Pablo Mesejo
Orcid: 0000-0001-9955-2101
According to our database1,
Pablo Mesejo
authored at least 56 papers
between 2009 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
The level of strength of an explanation: A quantitative evaluation technique for post-hoc XAI methods.
Pattern Recognit., 2025
2024
ACM Comput. Surv., November, 2024
REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image.
Inf. Sci., January, 2024
Appl. Soft Comput., January, 2024
Inf. Fusion, 2024
ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space.
Inf. Fusion, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
Employing deep learning for sex estimation of adult individuals using 2D images of the humerus.
Neural Comput. Appl., March, 2023
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends.
IEEE Trans. Evol. Comput., February, 2023
Inf. Fusion, 2023
Cascade of convolutional models for few-shot automatic cephalometric landmarks localization.
Eng. Appl. Artif. Intell., 2023
Exploring the trade-off between performance and annotation complexity in semantic segmentation.
Eng. Appl. Artif. Intell., 2023
2022
A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges.
Inf. Fusion, 2022
FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs.
Expert Syst. Appl., 2022
Proceedings of the 25th International Conference on Theory and Applications of Satisfiability Testing, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Deep architectures for the segmentation of frontal sinuses in X-ray images: Towards an automatic forensic identification system in comparative radiography.
Neurocomputing, 2021
Automatic landmark annotation in 3D surface scans of skulls: Methodological proposal and reliability study.
Comput. Methods Programs Biomed., 2021
2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Neural Comput. Appl., 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
A real-coded evolutionary algorithm-based registration approach for forensic identification using the radiographic comparison of frontal sinuses.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Neural network based reinforcement learning for audio-visual gaze control in human-robot interaction.
Pattern Recognit. Lett., 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019
2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
2017
Neural Network Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction.
CoRR, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
IEEE Trans. Medical Imaging, 2016
A Differential Evolution-Based Approach for Fitting a Nonlinear Biophysical Model to fMRI BOLD Data.
IEEE J. Sel. Top. Signal Process., 2016
A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis.
Appl. Soft Comput., 2016
2015
Int. J. Neural Syst., 2015
Comput. Medical Imaging Graph., 2015
Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2014
Automatic Segmentation of Anatomical Structures using Deformable Models and Bio-Inspired/Soft Computing.
PhD thesis, 2014
Proceedings of the Computer Vision - ECCV 2014, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Automatic hippocampus localization in histological images using Differential Evolution-based deformable models.
Pattern Recognit. Lett., 2013
Particle Swarm Optimization and Differential Evolution for model-based object detection.
Appl. Soft Comput., 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Progress in Artificial Intelligence, 2013
2D-PAGE Texture Classification using Support Vector Machines and Genetic Algorithms - An Hybrid Approach for Texture Image Analysis.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013
Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics.
Proceedings of the Biomedical Engineering Systems and Technologies, 2013
2012
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
First results and future developments of the MIBISOC Project in the IBISlab of the university of parma.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Automatic segmentation of hippocampus in histological images of mouse brains using deformable models and random forest.
Proceedings of CBMS 2012, 2012
2011
Automatic hippocampus localization in histological images using PSO-based deformable models.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009