| Web usage mining for predicting final marks of students that use Moodle courses C Romero, PG Espejo, A Zafra, JR Romero, S Ventura Computer Applications in Engineering Education 21 (1), 135-146, 2013 | 429 | 2013 |
| Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems C Romero, S Ventura, A Zafra, P De Bra Computers & Education 53 (3), 828-840, 2009 | 257 | 2009 |
| JCLEC: a Java framework for evolutionary computation S Ventura, C Romero, A Zafra, JA Delgado, C Hervás Soft computing 12, 381-392, 2008 | 247 | 2008 |
| Multiple instance learning F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, ... Multiple instance learning: foundations and algorithms, 17-33, 2016 | 146 | 2016 |
| Weighted data gravitation classification for standard and imbalanced data A Cano, A Zafra, S Ventura IEEE transactions on cybernetics 43 (6), 1672-1687, 2013 | 127 | 2013 |
| An interpretable classification rule mining algorithm A Cano, A Zafra, S Ventura Information Sciences 240, 1-20, 2013 | 104 | 2013 |
| Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization A Esteban, A Zafra, C Romero Knowledge-Based Systems 194, 105385, 2020 | 103 | 2020 |
| Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming. A Zafra, S Ventura International working group on educational data mining, 2009 | 97 | 2009 |
| Association rule mining using genetic programming to provide feedback to instructors from multiple‐choice quiz data C Romero, A Zafra, JM Luna, S Ventura Expert Systems 30 (2), 162-172, 2013 | 94 | 2013 |
| Multiple instance learning for classifying students in learning management systems A Zafra, C Romero, S Ventura Expert Systems with Applications 38 (12), 15020-15031, 2011 | 85 | 2011 |
| Speeding up the evaluation phase of GP classification algorithms on GPUs A Cano, A Zafra, S Ventura Soft Computing 16, 187-202, 2012 | 77 | 2012 |
| Multi-instance genetic programming for predicting student performance in web based educational environments A Zafra, SN Ventura Applied Soft Computing 12 (8), 2693-2706, 2012 | 58 | 2012 |
| ReliefF-MI: An extension of ReliefF to multiple instance learning A Zafra, M Pechenizkiy, S Ventura Neurocomputing 75 (1), 210-218, 2012 | 44 | 2012 |
| G3P-MI: A genetic programming algorithm for multiple instance learning A Zafra, S Ventura Information sciences 180 (23), 4496-4513, 2010 | 39 | 2010 |
| Multi-instance genetic programming for web index recommendation A Zafra, C Romero, S Ventura, E Herrera-Viedma Expert Systems with Applications 36 (9), 11470-11479, 2009 | 39 | 2009 |
| Multiple instance learning with multiple objective genetic programming for web mining A Zafra, EL Gibaja, S Ventura Applied Soft Computing 11 (1), 93-102, 2011 | 38 | 2011 |
| Data mining in predictive maintenance systems: A taxonomy and systematic review A Esteban, A Zafra, S Ventura Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12 (5 …, 2022 | 36 | 2022 |
| Speeding up multiple instance learning classification rules on GPUs A Cano, A Zafra, S Ventura Knowledge and information systems 44 (1), 127-145, 2015 | 34 | 2015 |
| A classification module for genetic programming algorithms in JCLEC. A Cano, JM Luna, A Zafra, S Ventura J. Mach. Learn. Res. 16 (1), 491-494, 2015 | 34 | 2015 |
| A Hybrid Multi-Criteria Approach Using a Genetic Algorithm for Recommending Courses to University Students. A Esteban, A Zafra, C Romero International educational data mining society, 2018 | 32 | 2018 |
