Pablo Mesejo

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 41

Top Venues

CoRR

Inf. Fusion

Eng. Appl. Artif. Intell.

Appl. Soft Comput.

University of Parma, Italy (PHD)

Education History

University of Parma, Italy

PHD

Publications

Marilyn Bello, Gonzalo Nápoles, Leonardo Concepción, Rafael Bello, Pablo Mesejo, Oscar Cordón
REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image. Inf. Sci. 654 (2024)
Práxedes Martínez-Moreno, Andrea Valsecchi, Pablo Mesejo, Óscar Ibáñez, Sergio Damas
Evidence evaluation in craniofacial superimposition using likelihood ratios. Inf. Fusion 111 (2024)
Marilyn Bello, Pablo Costa, Gonzalo Nápoles, Pablo Mesejo, Oscar Cordón
ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space. Inf. Fusion 108 (2024)
Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making. ACM Comput. Surv. 56 (11) (2024)
Harith Al-Sahaf, Pablo Mesejo, Ying Bi, Mengjie Zhang
Evolutionary deep learning for computer vision and image processing. Appl. Soft Comput. 151 (2024)
Víctor Vargas-Pérez, Pablo Mesejo, Manuel Chica, Oscar Cordón
Deep reinforcement learning in agent-based simulations for optimal media planning. Inf. Fusion 91 (2023)
Guillermo Gomez-Trenado, Pablo Mesejo, Oscar Cordón
Cascade of convolutional models for few-shot automatic cephalometric landmarks localization. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
Javier Venema, David Peula, Javier Irurita, Pablo Mesejo
Employing deep learning for sex estimation of adult individuals using 2D images of the humerus. Neural Comput. Appl. 35 (8) (2023)
Marta Fernández-Moreno, Bo Lei, Elizabeth A. Holm, Pablo Mesejo, Raúl Moreno
Exploring the trade-off between performance and annotation complexity in semantic segmentation. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making. CoRR (2023)
Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems. CoRR (2023)
Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
Towards a Unified Framework for Sequential Decision Making. CoRR (2023)
Adrián Peláez-Vegas, Pablo Mesejo, Julián Luengo
A Survey on Semi-Supervised Semantic Segmentation. CoRR (2023)
Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. IEEE Trans. Evol. Comput. 27 (1) (2023)
Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. CoRR (2022)
Guillermo Gomez-Trenado, Stéphane Lathuilière, Pablo Mesejo, Oscar Cordón
Custom Structure Preservation in Face Aging. CoRR (2022)
Guillermo Gomez-Trenado, Stéphane Lathuilière, Pablo Mesejo, Oscar Cordón
Custom Structure Preservation in Face Aging. ECCV (16) (2022)
Enrique Bermejo Nievas, Enrique Fernández-Blanco, Andrea Valsecchi, Pablo Mesejo, Óscar Ibáñez, Kazuhiko Imaizumi
FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs. Expert Syst. Appl. 210 (2022)
Julián Luengo, Raúl Moreno, Iván Sevillano-García, David Charte, Adrián Peláez-Vegas, Marta Fernández-Moreno, Pablo Mesejo, Francisco Herrera
A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges. Inf. Fusion 78 (2022)
Iván Garzón, Pablo Mesejo, Jesús Giráldez-Cru
On the Performance of Deep Generative Models of Realistic SAT Instances. SAT (2022)
Óscar Gómez, Pablo Mesejo, Óscar Ibáñez, Oscar Cordón
Deep architectures for the segmentation of frontal sinuses in X-ray images: Towards an automatic forensic identification system in comparative radiography. Neurocomputing 456 (2021)
Enrique Bermejo Nievas, Kei Taniguchi, Yoshinori Ogawa, Ruben Martos-Fernandez, Andrea Valsecchi, Pablo Mesejo, Óscar Ibáñez, Kazuhiko Imaizumi
Automatic landmark annotation in 3D surface scans of skulls: Methodological proposal and reliability study. Comput. Methods Programs Biomed. 210 (2021)
Sylvain Guy, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset. ICPR (2020)
Sylvain Guy, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset. CoRR (2020)
Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud
A Comprehensive Analysis of Deep Regression. IEEE Trans. Pattern Anal. Mach. Intell. 42 (9) (2020)
Óscar Gómez, Pablo Mesejo, Óscar Ibáñez, Andrea Valsecchi, Oscar Cordón
Deep architectures for high-resolution multi-organ chest X-ray image segmentation. Neural Comput. Appl. 32 (20) (2020)
Óscar Gómez, Pablo Mesejo, Óscar Ibáñez, Andrea Valsecchi, Oscar Cordón
A real-coded evolutionary algorithm-based registration approach for forensic identification using the radiographic comparison of frontal sinuses. CEC (2020)
Benoit Massé, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud
Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View. FG (2019)
Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel
Understanding Priors in Bayesian Neural Networks at the Unit Level. ICML (2019)
Stéphane Lathuilière, Benoit Massé, Pablo Mesejo, Radu Horaud
Neural network based reinforcement learning for audio-visual gaze control in human-robot interaction. Pattern Recognit. Lett. 118 (2019)
Benoit Massé, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud
Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View. CoRR (2019)
Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model. CoRR (2018)
Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud
A Comprehensive Analysis of Deep Regression. CoRR (2018)
Stéphane Lathuilière, Benoit Massé, Pablo Mesejo, Radu Horaud
Deep Reinforcement Learning for Audio-Visual Gaze Control. IROS (2018)
Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model. ECCV (5) (2018)
Mariia Vladimirova, Julyan Arbel, Pablo Mesejo
Bayesian neural networks increasingly sparsify their units with depth. CoRR (2018)
Stéphane Lathuilière, Benoit Massé, Pablo Mesejo, Radu Horaud
Neural Network Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction. CoRR (2017)
Stéphane Lathuilière, Rémi Juge, Pablo Mesejo, Rafael Muñoz-Salinas, Radu Horaud
Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation. CVPR (2017)
Pablo Mesejo, Sandrine Saillet, Olivier David, Christian G. Bénar, Jan M. Warnking, Florence Forbes
A Differential Evolution-Based Approach for Fitting a Nonlinear Biophysical Model to fMRI BOLD Data. IEEE J. Sel. Top. Signal Process. 10 (2) (2016)
Pablo Mesejo, Óscar Ibáñez, Oscar Cordón, Stefano Cagnoni
A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis. Appl. Soft Comput. 44 (2016)
Pablo Mesejo, Daniel Pizarro, Armand Abergel, Olivier Rouquette, Sylvain Béorchia, Laurent Poincloux, Adrien Bartoli
Computer-Aided Classification of Gastrointestinal Lesions in Regular Colonoscopy. IEEE Trans. Medical Imaging 35 (9) (2016)
Pablo Mesejo, Andrea Valsecchi, Linda Marrakchi-Kacem, Stefano Cagnoni, Sergio Damas
Biomedical image segmentation using geometric deformable models and metaheuristics. Comput. Medical Imaging Graph. 43 (2015)
Pablo Mesejo, Sandrine Saillet, Olivier David, Christian G. Bénar, Jan M. Warnking, Florence Forbes
Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization. MICCAI (2) (2015)
Pablo Mesejo, Óscar Ibáñez, Enrique Fernández-Blanco, Francisco Cedrón, Alejandro Pazos, Ana Porto Pazos
Artificial Neuron-Glia Networks Learning Approach Based on Cooperative Coevolution. Int. J. Neural Syst. 25 (4) (2015)
Andrea Valsecchi, Pablo Mesejo, Linda Marrakchi-Kacem, Stefano Cagnoni, Sergio Damas
Automatic evolutionary medical image segmentation using deformable models. IEEE Congress on Evolutionary Computation (2014)
Toby Collins, Pablo Mesejo, Adrien Bartoli
An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions. ECCV (7) (2014)
Roberto Ugolotti, Youssef S. G. Nashed, Pablo Mesejo, Spela Ivekovic, Luca Mussi, Stefano Cagnoni
Particle Swarm Optimization and Differential Evolution for model-based object detection. Appl. Soft Comput. 13 (6) (2013)
Pablo Mesejo, Roberto Ugolotti, Ferdinando Di Cunto, Mario Giacobini, Stefano Cagnoni
Automatic hippocampus localization in histological images using Differential Evolution-based deformable models. Pattern Recognit. Lett. 34 (3) (2013)
Pablo Mesejo, Stefano Cagnoni, Alessandro Costalunga, Davide Valeriani
Segmentation of histological images using a metaheuristic-based level set approach. GECCO (Companion) (2013)
Roberto Ugolotti, Pablo Mesejo, Youssef S. G. Nashed, Stefano Cagnoni
GPU-Based Automatic Configuration of Differential Evolution: A Case Study. EPIA (2013)
Carlos Fernandez-Lozano, José A. Seoane, Pablo Mesejo, Youssef S. G. Nashed, Stefano Cagnoni, Julian Dorado
2D-PAGE Texture Classification using Support Vector Machines and Genetic Algorithms - An Hybrid Approach for Texture Image Analysis. BIOINFORMATICS (2013)
Roberto Ugolotti, Youssef S. G. Nashed, Pablo Mesejo, Stefano Cagnoni
Algorithm configuration using GPU-based metaheuristics. GECCO (Companion) (2013)
Carlos Fernandez-Lozano, José A. Seoane, Pablo Mesejo, Youssef S. G. Nashed, Stefano Cagnoni, Julian Dorado
Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics. BIOSTEC (Selected Papers) (2013)
Youssef S. G. Nashed, Pablo Mesejo, Roberto Ugolotti, Jérémie Dubois-Lacoste, Stefano Cagnoni
A Comparative Study of Three GPU-Based Metaheuristics. PPSN (2) (2012)
Pablo Mesejo, Roberto Ugolotti, Stefano Cagnoni, Ferdinando Di Cunto, Mario Giacobini
Automatic segmentation of hippocampus in histological images of mouse brains using deformable models and random forest. CBMS (2012)
Youssef S. G. Nashed, Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni
libCudaOptimize: an open source library of GPU-based metaheuristics. GECCO (Companion) (2012)
Stefano Cagnoni, Oscar Cordón, Pablo Mesejo, Youssef S. G. Nashed, Roberto Ugolotti
First results and future developments of the MIBISOC Project in the IBISlab of the university of parma. GECCO (Companion) (2012)
Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni, Mario Giacobini, Ferdinando Di Cunto
Automatic hippocampus localization in histological images using PSO-based deformable models. GECCO (Companion) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pablo Mesejo