| 2026 | GECCO | Prior-Informed Symbolic Regression for Multiview Scientific Discovery. | Hernan Lira, Luis Mart, Nayat Snchez-Pi |
| 2025 | GECCO | A Hierarchical Multiview Symbolic Regression Method for Decoding Oceanic Metabolism. | Hernan Lira, Luis Mart, Nayat Snchez-Pi |
| 2025 | ICDAR | MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular Applications. | Vishnou Vinayagame, Gregory Senay, Luis Mart |
| 2023 | GECCO | A Multi-Objective Decomposition Optimization Method for Refinery Crude Oil Scheduling through Genetic Programming. | Cristiane Salgado Pereira, Douglas Mota Dias, Luis Mart, Marley M. B. R. Vellasco |
| 2023 | LAK | Predicting Item Response Theory Parameters Using Question Statements Texts. | Wemerson Marinho, Esteban Walter Gonzalez Clua, Luis Mart, Karla Marinho |
| 2022 | GECCO | MOPINNs: an evolutionary multi-objective approach to physics-informed neural networks. | Taco de Wolff, Hugo Carrillo Lincopi, Luis Mart, Nayat Snchez-Pi |
| 2021 | AAAI | Predicting Mining Industry Accidents with a Multitask Learning Approach. | Rodolfo Palma, Luis Mart, Nayat Snchez-Pi |
| 2021 | GECCO | Towards a green AI: evolutionary solutions for an ecologically viable artificial intelligence. | Nayat Snchez-Pi, Luis Mart |
| 2020 | CEC | Extending Collective Intelligence Evolutionary Algorithms: A Facility Location Problem Application. | Daniel Cinalli, Luis Mart, Nayat Snchez-Pi, Ana Cristina Bicharra Garcia |
| 2018 | CEC | Implementation of a RVND, VNS, ILS Heuristic for the Traveling Car Renter Problem. | Rogrio Ferreira de Moraes, Andr Renato Villela da Silva, Luiz Satoru Ochi, Luis Mart |
| 2018 | GECCO | Multiobjective evolutionary polygonal approximation for identifying crude oil reservoirs. | Jos Luis Guerrero, Luis Mart, Nayat Snchez-Pi, Antonio Berlanga, Jos Manuel Molina |
| 2018 | GECCO | Bio-inspired approaches to anomaly and intrusion detection. | Luis Mart, Marc Schoenauer |
| 2018 | GECCO | Crude oil refinery scheduling: addressing a real-world multiobjective problem through genetic programming and dominance-based approaches. | Cristiane Salgado Pereira, Douglas Mota Dias, Marley M. B. R. Vellasco, Francisco Henrique F. Viana, Luis Mart |
| 2018 | HAIS | Applying VorEAl for IoT Intrusion Detection. | Nayat Snchez-Pi, Luis Mart, Jos M. Molina |
| 2018 | IJCNN | A Compact Encoding for Efficient Character-level Deep Text Classification. | Wemerson Marinho, Luis Mart, Nayat Snchez-Pi |
| 2018 | PAAMS | How Machine Learning Could Detect Anomalies on Thinger.io Platform? | Nayat Snchez-Pi, Luis Mart, Alvaro Luis Bustamante, Jos M. Molina |
| 2018 | PPSN | Tutorials at PPSN 2018. | Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Mart, Yi Mei, Juan Julin Merelo Guervs, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang |
| 2017 | GECCO | Progressively adding objectives: a case study in anomaly detection. | Luis Mart, Arsne Fansi Tchango, Laurent Navarro, Marc Schoenauer |
| 2017 | KES | Impact of selection methods on the diversity of many-objective Pareto set approximations. | Luis Mart, Eduardo Segredo, Nayat Snchez-Pi, Emma Hart |
| 2016 | CEC | SMS-EDA-MEC: Extending Copula-based EDAs to multi-objective optimization. | Luis Mart, Harold D. de Mello Jr., Nayat Snchez-Pi, Marley M. B. R. Vellasco |
| 2016 | GECCO | VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System. | Luis Mart, Arsne Fansi Tchango, Laurent Navarro, Marc Schoenauer |
| 2016 | HAIS | Bio-Inspired Algorithms and Preferences for Multi-objective Problems. | Daniel Cinalli, Luis Mart, Nayat Snchez-Pi, Ana Cristina Bicharra Garcia |
| 2016 | HCI | Gamification and Information Fusion for Rehabilitation: An Ambient Assisted Living Case Study. | Javier Jimnez Alemn, Nayat Snchez-Pi, Luis Mart, Jos Manuel Molina, Ana Cristina Bicharra Garcia |
| 2016 | PAAMS | A Data Fusion Model for Ambient Assisted Living. | Javier Jimnez Alemn, Nayat Snchez-Pi, Luis Mart, Jos Manuel Molina, Ana Cristina Bicharra Garcia |
| 2016 | PPSN | Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm. | Luis Mart, Arsne Fansi Tchango, Laurent Navarro, Marc Schoenauer |
| 2015 | GECCO | Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. | Luis Mart, Christian Grimme, Pascal Kerschke, Heike Trautmann, Gnter Rudolph |
| 2015 | HCI | Big Data Visualization for Occupational Health and Security Problem in Oil and Gas Industry. | Daniela Gorski Trevisan, Nayat Snchez-Pi, Luis Mart, Ana Cristina Bicharra Garcia |
| 2015 | SAC | Collective preferences in evolutionary multi-objective optimization: techniques and potential contributions of collective intelligence. | Daniel Cinalli, Luis Mart, Nayat Snchez-Pi, Ana Cristina Bicharra Garcia |
| 2015 | SAC | Ontology definition and cognitive analysis in ocupational health and security (OHS) environments. | Nayat Snchez-Pi, Luis Mart, Jos Manuel Molina, Ana Cristina Bicharra Garcia |
| 2014 | FUSION | An information fusion framework for context-based accidents prevention. | Nayat Snchez-Pi, Luis Mart, Jos Manuel Molina, Ana Cristina Bicharra Garcia |
| 2014 | HAIS | YASA: Yet Another Time Series Segmentation Algorithm for Anomaly Detection in Big Data Problems. | Luis Mart, Nayat Snchez-Pi, Jos Manuel Molina, Ana Cristina Bicharra Garcia |
| 2014 | PAAMS | High-Level Information Fusion for Risk and Accidents Prevention in Pervasive Oil Industry Environments. | Nayat Snchez-Pi, Luis Mart, Jos Manuel Molina, Ana Cristina Bicharra Garcia |
| 2011 | CEC | Indicator-based MONEDA: A comparative study of scalability with respect to decision space dimensions. | Luis Mart, Jess Garca, Antonio Berlanga, Jos M. Molina Lpez |
| 2011 | EMO | A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms. | Tobias Wagner, Heike Trautmann, Luis Mart |
| 2010 | CEC | Introducing a robust and efficient stopping criterion for MOEAs. | Jos Luis Guerrero, Luis Mart, Antonio Berlanga, Jess Garca, Jos M. Molina Lpez |
| 2010 | CEC | A progress indicator for detecting success and failure in evolutionary multi-objective optimization. | Luis Mart, Jess Garca, Antonio Berlanga, Jos M. Molina |
| 2010 | GECCO | Moving away from error-based learning in multi-objective estimation of distribution algorithms. | Luis Mart, Jess Garca, Antonio Berlanga, Jos M. Molina |
| 2009 | GECCO | A stopping criterion based on Kalman estimation techniques with several progress indicators. | Jos Luis Guerrero, Jess Garca, Luis Mart, Jos Manuel Molina, Antonio Berlanga |
| 2009 | GECCO | Solving complex high-dimensional problems with the multi-objective neural estimation of distribution algorithm. | Luis Mart, Jess Garca, Antonio Berlanga, Jos M. Molina |
| 2009 | HAIS | On the Model-Building Issue of Multi-Objective Estimation of Distribution Algorithms. | Luis Mart, Jess Garca, Antonio Berlanga, Jos M. Molina |
| 2008 | CEC | Model-building algorithms for multiobjective EDAs: Directions for improvement. | Luis Mart, Jess Garca, Antonio Berlanga, Jos Manuel Molina |
| 2008 | GECCO | Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm. | Luis Mart, Jess Garca, Antonio Berlanga, Jos Manuel Molina |
| 2007 | GECCO | A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms. | Luis Mart, Jess Garca, Antonio Berlanga, Jos Manuel Molina |
| 2007 | GECCO | A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms. | Luis Mart, Jess Garca, Antonio Berlanga, Jos Manuel Molina |
| 2007 | IJCNN | An Hybrid Neural System based on Adaptive Resonance Theory and Representational Redescription capable of Variable Binding. | Luis Mart |