| 2025 | GECCO | Efficient Path Planning for Maritime Search and Rescue: A Surrogate-Assisted Memetic Algorithm. | Sojung Lee, Pablo Moscato, Yong-Hyuk Kim |
| 2024 | GECCO | Towards Target Derivatives-Enhanced Continued Fraction Regression. | Guillaume Briffoteaux, Andrew Ciezak, Pablo Moscato |
| 2023 | GECCO | Dynamic Depth for Better Generalization in Continued Fraction Regression. | Pablo Moscato, Andrew Ciezak, Nasimul Noman |
| 2023 | GECCO | Approximating the Boundaries of Unstable Nuclei Using Analytic Continued Fractions. | Pablo Moscato, Rafael Bartnik Grebogi |
| 2022 | CEC | Joint Optimization of Topology and Hyperparameters of Hybrid DNNs for Sentence Classification. | Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato |
| 2021 | CEC | Evolutionary Hyperparameter Optimisation for Sentence Classification. | Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato |
| 2020 | CEC | Analytic Continued Fractions for Regression: Results on 352 datasets from the physical sciences. | Pablo Moscato, Haoyuan Sun, Mohammad Nazmul Haque |
| 2020 | SRDS | Anomaly Detection via Mining Numerical Workflow Relations from Logs. | Bo Zhang, Hongyu Zhang, Pablo Moscato, Aozhong Zhang |
| 2019 | CEC | A Memetic Algorithm for Symbolic Regression. | Haoyuan Sun, Pablo Moscato |
| 2019 | CEC | A Computational Approach for Designing Combination Therapy in Combating Glioblastoma. | Terry Truong, Pablo Moscato, Nasimul Noman |
| 2019 | GECCO | A memetic algorithm approach to network alignment: mapping the classification of mental disorders of DSM-IV with ICD-10. | Mohammad Nazmul Haque, Luke Mathieson, Pablo Moscato |
| 2018 | GECCO | Accelerating a multi-objective memetic algorithm for feature selection using hierarchical k-means indexes. | Francia Jimnez, Claudio Sanhueza, Regina Berretta, Pablo Moscato |
| 2018 | GECCO | mQAPViz: a divide-and-conquer multi-objective optimization algorithm to compute large data visualizations. | Claudio Sanhueza, Francia Jimnez, Regina Berretta, Pablo Moscato |
| 2017 | CEC | PasMoQAP: A parallel asynchronous memetic algorithm for solving the Multi-Objective Quadratic Assignment Problem. | Claudio Sanhueza, Francia Jimenez, Regina Berretta, Pablo Moscato |
| 2017 | GECCO | A multi-objective approach for the ( | Francia Jimenez, Claudio Sanhueza, Regina Berretta, Pablo Moscato |
| 2016 | ADMA | Relative Neighborhood Graphs Uncover the Dynamics of Social Media Engagement. | Natalie Jane de Vries, Ahmed Shamsul Arefin, Luke Mathieson, Benjamin Lucas, Pablo Moscato |
| 2016 | CEC | Optimising weights for heterogeneous ensemble of classifiers with differential evolution. | Mohammad Nazmul Haque, Nasimul Noman, Regina Berretta, Pablo Moscato |
| 2015 | AusDM | On Ranking Nodes using kNN Graphs, Shortest-paths and GPUs. | Ahmed Shamsul Arefin, Regina Berretta, Pablo Moscato |
| 2015 | AusDM | FSMEC: A Feature Selection Method based on the Minimum Spanning Tree and Evolutionary Computation. | Amer Abu Zaher, Regina Berretta, Ahmed Shamsul Arefin, Pablo Moscato |
| 2015 | CEC | A Memetic Algorithm for the Quadratic Assignment Problem with parallel local search. | Matthew Harris, Regina Berretta, Mario Inostroza-Ponta, Pablo Moscato |
| 2012 | ICCSA | kNN-Borůvka-GPU: A Fast and Scalable MST Construction from kNN Graphs on GPU. | Ahmed Shamsul Arefin, Carlos Riveros, Regina Berretta, Pablo Moscato |
| 2011 | ICA3PP | Clustering Nodes in Large-Scale Biological Networks Using External Memory Algorithms. | Ahmed Shamsul Arefin, Mario Inostroza-Ponta, Luke Mathieson, Regina Berretta, Pablo Moscato |
| 2008 | CEC | An effective mutation-based measure for evaluating the suitability of parental sequences to undergo DNA shuffling experiments. | Luciana Montera, Maria do Carmo Nicoletti, Flavio Henrique da Silva, Pablo Moscato |
| 2002 | PPSN | Inferring Phylogenetic Trees Using Evolutionary Algorithms. | Carlos Cotta, Pablo Moscato |