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ORCIDCristóbal Romero 0001
Cristóbal Romero Morales
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- affiliation: University of Córdoba, Spain
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2020 – today
- 2024
[j57]Rebeca Cerezo
, Juan Alfonso Lara, Roger Azevedo, Cristóbal Romero:
Reviewing the differences between learning analytics and educational data mining: Towards educational data science. Comput. Hum. Behav. 154: 108155 (2024)- [c38]Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristóbal Romero:
Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence. EDM 2024 - [i2]Rafael Ferreira Mello, Máverick André, Anderson Pinheiro, Evandro Costa, Cristóbal Romero:
Text mining in education. CoRR abs/2403.00769 (2024) - [i1]Javier López-Zambrano, Juan Alfonso Lara, Cristóbal Romero:
Improving the portability of predicting students performance models by using ontologies. CoRR abs/2410.07358 (2024) - 2023
- [j56]Jose Manuel Porras, Juan Alfonso Lara, Cristóbal Romero, Sebastián Ventura:
A Case-Study Comparison of Machine Learning Approaches for Predicting Student's Dropout from Multiple Online Educational Entities. Algorithms 16(12): 554 (2023) - [c37]Jose Manuel Porras, Antonio Porras, José Alberto Fernández, Cristóbal Romero, Sebastián Ventura:
Selecting the Best Approach for Predicting Student Dropout in Full Online Private Higher Education. LASI Spain 2023 - 2022
- [j55]José María Luna, Habib M. Fardoun, Francisco Padillo, Cristóbal Romero, Sebastián Ventura:
Subgroup discovery in MOOCs: a big data application for describing different types of learners. Interact. Learn. Environ. 30(1): 127-145 (2022) - [j54]Javier López-Zambrano, Juan Alfonso Lara, Cristóbal Romero:
Improving the portability of predicting students' performance models by using ontologies. J. Comput. High. Educ. 34(1): 1-19 (2022) - [j53]Javier López-Zambrano, Juan Alfonso Lara, Cristóbal Romero:
Correction to: Improving the portability of predicting students' performance models by using ontologies. J. Comput. High. Educ. 34(1): 20 (2022) - [j52]Rabia Maqsood, Paolo Ceravolo, Cristóbal Romero, Sebastián Ventura:
Modeling and predicting students' engagement behaviors using mixture Markov models. Knowl. Inf. Syst. 64(5): 1349-1384 (2022) - [j51]Wilson Chango, Juan Alfonso Lara, Rebeca Cerezo, Cristóbal Romero:
A review on data fusion in multimodal learning analytics and educational data mining. WIREs Data Mining Knowl. Discov. 12(4) (2022) - [c36]Cristóbal Romero Morales:
Educational Data Mining and Learning Analytics. CSEDU (1) 2022: 11 - [c35]Cristóbal Romero, Wilson Chango, Rebeca Cerezo:
Looking for the best data fusion model in Smart Learning Environments for detecting at risk university students. EDM 2022 - 2021
- [j50]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: 106908 (2021) - [j49]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): 614-634 (2021) - 2020
- [j48]Rebeca Cerezo, Alejandro Bogarín, María Esteban, Cristóbal Romero:
Process mining for self-regulated learning assessment in e-learning. J. Comput. High. Educ. 32(1): 74-88 (2020) - [j47]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: 105385 (2020) - [j46]Cristóbal Romero, Sebastián Ventura:
Educational data mining and learning analytics: An updated survey. WIREs Data Mining Knowl. Discov. 10(3) (2020) - [c34]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 - [e6]Luc Paquette, Cristóbal Romero:
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. CEUR Workshop Proceedings 2592, CEUR-WS.org 2020 [contents] - [e5]Anna N. Rafferty, Jacob Whitehill, Cristóbal Romero, Violetta Cavalli-Sforza:
Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020, Fully virtual conference, July 10-13, 2020. International Educational Data Mining Society 2020, ISBN 978-1-7336736-1-7 [contents]
2010 – 2019
- 2019
- [j45]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: 13-25 (2019) - [j44]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): 110-120 (2019) - [j43]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): 1687-1716 (2019) - [j42]Cristóbal Romero, Sebastián Ventura:
Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance. IEEE Trans. Learn. Technol. 12(2): 145-147 (2019) - [j41]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) - [c33]Wilson Chango, Rebeca Cerezo, Cristóbal Romero:
Predicting academic performance of university students from multi-sources data in blended learning. DATA 2019: 3:1-3:5 - 2018
- [j40]Alejandro Bogarín, Rebeca Cerezo, Cristóbal Romero:
A survey on educational process mining. WIREs Data Mining Knowl. Discov. 8(1) (2018) - [c32]Aurora Esteban, Amelia Zafra, Cristóbal Romero:
A Hybrid Multi-Criteria approach using a Genetic Algorithm for Recommending Courses to University Students. EDM 2018 - 2017
- [j39]José María Luna, Cristobal Castro, Cristóbal Romero:
MDM tool: A data mining framework integrated into Moodle. Comput. Appl. Eng. Educ. 25(1): 90-102 (2017) - [j38]Cristóbal Romero, Sebastián Ventura:
Educational data science in massive open online courses. WIREs Data Mining Knowl. Discov. 7(1) (2017) - [c31]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 - 2016
- [j37]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): 107-124 (2016) - [j36]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): 1-4 (2016) - [c30]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: 656-657 - [c29]Cristóbal Romero, Rebeca Cerezo, Jose Antonio Espino, Manuel Bermúdez:
Using Android Wear for Avoiding Procrastination Behaviours in MOOCs. L@S 2016: 193-196 - 2015
- [j35]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): 501-513 (2015) - [j34]Tiffany Ya Tang, Ben K. Daniel, Cristóbal Romero:
Recommender systems in social and online learning environments. Expert Syst. J. Knowl. Eng. 32(2): 261-263 (2015) - [j33]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): 1144-1164 (2015) - [j32]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: 22-39 (2015) - [j31]Cristóbal Romero, Sebastián Ventura:
J. A. Larusson, B. White (eds): Learning Analytics: From Research to Practice. Technol. Knowl. Learn. 20(3): 357-360 (2015) - [c28]Alejandro Bogarín, Cristóbal Romero, Rebeca Cerezo:
Discovering Students' Navigation Paths in Moodle. EDM 2015: 556-557 - [c27]Manuel Ángel Jiménez-Gómez, José María Luna, Cristóbal Romero, Sebastián Ventura:
Discovering clues to avoid middle school failure at early stages. LAK 2015: 300-304 - [e4]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:
Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015. International Educational Data Mining Society (IEDMS) 2015, ISBN 978-8-4606-9425-0 [contents] - 2014
- [j30]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): 321-337 (2014) - [j29]Sebastián Ventura, Cristóbal Romero, Ajith Abraham:
Foreword: Intelligent data analysis. J. Comput. Syst. Sci. 80(1): 1-2 (2014) - [j28]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): 2329-2341 (2014) - [c26]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: 327-328 - [c25]Alejandro Bogarín, Cristóbal Romero, Rebeca Cerezo, Miguel Sánchez-Santillán:
Clustering for improving educational process mining. LAK 2014: 11-15 - 2013
- [j27]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: 1-14 (2013) - [j26]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): 315-330 (2013) - [j25]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): 135-146 (2013) - [j24]Cristóbal Romero, Manuel Ignacio López, José María Luna, Sebastián Ventura:
Predicting students' final performance from participation in on-line discussion forums. Comput. Educ. 68: 458-472 (2013) - [j23]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): 162-172 (2013) - [j22]Carlos Márquez-Vera, Cristóbal Romero Morales, Sebastián Ventura Soto:
Predicting School Failure and Dropout by Using Data Mining Techniques. Rev. Iberoam. de Tecnol. del Aprendiz. 8(1): 7-14 (2013) - [j21]Amelia Zafra, Cristóbal Romero, Sebastián Ventura:
DRAL: a tool for discovering relevant e-activities for learners. Knowl. Inf. Syst. 36(1): 211-250 (2013) - [j20]Cristóbal Romero, Sebastián Ventura:
Data mining in education. WIREs Data Mining Knowl. Discov. 3(1): 12-27 (2013) - [c24]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: 268-271 - [c23]Cristóbal Romero, Cristobal Castro, Sebastián Ventura:
A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data. EDM 2013: 400-401 - [c22]José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura:
Discovering Subgroups by Means of Genetic Programming. EuroGP 2013: 121-132 - 2012
- [j19]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): 109-117 (2012) - [c21]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: 148-151 - [c20]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: 180-183 - [c19]José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura:
A genetic programming free-parameter algorithm for mining association rules. ISDA 2012: 64-69 - 2011
- [j18]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): 566-576 (2011) - [j17]Amelia Zafra, Cristóbal Romero, Sebastián Ventura:
Multiple instance learning for classifying students in learning management systems. Expert Syst. Appl. 38(12): 15020-15031 (2011) - [j16]Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro:
A collaborative educational association rule mining tool. Internet High. Educ. 14(2): 77-88 (2011) - [j15]Cristóbal Romero, Sebastián Ventura:
Preface to the special issue on data mining for personalised educational systems. User Model. User Adapt. Interact. 21(1-2): 1-3 (2011) - [c18]Carlos Márquez-Vera, Cristóbal Romero, Sebastián Ventura:
Predicting School Failure Using Data Mining. EDM 2011: 271-276 - [c17]Rafael Pedraza Perez, Cristóbal Romero, Sebastián Ventura:
A Java Desktop Tool for Mining Moodle Data. EDM 2011: 319-320 - [c16]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: 321-322 - [c15]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: 996-1001 - [e3]Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper:
Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011. www.educationaldatamining.org 2011, ISBN 978-90-386-2537-9 [contents] - [e2]Sebastián Ventura, Ajith Abraham, Krzysztof J. Cios, Cristóbal Romero, Francesco Marcelloni, José Manuel Benítez, Eva Lucrecia Gibaja Galindo:
11th International Conference on Intelligent Systems Design and Applications, ISDA 2011, Córdoba, Spain, November 22-24, 2011. IEEE 2011, ISBN 978-1-4577-1676-8 [contents] - 2010
- [j14]Cristóbal Romero, Sebastián Ventura:
Educational Data Mining: A Review of the State of the Art. IEEE Trans. Syst. Man Cybern. Part C 40(6): 601-618 (2010) - [c14]Cristóbal Romero, José Raúl Romero, José María Luna, Sebastián Ventura:
Mining Rare Association Rules from e-Learning Data. EDM 2010: 171-180 - [c13]Cristóbal Romero, Sebastián Ventura, Ekaterina Vasilyeva, Mykola Pechenizkiy:
Class Association Rules Mining from Students' Test Data. EDM 2010: 317-318
2000 – 2009
- 2009
- [j13]Cristóbal Romero, Sebastián Ventura, Paul De Bra:
Using mobile and web-based computerized tests to evaluate university students. Comput. Appl. Eng. Educ. 17(4): 435-447 (2009) - [j12]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): 828-840 (2009) - [j11]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): 1632-1644 (2009) - [j10]Amelia Zafra, Cristóbal Romero, Sebastián Ventura, Enrique Herrera-Viedma:
Multi-instance genetic programming for web index recommendation. Expert Syst. Appl. 36(9): 11470-11479 (2009) - [j9]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): 307-318 (2009) - [j8]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): 99-132 (2009) - [c12]Cristóbal Romero, Sebastián Ventura, Enrique García, Carlos de Castro, Miguel Gea:
Collaborative Data Mining Tool for Education. EDM 2009: 299-308 - [c11]Amelia Zafra, Cristóbal Romero, Sebastián Ventura:
Predicting Academic Achievement Using Multiple Instance Genetic Programming. ISDA 2009: 1120-1125 - [c10]Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro:
Evaluating Web Based Instructional Models Using Association Rule Mining. UMAP 2009: 16-29 - [e1]Tiffany Barnes, Michel C. Desmarais, Cristóbal Romero, Sebastián Ventura:
Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining. www.educationaldatamining.org 2009, ISBN 978-84-613-2308-1 [contents] - 2008
- [j7]Cristóbal Romero, Sebastián Ventura, Enrique García:
Data mining in course management systems: Moodle case study and tutorial. Comput. Educ. 51(1): 368-384 (2008) - [j6]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): 19-30 (2008) - [j5]Sebastián Ventura, Cristóbal Romero, Amelia Zafra, Jose Antonio Delgado, César Hervás:
JCLEC: a Java framework for evolutionary computation. Soft Comput. 12(4): 381-392 (2008) - [c9]Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo, César Hervás:
Data Mining Algorithms to Classify Students. EDM 2008: 8-17 - [c8]Sebastián Ventura, Cristóbal Romero, César Hervás:
Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. EDM 2008: 177-181 - [c7]Cristóbal Romero, Sergio Gutiérrez Santos, Manuel Freire, Sebastián Ventura:
Mining and Visualizing Visited Trails in Web-Based Educational Systems. EDM 2008: 182-186 - 2007
- [j4]Cristóbal Romero, Sebastián Ventura:
Educational data mining: A survey from 1995 to 2005. Expert Syst. Appl. 33(1): 135-146 (2007) - [c6]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: 292-306 - [c5]Amelia Zafra, Sebastián Ventura, Enrique Herrera-Viedma, Cristóbal Romero:
Multiple Instance Learning with Genetic Programming for Web Mining. IWANN 2007: 919-927 - [c4]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: 447-456 - 2006
- [j3]Pedro G. Espejo, César Hervás, Sebastián Ventura, Cristóbal Romero:
Selection of Logical Operators for Inducing Comprehensible Knowledge. Inteligencia Artif. 10(29): 19-30 (2006) - [j2]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): 67-78 (2006) - [c3]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: 203-212 - [c2]Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro:
Using Rules Discovery for the Continuous Improvement of e-Learning Courses. IDEAL 2006: 887-895 - 2004
- [j1]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): 425-464 (2004) - 2003
- [c1]Cristóbal Romero, Sebastián Ventura, Paul De Bra, Carlos de Castro:
Discovering Prediction Rules in AHA! Courses. User Modeling 2003: 25-34
Coauthor Index
Sebastián Ventura
aka: Sebastián Ventura Soto
aka: Sebastián Ventura Soto
[j56] [c37] [j55] [j52] [j46] [j42] [j38] [j37] [j35] [j33] [j31] [c27] [e4] [j30] [j29] [j28] [c26] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [c24] [c23] [c22] [j19] [c21] [c20] [c19] [j18] [j17] [j16] [j15] [c18] [c17] [e3] [e2] [j14] [c14] [c13] [j13] [j12] [j11] [j10] [j9] [j8] [c12] [c11] [c10] [e1] [j7] [j6] [j5] [c9] [c8] [c7] [j4] [c6] [c5] [j3] [j2] [c3] [c2] [j1] [c1]
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