| 2024 | GECCO | Towards an Improved Understanding of Features for More Interpretable Landscape Analysis. | Marcus Gallagher, Mario A. Muoz |
| 2024 | GECCO | Extending Instance Space Analysis to Algorithm Configuration Spaces. | Anthony Rasulo, Kate Smith-Miles, Mario A. Muoz, Julia Handl, Manuel Lpez-Ibez |
| 2020 | CEC | Instance Space Analysis of Combinatorial Multi-objective Optimization Problems. | Estefania Yap, Mario A. Muoz, Kate Smith-Miles, Arnaud Liefooghe |
| 2019 | SDM | Instance Space Analysis for Unsupervised Outlier Detection. | Sevvandi Kandanaarachchi, Mario A. Muoz, Kate Smith-Miles |
| 2017 | GECCO | Non-parametric model of the space of continuous black-box optimization problems. | Mario A. Muoz, Kate Smith-Miles |
| 2017 | GECCO | Generating custom classification datasets by targeting the instance space. | Mario A. Muoz, Kate Smith-Miles |
| 2016 | CEC | ICARUS: Identification of complementary algorithms by uncovered sets. | Mario A. Muoz, Michael Kirley |
| 2015 | CEC | Effects of function translation and dimensionality reduction on landscape analysis. | Mario A. Muoz, Kate Smith-Miles |
| 2012 | CEC | Landscape characterization of numerical optimization problems using biased scattered data. | Mario A. Muoz, Michael Kirley, Saman K. Halgamuge |
| 2012 | PPSN | A Meta-learning Prediction Model of Algorithm Performance for Continuous Optimization Problems. | Mario A. Muoz, Michael Kirley, Saman K. Halgamuge |
| 2010 | CEC | Simplifying the Bacteria Foraging Optimization Algorithm. | Mario A. Muoz, Saman K. Halgamuge, Wilfredo Alfonso, Eduardo Caicedo |