Pablo Mesejo Santiago
Category
PhDContact
pmesejo@ugr.e84ZUBrWxdIes
Organization
UGR
| Total | From 2019: | |
|---|---|---|
| Citas | Total: 2030 | From 2019: 1638 |
| Índice H | Total: 23 | From 2019: 19 |
| Índice i10 | Total: 33 | From 2019: 29 |
Papers (78)
| Title | Authors | Year |
|---|---|---|
| Evolutionary deep learning for computer vision and image processing | H Al-Sahaf, P Mesejo, Y Bi, M Zhang. | 2024 |
| Information fusion for infant age estimation from deciduous teeth using machine learning | P Martínez‐Moreno, A Valsecchi, S Damas, J Irurita, P Mesejo. | 2024 |
| ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space | M Bello, P Costa, G Nápoles, P Mesejo, Ó Cordón. | 2024 |
| Evidence evaluation in craniofacial superimposition using likelihood ratios | P Martínez-Moreno, A Valsecchi, P Mesejo, Ó Ibáñez, S Damas. | 2024 |
| Method for identifying bone images | ÓD Gómez López, Ó Ibáñez Panizo, P Mesejo, Ó Cordón, S Damas, .... | 2024 |
| The level of strength of an explanation: A quantitative evaluation technique for post-hoc XAI methods | M Bello, R Amador, MM García, J Del Ser, P Mesejo, Ó Cordón. | 2024 |
| Unveiling Agents’ Confidence in Opinion Dynamics Models via Graph Neural Networks | VA Vargas-Pérez, J Giráldez-Cru, P Mesejo, O Cordón. | 2024 |
| NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems | C Núñez-Molina, P Mesejo, J Fernández-Olivares. | 2023 |
| A Survey on Semi-Supervised Semantic Segmentation | A Peláez-Vegas, P Mesejo, J Luengo. | 2023 |
| A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making | C Núñez-Molina, P Mesejo, J Fernández-Olivares. | 2023 |
| Exploring the trade-off between performance and annotation complexity in semantic segmentation | M Fernández-Moreno, B Lei, EA Holm, P Mesejo, R Moreno. | 2023 |
| Cascade of convolutional models for few-shot automatic cephalometric landmarks localization | G Gomez-Trenado, P Mesejo, O Cordon. | 2023 |
| Skeleton-ID: AI-driven Human Identification | A Valsecchi, O Gómez, A González, M Macías, M De Dios, M Panizo, .... | 2023 |
| Towards a Unified Framework for Sequential Decision Making | C Núnez-Molina, P Mesejo, J Fernandez-Olivares. | 2023 |
| Evaluating artificial intelligence for comparative radiography | Ó Gómez, P Mesejo, Ó Ibáñez, A Valsecchi, E Bermejo, A Cerezo, J Pérez, .... | 2023 |
| On Using Admissible Bounds for Learning Forward Search Heuristics | C Núñez-Molina, M Asai, J Fernandez-Olivares, P Mesejo. | 2023 |
| Custom Structure Preservation in Face Aging | G Gomez-Trenado, S Lathuilière, P Mesejo, Ó Cordón. | 2022 |
| On the Performance of Deep Generative Models of Realistic SAT Instances | I Garzón, P Mesejo, J Giráldez-Cru. | 2022 |
| FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs | E Bermejo, E Fernandez-Blanco, A Valsecchi, P Mesejo, O Ibáñez, .... | 2022 |
| A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends | Y Bi, B Xue, P Mesejo, S Cagnoni, M Zhang. | 2022 |
| Deep reinforcement learning in agent-based simulations for optimal media planning | VA Vargas-Pérez, P Mesejo, M Chica, Ó Cordón. | 2022 |
| Employing deep learning for sex estimation of adult individuals using 2D images of the humerus | J Venema, D Peula, J Irurita, P Mesejo. | 2022 |
| A Proposal to Generate Planning Problems with Graph Neural Networks | C Núnez-Molina, P Mesejo, J Fernández-Olivares. | 2022 |
| A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges | J Luengo, R Moreno, I Sevillano, D Charte, A Peláez-Vegas, .... | 2021 |
| Deep architectures for the segmentation of frontal sinuses in X-Ray images: towards an automatic forensic identification system in comparative radiography | Ó Gómez, P Mesejo, Ó Ibáñez, Ó Cordón. | 2021 |
| Herramientas de gamificación para la enseñanza de técnicas de búsqueda heurística en entornos dinámicos | J Giráldez-Cru, P Mesejo, JÁ Segura, J Fernández-Olivares, A González. | 2021 |
| Automatic landmark annotation in 3D surface scans of skulls: methodological proposal and reliability study | E Bermejo, K Taniguchi, Y Ogawa, R Martos, A Valsecchi, P Mesejo, .... | 2021 |
| Analysis of the performance of machine learning and deep learning methods for sex estimation of infant individuals from the analysis of 2D images of the ilium | RF Ortega, J Irurita, EJE Campo, P Mesejo. | 2021 |
| Automatic segmentation of skeletal structures in X-ray images using deep learning for comparative radiography | Ó Gómez, P Mesejo, Ó Ibáñez. | 2021 |
| Preface to" Applications of evolutionary computation" | PA Castillo, JLJ Laredo, G Iacca, D Bucur, C Cotta, P Fernandez, .... | 2021 |
| A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification | P Mesejo, R Martos, Ó Ibáñez, J Novo, M Ortega. | 2020 |
| A real-coded evolutionary algorithm-based registration approach for forensic identification using the radiographic comparison of frontal sinuses | Ó Gómez, P Mesejo, Ó Ibáñez, A Valsecchi, Ó Cordón. | 2020 |
| Learning Visual Voice Activity Detection with an Automatically Annotated Dataset | S Guy, S Lathuilière, P Mesejo, R Horaud. | 2020 |
| A comprehensive analysis of deep regression | S Lathuilière, P Mesejo, X Alameda-Pineda, R Horaud. | 2019 |
| Neural network based reinforcement learning for audio–visual gaze control in human–robot interaction | S Lathuilière, B Massé, P Mesejo, R Horaud. | 2019 |
| Understanding priors in Bayesian neural networks at the unit level | M Vladimirova, J Verbeek, P Mesejo, J Arbel. | 2019 |
| Age estimation in forensic anthropology: methodological considerations about the validation studies of prediction models | A Valsecchi, JI Olivares, P Mesejo. | 2019 |
| Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View | B Massé, S Lathuilière, P Mesejo, R Horaud. | 2019 |
| Deep architectures for high-resolution multi-organ chest X-ray image segmentation | O Gómez, P Mesejo, O Ibáñez, A Valsecchi, O Cordón. | 2019 |
| Bayesian neural networks become heavier-tailed with depth | M Vladimirova, J Arbel, P Mesejo. | 2018 |
| Bayesian neural networks increasingly sparsify their units with depth | M Vladimirova, J Arbel, P Mesejo. | 2018 |
| DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model | S Lathuilière, P Mesejo, X Alameda-Pineda, R Horaud. | 2018 |
| Bayesian neural network priors at the level of units | M Vladimirova, J Arbel, P Mesejo. | 2018 |
| Deep Reinforcement Learning for Audio-Visual Gaze Control | S Lathuilière, B Massé, P Mesejo, R Horaud. | 2018 |
| Deep mixture of linear inverse regressions applied to head-pose estimation | S Lathuilière, R Juge, P Mesejo, R Munoz-Salinas, R Horaud. | 2017 |
| Neural Network Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction | S Lathuilière, B Massé, P Mesejo, R Horaud. | 2017 |
| A Survey on Image Segmentation using Metaheuristic-based Deformable Models: State of the Art and Critical Analysis | P Mesejo, O Ibáñez, O Cordón, S Cagnoni. | 2016 |
| Computer-Aided Classification of Gastrointestinal Lesions in Regular Colonoscopy | P Mesejo, D Pizarro, A Abergel, O Rouquette, S Beorchia, L Poincloux, .... | 2016 |
| A differential evolution-based approach for fitting a nonlinear biophysical model to fMRI BOLD data | P Mesejo, S Saillet, O David, C Bénar, J Warnking, F Forbes. | 2016 |
| Biomedical image segmentation using geometric deformable models and metaheuristics | P Mesejo, A Valsecchi, L Marrakchi-Kacem, S Cagnoni, S Damas. | 2015 |
| Artificial neuron–glia networks learning approach based on cooperative coevolution | P Mesejo, O Ibánez, E Fernández-Blanco, F Cedrón, A Pazos, .... | 2015 |
| Estimating biophysical parameters from BOLD signals through evolutionary-based optimization | P Mesejo, S Saillet, O David, C Bénar, JM Warnking, F Forbes. | 2015 |
| An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions | T Collins, P Mesejo, A Bartoli. | 2014 |
| Automatic evolutionary medical image segmentation using deformable models | A Valsecchi, P Mesejo, L Marrakchi-Kacem, S Cagnoni, S Damas. | 2014 |
| Automatic segmentation of anatomical structures using deformable models and bio-inspired/soft computing | P Mesejo Santiago. | 2014 |
| Texture Classification of Proteins using Support Vector Machines and Bio-Inspired Metaheuristics | C Fernandez-Lozano, JA Seoane Fernández, P Mesejo, YSG Nashed, .... | 2014 |
| Particle swarm optimization and differential evolution for model-based object detection | R Ugolotti, YSG Nashed, P Mesejo, ŠP Ivekovič, L Mussi, S Cagnoni. | 2013 |
| Automatic hippocampus localization in histological images using Differential Evolution-based deformable models | P Mesejo, R Ugolotti, F Di Cunto, M Giacobini, S Cagnoni. | 2013 |
| Visual search of neuropil-enriched RNAs from brain in situ hybridization data through the image analysis pipeline Hippo-ATESC | R Ugolotti, P Mesejo, S Zongaro, B Bardoni, G Berto, F Bianchi, I Molineris, .... | 2013 |
| Algorithm configuration using GPU-based metaheuristics | R Ugolotti, YSG Nashed, P Mesejo, S Cagnoni. | 2013 |
| Segmentation of histological images using a metaheuristic-based level set approach | P Mesejo, S Cagnoni, A Costalunga, D Valeriani. | 2013 |
| An experimental study on the automatic segmentation of in situ hybridization-derived images | P Mesejo, S Cagnoni. | 2013 |
| GPU-based Automatic Configuration of Differential Evolution: a case study | R Ugolotti, P Mesejo, YSG Nashed, S Cagnoni. | 2013 |
| 2D-page texture classification using support vector machines and genetic algorithms: A hybrid approach for texture image analysis | C Fernandez-Lozano, JA Seoane, P Mesejo, YSG Nashed, S Cagnoni, .... | 2013 |
| 2D-page texture classification using support vector machines and genetic algorithms an hybrid approach for texture image analysis | CF Lozano, JA Seoane, P Mesejo, YSG Nashed, S Cagnoni, J Dorado. | 2013 |
| libCudaOptimize: an open source library of GPU-based metaheuristics | YSG Nashed, R Ugolotti, P Mesejo, S Cagnoni. | 2012 |
| Automatic segmentation of hippocampus in histological images of mouse brains using deformable models and random forest | P Mesejo, R Ugolotti, S Cagnoni, F Di Cunto, M Giacobini. | 2012 |
| A comparative study of three GPU-based metaheuristics | YSG Nashed, P Mesejo, R Ugolotti, J Dubois-Lacoste, S Cagnoni. | 2012 |
| First results and future developments of the MIBISOC Project in the IBISlab of the University of Parma | S Cagnoni, O Cordón, P Mesejo, YSG Nashed, R Ugolotti. | 2012 |
| Optimización mediante Computación Evolutiva de la interacción Neurona-Astrocito en Redes Neurogliales Artificiales | F Romero-Porta, P Mesejo, O Ibáñez, AB Porto-Pazos. | 2012 |
| Artificial astrocytes improve neural network performance | AB Porto-Pazos, N Veiguela, P Mesejo, M Navarrete, A Alvarellos, .... | 2011 |
| Automatic hippocampus localization in histological images using PSO-based deformable models | R Ugolotti, P Mesejo, S Cagnoni, M Giacobini, F Di Cunto. | 2011 |
| Swarm intelligence techniques for image analysis and pattern recognition | S Cagnoni, M Mordonini, PM Santiago, L Mussi, Y Nashed, R Ugolotti. | 2010 |
| 2D-PAGE Analysis Using Evolutionary Computation | P Mesejo, E Fernández-Blanco, D Martínez-Feijóo, FJ Blanco. | 2009 |
| 2D-PAGE image analysis using evolutionary computation | P Mesejo, E Fernández-Blanco, JA Seoane Fernández, C Ruiz Romero, .... | 2008 |
| Diagnóstico por Imagen en Reumatología: de la Imagen Radiológica a la Imagen Molecular | JA Seoane Fernández, P Mesejo, C Ruiz Romero, J Dorado, A Pazos, .... | 2007 |
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