| 2022 | GECCO | McCall, David Walker: The intersection of evolutionary computation and explainable AI. | Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W |
| 2014 | CEC | A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. | Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador Garca, Francisco Herrera |
| 2013 | CEC | An efficient decision rule-based system for the protein residue-residue contact prediction. | Alfonso E. Mrquez Chamorro, Federico Divina, Jaume Bacardit, Jess S. Aguilar-Ruiz |
| 2013 | GECCO | Large scale data mining using genetics-based machine learning. | Jaume Bacardit, Xavier Llor |
| 2012 | GECCO | Large scale data mining using genetics-based machine learning. | Jaume Bacardit, Xavier Llor |
| 2012 | GECCO | Post-processing operators for decision lists. | Mara A. Franco, Natalio Krasnogor, Jaume Bacardit |
| 2011 | GECCO | Large scale data mining using genetics-based machine learning. | Jaume Bacardit, Xavier Llor |
| 2011 | GECCO | Modelling the initialisation stage of the ALKR representation for discrete domains and GABIL encoding. | Mara A. Franco, Natalio Krasnogor, Jaume Bacardit |
| 2010 | GECCO | Speeding up the evaluation of evolutionary learning systems using GPGPUs. | Mara A. Franco, Natalio Krasnogor, Jaume Bacardit |
| 2010 | GECCO | Analysing bioHEL using challenging boolean functions. | Mara A. Franco, Natalio Krasnogor, Jaume Bacardit |
| 2010 | GECCO | Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology. | Pawel Widera, Jaume Bacardit, Natalio Krasnogor, Carlos Garca-Martnez, Manuel Lozano |
| 2009 | GECCO | A mixed discrete-continuous attribute list representation for large scale classification domains. | Jaume Bacardit, Natalio Krasnogor |
| 2009 | GECCO | Large scale data mining using genetics-based machine learning. | Jaume Bacardit, Xavier Llor |
| 2008 | GECCO | Fast rule representation for continuous attributes in genetics-based machine learning. | Jaume Bacardit, Natalio Krasnogor |
| 2008 | GECCO | Learning classifier systems for optimisation problems: a case study on fractal travelling salesman problem. | Maximiliano Tabacman, Natalio Krasnogor, Jaume Bacardit, Irene Loiseau |
| 2007 | GECCO | Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. | Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llor, Natalio Krasnogor |
| 2006 | GECCO | Smart crossover operator with multiple parents for a Pittsburgh learning classifier system. | Jaume Bacardit, Natalio Krasnogor |
| 2006 | GECCO | Coordination number prediction using learning classifier systems: performance and interpretability. | Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst, Jacek Blazewicz |
| 2005 | GECCO | Analysis of the initialization stage of a Pittsburgh approach learning classifier system. | Jaume Bacardit |
| 2004 | GECCO | Experimental Evaluation of Discretization Schemes for Rule Induction. | Jess S. Aguilar-Ruiz, Jaume Bacardit, Federico Divina |
| 2004 | GECCO | Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation. | Jaume Bacardit, Josep Maria Garrell i Guiu |
| 2004 | PPSN | Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. | Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llor, Josep Maria Garrell i Guiu |
| 2003 | GECCO | Evolving Multiple Discretizations with Adaptive Intervals for a Pittsburgh Rule-Based Learning Classifier System. | Jaume Bacardit, Josep Maria Garrell i Guiu |
| 2002 | GECCO | Evolution Of Adaptive Discretization Intervals For A Rule-based Genetic Learning System. | Jaume Bacardit, Josep Maria Garrell i Guiu |