| 2025 | IDEAL | Explainable Multi-fault Predictive Maintenance Through Analysis of Wrong Predictions. | Aurora Esteban, Aurora Ramrez, Carlos Garca-Martnez, Amelia Zafra |
| 2025 | IDEAL | Taxonomy and Evaluation of XAI Tools for Explainable Machine Learning. | Paola Montenegro-Cantos, Aurora Ramrez, Carlos Garca-Martnez, Jos Ral Romero |
| 2022 | CEC | Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package. | Jos A. Delgado-Osuna, Carlos Garca-Martnez, Sebastin Ventura |
| 2019 | CBMS | Obtaining Tractable and Interpretable Descriptions for Cases with Complications from a Colorectal Cancer Database. | Jos Antonio Delgado-Osuna, Carlos Garca-Martnez, Sebastin Ventura, Jose Gmez Barbadillo |
| 2017 | CEC | Multi-view semi-supervised learning using genetic programming interpretable classification rules. | Carlos Garca-Martnez, Sebastin Ventura |
| 2017 | IWANN | An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning. | Francisco Javier Maestre-Garca, Carlos Garca-Martnez, Mara Prez-Ortiz, Pedro Antonio Gutirrez |
| 2016 | CEC | 100 Million dimensions large-scale global optimization using distributed GPU computing. | Alberto Cano, Carlos Garca-Martnez |
| 2014 | EDM | Accepting or Rejecting Students_ Self-grading in their Final Marks by using Data Mining. | Javier Fuentes, Cristbal Romero, Carlos Garca-Martnez, Sebastin Ventura |
| 2014 | HAIS | Classification Rule Mining with Iterated Greedy. | Juan A. Pedraza, Carlos Garca-Martnez, Alberto Cano, Sebastin Ventura |
| 2012 | PPSN | An Artificial Bee Colony Algorithm for the Unrelated Parallel Machines Scheduling Problem. | Francisco J. Rodrguez, Carlos Garca-Martnez, Christian Blum, Manuel Lozano |
| 2011 | ISDA | Analysing the significance of no free lunch theorems on the set of real-world binary problems. | Carlos Garca-Martnez, Francisco J. Rodrguez, Manuel Lozano |
| 2010 | CEC | A GA-based multiple simulated annealing. | Francisco Javier Rodriguez-Diaz, Carlos Garca-Martnez, Manuel Lozano |
| 2010 | GECCO | P system model optimisation by means of evolutionary based search algorithms. | Carlos Garca-Martnez, Claudio Lima, Jamie Twycross, Natalio Krasnogor, Manuel Lozano |
| 2010 | GECCO | Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology. | Pawel Widera, Jaume Bacardit, Natalio Krasnogor, Carlos Garca-Martnez, Manuel Lozano |
| 2009 | CEC | Simulated annealing based on local genetic search. | Carlos Garca-Martnez, Manuel Lozano |
| 2009 | GECCO | A continuous variable neighbourhood search based on specialised EAs: application to the noiseless BBO-benchmark 2009. | Carlos Garca-Martnez, Manuel Lozano |
| 2009 | GECCO | A continuous variable neighbourhood search based on specialised eas: application to the noisy BBO-benchmark 2009 testbed. | Carlos Garca-Martnez, Manuel Lozano |
| 2009 | ISDA | Continuous Variable Neighbourhood Search Algorithm Based on Evolutionary Metaheuristic Components: A Scalability Test. | Carlos Garca-Martnez, Manuel Lozano |
| 2006 | PPSN | A Local Genetic Algorithm for Binary-Coded Problems. | Carlos Garca-Martnez, Manuel Lozano, Daniel Molina |
| 2005 | CEC | Hybrid real-coded genetic algorithms with female and male differentiation. | Carlos Garca-Martnez, Manuel Lozano |