2D-PAGE Analysis Using Evolutionary Computation. - Pablo Mesejo; Enrique Fernández-Blanco; Diego Martínez-Feijóo; Francisco Blanco (Encyclopedia of Artificial Intelligence, 2009)

Automatic hippocampus localization in histological images using PSO-based deformable models. - Roberto Ugolotti; Pablo Mesejo; Stefano Cagnoni; Mario Giacobini; Ferdinando Di Cunto (GECCO (Companion), 2011)

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 (CBMS, 2012)

First results and future developments of the MIBISOC Project in the IBISlab of the university of parma. - Stefano Cagnoni; Oscar Cordón; Pablo Mesejo; Youssef S. G. Nashed; Roberto Ugolotti (GECCO (Companion), 2012)

libCudaOptimize: an open source library of GPU-based metaheuristics. - Youssef S. G. Nashed; Roberto Ugolotti; Pablo Mesejo; Stefano Cagnoni (GECCO (Companion), 2012)

A Comparative Study of Three GPU-Based Metaheuristics. - Youssef S. G. Nashed; Pablo Mesejo; Roberto Ugolotti; Jérémie Dubois-Lacoste; Stefano Cagnoni (PPSN (2), 2012)

Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics. - Carlos Fernandez-Lozano; José A. Seoane; Pablo Mesejo; Youssef S. G. Nashed; Stefano Cagnoni; Julián Dorado (BIOSTEC (Selected Papers), 2013)

2D-PAGE Texture Classification using Support Vector Machines and Genetic Algorithms - An Hybrid Approach for Texture Image Analysis. - Carlos Fernandez-Lozano; José A. Seoane; Pablo Mesejo; Youssef S. G. Nashed; Stefano Cagnoni; Julián Dorado (BIOINFORMATICS, 2013)

GPU-Based Automatic Configuration of Differential Evolution: A Case Study. - Roberto Ugolotti; Pablo Mesejo; Youssef S. G. Nashed; Stefano Cagnoni (EPIA, 2013)

Segmentation of histological images using a metaheuristic-based level set approach. - Pablo Mesejo; Stefano Cagnoni; Alessandro Costalunga; Davide Valeriani (GECCO (Companion), 2013)

Algorithm configuration using GPU-based metaheuristics. - Roberto Ugolotti; Youssef S. G. Nashed; Pablo Mesejo; Stefano Cagnoni (GECCO (Companion), 2013)

Particle Swarm Optimization and Differential Evolution for model-based object detection. - Roberto Ugolotti; Youssef S. G. Nashed; Pablo Mesejo; Spela Ivekovic; Luca Mussi; Stefano Cagnoni (Appl. Soft Comput., 2013)

Automatic hippocampus localization in histological images using Differential Evolution-based deformable models. - Pablo Mesejo; Roberto Ugolotti; Ferdinando Di Cunto; Mario Giacobini; Stefano Cagnoni (Pattern Recognit. Lett., 2013)

Automatic evolutionary medical image segmentation using deformable models. - Andrea Valsecchi; Pablo Mesejo; Linda Marrakchi-Kacem; Stefano Cagnoni; Sergio Damas (IEEE Congress on Evolutionary Computation, 2014)

An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions. - Toby Collins; Pablo Mesejo; Adrien Bartoli (ECCV (7), 2014)

Automatic Segmentation of Anatomical Structures using Deformable Models and Bio-Inspired/Soft Computing. - Pablo Mesejo (2014)

Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization. - Pablo Mesejo; Sandrine Saillet; Olivier David 001; Christian G. Bénar; Jan M. Warnking; Florence Forbes (MICCAI (2), 2015)

Biomedical image segmentation using geometric deformable models and metaheuristics. - Pablo Mesejo; Andrea Valsecchi; Linda Marrakchi-Kacem; Stefano Cagnoni; Sergio Damas (Comput. Medical Imaging Graph., 2015)

Artificial Neuron-Glia Networks Learning Approach Based on Cooperative Coevolution. - Pablo Mesejo; Óscar Ibáñez; Enrique Fernández-Blanco; Francisco Cedrón; Alejandro Pazos; Ana Porto Pazos (Int. J. Neural Syst., 2015)

A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis. - Pablo Mesejo; Óscar Ibáñez; Oscar Cordón; Stefano Cagnoni (Appl. Soft Comput., 2016)

A Differential Evolution-Based Approach for Fitting a Nonlinear Biophysical Model to fMRI BOLD Data. - Pablo Mesejo; Sandrine Saillet; Olivier David 001; Christian G. Bénar; Jan M. Warnking; Florence Forbes (IEEE J. Sel. Top. Signal Process., 2016)

Computer-Aided Classification of Gastrointestinal Lesions in Regular Colonoscopy. - Pablo Mesejo; Daniel Pizarro 001; Armand Abergel; Olivier Rouquette; Sylvain Béorchia; Laurent Poincloux; Adrien Bartoli (IEEE Trans. Medical Imaging, 2016)

Gastrointestinal Lesions in Regular Colonoscopy. - Pablo Mesejo; Daniel Pizarro 001 (UCI Machine Learning Repository, 2016)

Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation. - Stéphane Lathuilière; Rémi Juge; Pablo Mesejo; Rafael Muñoz-Salinas; Radu Horaud (CVPR, 2017)

Neural Network Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction. - Stéphane Lathuilière; Benoit Massé; Pablo Mesejo; Radu Horaud (CoRR, 2017)

DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model. - Stéphane Lathuilière; Pablo Mesejo; Xavier Alameda-Pineda; Radu Horaud (ECCV (5), 2018)

Deep Reinforcement Learning for Audio-Visual Gaze Control. - Stéphane Lathuilière; Benoit Massé; Pablo Mesejo; Radu Horaud (IROS, 2018)

Bayesian neural networks increasingly sparsify their units with depth. - Mariia Vladimirova; Julyan Arbel; Pablo Mesejo (CoRR, 2018)

Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View. - Benoit Massé; Stéphane Lathuilière; Pablo Mesejo; Radu Horaud (FG, 2019)

Understanding Priors in Bayesian Neural Networks at the Unit Level. - Mariia Vladimirova; Jakob Verbeek; Pablo Mesejo; Julyan Arbel (ICML, 2019)

Neural network based reinforcement learning for audio-visual gaze control in human-robot interaction. - Stéphane Lathuilière; Benoit Massé; Pablo Mesejo; Radu Horaud (Pattern Recognit. Lett., 2019)

A real-coded evolutionary algorithm-based registration approach for forensic identification using the radiographic comparison of frontal sinuses. - Óscar Gómez; Pablo Mesejo; Óscar Ibáñez; Andrea Valsecchi; Oscar Cordón (CEC, 2020)

Learning Visual Voice Activity Detection with an Automatically Annotated Dataset. - Sylvain Guy; Stéphane Lathuilière; Pablo Mesejo; Radu Horaud (ICPR, 2020)

Deep architectures for high-resolution multi-organ chest X-ray image segmentation. - Óscar Gómez; Pablo Mesejo; Óscar Ibáñez; Andrea Valsecchi; Oscar Cordón (Neural Comput. Appl., 2020)

A Comprehensive Analysis of Deep Regression. - Stéphane Lathuilière; Pablo Mesejo; Xavier Alameda-Pineda; Radu Horaud (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Automatic landmark annotation in 3D surface scans of skulls: Methodological proposal and reliability study. - Enrique Bermejo Nievas; Kei Taniguchi; Yoshinori Ogawa; Rubén Martos; Andrea Valsecchi; Pablo Mesejo; Óscar Ibáñez; Kazuhiko Imaizumi (Comput. Methods Programs Biomed., 2021)

Deep architectures for the segmentation of frontal sinuses in X-ray images: Towards an automatic forensic identification system in comparative radiography. - Óscar Gómez; Pablo Mesejo; Óscar Ibáñez; Oscar Cordón (Neurocomputing, 2021)

Custom Structure Preservation in Face Aging. - Guillermo Gomez-Trenado; Stéphane Lathuilière; Pablo Mesejo; Oscar Cordón (ECCV (16), 2022)

On the Performance of Deep Generative Models of Realistic SAT Instances. - Iván Garzón; Pablo Mesejo; Jesús Giráldez-Cru (SAT, 2022)

FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs. - Enrique Bermejo Nievas; Enrique Fernández-Blanco; Andrea Valsecchi; Pablo Mesejo; Óscar Ibáñez; Kazuhiko Imaizumi (Expert Syst. Appl., 2022)

A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges. - Julián Luengo; Raúl Moreno; Iván Sevillano-García; David Charte; Adrián Peláez-Vegas; Marta Fernández-Moreno; Pablo Mesejo; Francisco Herrera (Inf. Fusion, 2022)

A Survey on Semi-Supervised Semantic Segmentation. - Adrián Peláez-Vegas; Pablo Mesejo; Julián Luengo (CoRR, 2023)

Towards a Unified Framework for Sequential Decision Making. - Carlos Núñez-Molina; Pablo Mesejo; Juan Fernández-Olivares (CoRR, 2023)

Exploring the trade-off between performance and annotation complexity in semantic segmentation. - Marta Fernández-Moreno; Bo Lei; Elizabeth A. Holm; Pablo Mesejo; Raúl Moreno (Eng. Appl. Artif. Intell., 2023)

Cascade of convolutional models for few-shot automatic cephalometric landmarks localization. - Guillermo Gomez-Trenado; Pablo Mesejo; Oscar Cordón (Eng. Appl. Artif. Intell., 2023)

Deep reinforcement learning in agent-based simulations for optimal media planning. - Víctor Vargas-Pérez; Pablo Mesejo; Manuel Chica; Oscar Cordón (Inf. Fusion, 2023)

A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. - Ying Bi; Bing Xue 001; Pablo Mesejo; Stefano Cagnoni; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

Employing deep learning for sex estimation of adult individuals using 2D images of the humerus. - Javier Venema; David Peula; Javier Irurita; Pablo Mesejo (Neural Comput. Appl., 2023)

NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems. - Carlos Núñez-Molina; Pablo Mesejo; Juan Fernández-Olivares (ECAI, 2024)

On Using Admissible Bounds for Learning Forward Search Heuristics. - Carlos Núñez-Molina; Masataro Asai; Pablo Mesejo; Juan Fernández-Olivares (IJCAI, 2024)

ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space. - Marilyn Bello; Pablo Costa; Gonzalo Nápoles; Pablo Mesejo; Oscar Cordón (Inf. Fusion, 2024)

Evidence evaluation in craniofacial superimposition using likelihood ratios. - Práxedes Martínez-Moreno; Andrea Valsecchi; Pablo Mesejo; Óscar Ibáñez; Sergio Damas (Inf. Fusion, 2024)

Evolutionary deep learning for computer vision and image processing. - Harith Al-Sahaf; Pablo Mesejo; Ying Bi; Mengjie Zhang 001 (Appl. Soft Comput., 2024)

REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image. - Marilyn Bello; Gonzalo Nápoles; Leonardo Concepción; Rafael Bello 001; Pablo Mesejo; Oscar Cordón (Inf. Sci., 2024)

A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making. - Carlos Núñez-Molina; Pablo Mesejo; Juan Fernández-Olivares (ACM Comput. Surv., 2024)

The level of strength of an explanation: A quantitative evaluation technique for post-hoc XAI methods. - Marilyn Bello; Rosalís Amador; María-Matilde García; Javier Del Ser; Pablo Mesejo; Oscar Cordón (Pattern Recognit., 2025)

A Roadmap to Guide the Integration of LLMs in Hierarchical Planning. - Israel Puerta-Merino; Carlos Núñez-Molina; Pablo Mesejo; Juan Fernández-Olivares (CoRR, 2025)

Unveiling Agents' Confidence in Opinion Dynamics Models via Graph Neural Networks. - Víctor Vargas-Pérez; Jesús Giráldez-Cru; Pablo Mesejo; Oscar Cordón (IEEE Trans. Comput. Soc. Syst., 2025)

Don't Forget Your Inverse DDIM for Image Editing. - Guillermo Gomez-Trenado; Pablo Mesejo; Oscar Cordón; Stéphane Lathuilière (IEEE Comput. Intell. Mag., 2025)