mining and visualizing visited trails in web-based educational systems | C Romero, S Gutiérrez, M Freire, S Ventura. | 2008 |
| Sistema recomendador colaborativo usando minería de datos distribuida para la mejora continua de cursos e-learning. | EG Salcines, C Romero, S Ventura, C de-Castro-Lozano. | 2008 |
| Analyzing rule evaluation measures with educational datasets: A framework to help the teacher | S Ventura, C Romero, C Hervás. | 2008 |
| JCLEC: a Java framework for evolutionary computation | S Ventura, C Romero, A Zafra, JA Delgado, C Hervás. | 2008 |
| Proceedings of the International Workshop on Applying Data Mining in e-Learning (ADML-2007, Sissi, Crete, Greece, September 18, 2007) | C Romero, M Pechenizkiy, TGK Calders, JE Beck, F Van Assche. | 2008 |
| Soft Comput | J Alcalá-fdez, L Sánchez, S García, MJ Jesus, S Ventura, JM Garrell, .... | 2008 |
| Proceedings of the International Workshop on Applying Data Mining in e-Learning | C Romero, M Pechenizkiy, T Calders, SR Viola, F Van Assche. | 2008 |
| Multiple instance learning with genetic programming for web mining | A Zafra, S Ventura, E Herrera-Viedma, C Romero. | 2007 |
| Educational data mining: A survey from 1995 to 2005 | C Romero, S Ventura. | 2007 |
| Personalized links recommendation based on data mining in adaptive educational hypermedia systems | C Romero, S Ventura, JA Delgado, P De Bra. | 2007 |
| Drawbacks and solutions of applying association rule mining in learning management systems | E García, C Romero, S Ventura, T Calders. | 2007 |
| Authoring and management tools for adaptive educational hypermedia systems: The AHA! case study | P De Bra, N Stash, D Smits, C Romero, S Ventura. | 2007 |
| Domótica e inmótica | C Romero Morales, F Vázquez Serrano, C De Castro Lozano. | 2007 |
| Association rule mining in learning management systems: drawbacks and solutions | E Garcia, C Romero, S Ventura, T Calders. | 2007 |
| Evolutionary combining of basis function neural networks for classification | C Hervás, F Martínez, M Carbonero, C Romero, JC Fernández. | 2007 |
| Mining students data to analyze E-Learning behavior: A case study. | KK Mishra, A Tripathi, AK Misra, M Bray, C Heiner, R Bakery, K Yacef, .... | 2007 |
| Proceedings of the International Workshop on Applying Data Mining in e-Learning (ADML-2007) | C Romero, M Pechenizkiy, T Calders, JT Beck, F Van Assche. | 2007 |
| Sistemas de evaluación de los alumnos mediante test informatizados utilizando telefonía móvil | C Gálvez Espinal, S Ventura Soto, C Romero Morales. | 2007 |
| Mining learner profile utilizing association rule for web-based learning diagnosis | E García, C Romero, S Ventura, C de Castro, T Calders. | 2007 |
| E-Learning Process Characterization using data driven approaches | SR Viola. | 2007 |
| Web-based adaptive training simulator system for cardiac life support | C Romero, S Ventura, EL Gibaja, C Hervás, F Romero. | 2006 |
| Data mining in e-learning | C Romero, S Ventura. | 2006 |
| Using rules discovery for the continuous improvement of e-learning courses | E García, C Romero, S Ventura, C de Castro. | 2006 |
| An authoring tool for building both mobile adaptable tests and web-based adaptive or classic tests | C Romero, S Ventura, C Hervás, P De Bra. | 2006 |
| Rule mining with GBGP to improve web-based adaptive educational systems | C Romero, S Ventura, C Hervas, P Gonzalez. | 2006 |
| Usando minería de datos para la continua mejora de cursos de elearning | E García, C Romero, C de Castro, S Ventura. | 2006 |
| Herramienta Autor para la Gestión de Tests Informatizados dentro del Sistema AHA! | C Romero Morales, S Ventura Soto, C Hervás-Martínez, I Ríder, .... | 2006 |
| Selection of Logical Operators for Inducing Comprehensible Knowledge. | PG Espejo, C Hervas, S Ventura, C Romero. | 2006 |
| Elección de Operadores Lógicos para la Inducción de Conocimiento Comprensible | PG Espejo, C Hervás, S Ventura, C Romero. | 2006 |
| Usando minería de datos para la contínua mejora de cursos de e-learning | E García, C Romero, C de Castro, S Ventura. | 2006 |
| Sistema adaptable para la ejecución de tests informatizados en teléfonos móviles | C Romero, JL Córdoba, S Ventura, C Hervás. | 2006 |
| Web mining for self-directed e-learning | P Desikan, C DeLong, K Beemanapalli, A Bose, J Srivastava, C Romero, .... | 2006 |
| Herramienta Autor para la Gestión de Tests Informatizados dentro del Sistema AHA | C Romero, S Ventura, I Rider, S Martin. | 2006 |
| Domótica e inmótica: viviendas y edificios inteligentes | CR Morales, FV Serrano, C de Castro Lozano. | 2005 |
| Induction of classification rules with grammar-based genetic programming | PG Espejo, C Romero, S Ventura, C Hervás. | 2005 |
| Rule Discovery in web-based educational systems using Grammar-Based Genetic Programming | C Romero, S Ventura, C Hervás, P González. | 2005 |
| AHA! MEETS SCORM | C Romero, J Rider, S Ventura, C Hervás, P De Bra. | 2005 |
| Algoritmos evolutivos para descubrimiento de reglas de predicción en la mejora de sistemas educativos adaptativos basados en web | C Romero, S Ventura, C de Castro, E García. | 2005 |
| Programación genética gramatical para el descubrimiento de reglas de clasificación | PG Espejo, C Romero, C Hervás, S Ventura. | 2005 |
| Sistema de consulta de notas a través de Páginas Web y de Telefonía Móvil | D Cava Jiménez, C Romero Morales, C Soto, J Luis, S Ventura Soto. | 2005 |
| Knowledge discovery with genetic programming for providing feedback to courseware authors | C Romero, S Ventura, P De Bra. | 2004 |
| An authoring tool for web-based adaptive and classic tests | C Romero, S Martín-Palomo, P De Bra, S Ventura. | 2004 |
| Herramienta autor INDESAHC para la creación de cursos hipermedia adaptativos | CDC Lozano, EG Salcines, CR Morales, ADC Orbea, SV Soto. | 2004 |
| Descubrimiento de reglas de predicción en sistemas de e-learning utilizando programación genética | C Romero, S Ventura, C Hervás. | 2004 |
| Comparación de medidas de evaluación de reglas de asociación | C Hervás-Martínez, C Romero, S Ventura. | 2004 |
| de Bra, P | C Romero, S Ventura, C Hervás. | 2004 |
| Selección de medidas de evaluación de reglas obtenidas mediante programación genética basada en gramática | C Hervás-Martínez, C Romero, S Ventura. | 2004 |
| BUAP | FM Romero, DH Carrasco. | 2004 |
| Discovering prediction rules in AHA! courses | C Romero, S Ventura, P De Bra, C De Castro. | 2003 |
| Aplicación de algoritmos evolutivos como técnica de minería de datos para la mejora de cursos hipermedia adaptativos basados en Web | CR Morales, SV Soto, C De Castro. | 2003 |
| Aplicación de técnicas de adquisición de conocimiento para la mejora de cursos hipermedia adaptativos basados en web | C ROMERO MORALES. | 2003 |
| Using genetic algorithms for data mining in web-based educational hypermedia systems | C Romero, S Ventura, C De Castro, W Hall, MH Ng. | 2002 |
| Using knowledge levels with AHA! for discovering interesting relationships | C Romero, P De Bra, S Ventura, C De Castro. | 2002 |
| Curso básico de Java 2 | C Romero, E López, C de Castro. | 2002 |
| HAMTUTOR: Author tool to develop adaptive multimedia courses | C de Castro. | 2002 |
| Construcción de cursos hipermedia adaptativos basados en web utilizando AHA | C Romero Morales, S Ventura Soto, C Castro. | 2002 |
| Using knowledge levels with AHA! for discovering interesting relationship | S Ventura, C Romero, P De Bra, C de Castro. | 2002 |
| Adaptation of the e-learning web application “Campus Virtual Teledomedia” to obtain an open and accessible information management system | A de Castro. | 2002 |
| Curso básico de Fortran 90 | SV Soto, JLC Soto, CR Morales. | 2000 |
| UVICO: Universidad Virtual de Córdoba | C Castro, JA Ramos, C Romero Morales, M Garrido. | 2000 |
| Interacción con mundos VRML utilizando Java | C Romero, S Ventura, C Castro. | 2000 |
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