| 2024 | ECAI | NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems. | Carlos Nez-Molina, Pablo Mesejo, Juan Fernndez-Olivares |
| 2024 | IJCAI | On Using Admissible Bounds for Learning Forward Search Heuristics. | Carlos Nez-Molina, Masataro Asai, Pablo Mesejo, Juan Fernndez-Olivares |
| 2022 | ECCV | Custom Structure Preservation in Face Aging. | Guillermo Gomez-Trenado, Stphane Lathuilire, Pablo Mesejo, Oscar Cordn |
| 2022 | SAT | On the Performance of Deep Generative Models of Realistic SAT Instances. | Ivn Garzn, Pablo Mesejo, Jess Girldez-Cru |
| 2020 | CEC | A real-coded evolutionary algorithm-based registration approach for forensic identification using the radiographic comparison of frontal sinuses. | scar Gmez, Pablo Mesejo, scar Ibez, Andrea Valsecchi, Oscar Cordn |
| 2020 | ICPR | Learning Visual Voice Activity Detection with an Automatically Annotated Dataset. | Sylvain Guy, Stphane Lathuilire, Pablo Mesejo, Radu Horaud |
| 2019 | ICML | Understanding Priors in Bayesian Neural Networks at the Unit Level. | Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel |
| 2018 | ECCV | DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model. | Stphane Lathuilire, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud |
| 2018 | IROS | Deep Reinforcement Learning for Audio-Visual Gaze Control. | Stphane Lathuilire, Benoit Mass, Pablo Mesejo, Radu Horaud |
| 2017 | CVPR | Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation. | Stphane Lathuilire, Rmi Juge, Pablo Mesejo, Rafael Muoz-Salinas, Radu Horaud |
| 2015 | MICCAI | Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization. | Pablo Mesejo, Sandrine Saillet, Olivier David, Christian G. Bnar, Jan M. Warnking, Florence Forbes |
| 2014 | CEC | Automatic evolutionary medical image segmentation using deformable models. | Andrea Valsecchi, Pablo Mesejo, Linda Marrakchi-Kacem, Stefano Cagnoni, Sergio Damas |
| 2014 | ECCV | An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions. | Toby Collins, Pablo Mesejo, Adrien Bartoli |
| 2013 | EPIA | GPU-Based Automatic Configuration of Differential Evolution: A Case Study. | Roberto Ugolotti, Pablo Mesejo, Youssef S. G. Nashed, Stefano Cagnoni |
| 2013 | GECCO | Segmentation of histological images using a metaheuristic-based level set approach. | Pablo Mesejo, Stefano Cagnoni, Alessandro Costalunga, Davide Valeriani |
| 2013 | GECCO | Algorithm configuration using GPU-based metaheuristics. | Roberto Ugolotti, Youssef S. G. Nashed, Pablo Mesejo, Stefano Cagnoni |
| 2012 | CBMS | Automatic segmentation of hippocampus in histological images of mouse brains using deformable models and random forest. | Pablo Mesejo, Roberto Ugolotti, Stefano Cagnoni, Ferdinando Di Cunto, Mario Giacobini |
| 2012 | GECCO | First results and future developments of the MIBISOC Project in the IBISlab of the university of parma. | Stefano Cagnoni, Oscar Cordn, Pablo Mesejo, Youssef S. G. Nashed, Roberto Ugolotti |
| 2012 | GECCO | libCudaOptimize: an open source library of GPU-based metaheuristics. | Youssef S. G. Nashed, Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni |
| 2012 | PPSN | A Comparative Study of Three GPU-Based Metaheuristics. | Youssef S. G. Nashed, Pablo Mesejo, Roberto Ugolotti, Jrmie Dubois-Lacoste, Stefano Cagnoni |
| 2011 | GECCO | Automatic hippocampus localization in histological images using PSO-based deformable models. | Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni, Mario Giacobini, Ferdinando Di Cunto |