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 | 420 | 2013 |
A survey on pre-processing educational data C Romero, JR Romero, S Ventura Educational data mining: applications and trends, 29-64, 2014 | 153 | 2014 |
Mining rare association rules from e-learning data C Romero, JR Romero, JM Luna, S Ventura Educational Data Mining 2010, 2010 | 133 | 2010 |
Formal and Tool Support for Model Driven Engineering with Maude. JR Romero, JE Rivera, F Durán, A Vallecillo J. Object Technol. 6 (9), 187-207, 2007 | 111 | 2007 |
Evolutionary composition of QoS-aware web services: a many-objective perspective A Ramírez, JA Parejo, JR Romero, S Segura, A Ruiz-Cortés Expert Systems with Applications 72, 357-370, 2017 | 94 | 2017 |
A survey of many-objective optimisation in search-based software engineering A Ramirez, JR Romero, S Ventura Journal of Systems and Software 149, 382-395, 2019 | 93 | 2019 |
Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules JM Luna, JR Romero, S Ventura Knowledge and Information Systems 32, 53-76, 2012 | 89 | 2012 |
An overview of model-driven web engineering and the MDA N Moreno, JR Romero, A Vallecillo Web Engineering: Modelling and Implementing Web Applications, 353-382, 2008 | 71 | 2008 |
A systematic review of interaction in search-based software engineering A Ramirez, JR Romero, CL Simons IEEE Transactions on Software Engineering 45 (8), 760-781, 2018 | 69 | 2018 |
An evolutionary algorithm for the discovery of rare class association rules in learning management systems JM Luna, C Romero, JR Romero, S Ventura Applied Intelligence 42, 501-513, 2015 | 68 | 2015 |
Realizing correspondences in multi-viewpoint specifications JR Romero, JI Jaén, A Vallecillo 2009 IEEE International Enterprise Distributed Object Computing Conference …, 2009 | 67 | 2009 |
On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery JM Luna, JR Romero, C Romero, S Ventura IEEE Transactions on Cybernetics 4412 (12), 2329-2341, 2014 | 61 | 2014 |
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm JM Luna, JR Romero, C Romero, S Ventura Integrated Computer-Aided Engineering 21 (4), 321-337, 2014 | 51 | 2014 |
Change management in multi-viewpoint system using asp R Eramo, A Pierantonio, JR Romero, A Vallecillo 2008 12th Enterprise Distributed Object Computing Conference Workshops, 433-440, 2008 | 45 | 2008 |
Using ant programming guided by grammar for building rule-based classifiers JL Olmo, JR Romero, S Ventura IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011 | 44 | 2011 |
Grammar-based multi-objective algorithms for mining association rules JM Luna, JR Romero, S Ventura Data & Knowledge Engineering 86, 19-37, 2013 | 42 | 2013 |
Interactive multi-objective evolutionary optimization of software architectures A Ramirez, JR Romero, S Ventura Information Sciences 463, 92-109, 2018 | 40 | 2018 |
RM-Tool: A framework for discovering and evaluating association rules C Romero, JM Luna, JR Romero, S Ventura Advances in Engineering Software 42 (8), 566-576, 2011 | 37 | 2011 |
Mining association rules with single and multi-objective grammar guided ant programming JL Olmo, JM Luna, JR Romero, S Ventura Integrated Computer-Aided Engineering 20 (3), 217-234, 2013 | 34 | 2013 |
Artificial intelligence to automate the systematic review of scientific literature J de la Torre-López, A Ramírez, JR Romero Computing 105 (10), 2171-2194, 2023 | 33 | 2023 |