Pablo Mesejo

Orcid: 0000-0001-9955-2101

According to our database1, Pablo Mesejo authored at least 52 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image.
Inf. Sci., January, 2024

Evolutionary deep learning for computer vision and image processing.
Appl. Soft Comput., January, 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

Deep reinforcement learning in agent-based simulations for optimal media planning.
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

Towards a Unified Framework for Sequential Decision Making.
CoRR, 2023

A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making.
CoRR, 2023

A Survey on Semi-Supervised Semantic Segmentation.
CoRR, 2023

NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems.
CoRR, 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

On the Performance of Deep Generative Models of Realistic SAT Instances.
Proceedings of the 25th International Conference on Theory and Applications of Satisfiability Testing, 2022

Custom Structure Preservation in Face Aging.
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
A Comprehensive Analysis of Deep Regression.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Deep architectures for high-resolution multi-organ chest X-ray image segmentation.
Neural Comput. Appl., 2020

Learning Visual Voice Activity Detection with an Automatically Annotated Dataset.
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

Understanding Priors in Bayesian Neural Networks at the Unit Level.
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
Bayesian neural networks increasingly sparsify their units with depth.
CoRR, 2018

Deep Reinforcement Learning for Audio-Visual Gaze Control.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Neural Network Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction.
CoRR, 2017

Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Gastrointestinal Lesions in Regular Colonoscopy.
Dataset, October, 2016

Computer-Aided Classification of Gastrointestinal Lesions in Regular Colonoscopy.
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
Artificial Neuron-Glia Networks Learning Approach Based on Cooperative Coevolution.
Int. J. Neural Syst., 2015

Biomedical image segmentation using geometric deformable models and metaheuristics.
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

An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions.
Proceedings of the Computer Vision - ECCV 2014, 2014

Automatic evolutionary medical image segmentation using deformable models.
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

Algorithm configuration using GPU-based metaheuristics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Segmentation of histological images using a metaheuristic-based level set approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

GPU-Based Automatic Configuration of Differential Evolution: A Case Study.
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
A Comparative Study of Three GPU-Based Metaheuristics.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

libCudaOptimize: an open source library of GPU-based metaheuristics.
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
2D-PAGE Analysis Using Evolutionary Computation.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009


  Loading...