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Pablo Mesejo
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2020 – today
- 2024
- [j24]Harith Al-Sahaf
, Pablo Mesejo, Ying Bi
Evolutionary deep learning for computer vision and image processing. Appl. Soft Comput. 151: 111159 (2024) - [j23]Carlos Núñez-Molina
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making. ACM Comput. Surv. 56(11): 272:1-272:36 (2024) - [j22]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: 102407 (2024) - [j21]Práxedes Martínez-Moreno
Evidence evaluation in craniofacial superimposition using likelihood ratios. Inf. Fusion 111: 102489 (2024) - [j20]Marilyn Bello, Gonzalo Nápoles
REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image. Inf. Sci. 654: 119851 (2024) - [c24]Carlos Núñez-Molina
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems. ECAI 2024: 4084-4091 - [c23]Carlos Núñez-Molina, Masataro Asai, Pablo Mesejo, Juan Fernández-Olivares:
On Using Admissible Bounds for Learning Forward Search Heuristics. IJCAI 2024: 6761-6769 - 2023
- [j19]Marta Fernández-Moreno, Bo Lei
Exploring the trade-off between performance and annotation complexity in semantic segmentation. Eng. Appl. Artif. Intell. 123(Part B): 106299 (2023) - [j18]Guillermo Gomez-Trenado
Cascade of convolutional models for few-shot automatic cephalometric landmarks localization. Eng. Appl. Artif. Intell. 123(Part B): 106391 (2023) - [j17]Víctor Vargas-Pérez
Deep reinforcement learning in agent-based simulations for optimal media planning. Inf. Fusion 91: 644-664 (2023) - [j16]Javier Venema
Employing deep learning for sex estimation of adult individuals using 2D images of the humerus. Neural Comput. Appl. 35(8): 5987-5998 (2023) - [j15]Ying Bi
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. IEEE Trans. Evol. Comput. 27(1): 5-25 (2023) - [i12]Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares:
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems. CoRR abs/2301.10280 (2023) - [i11]Adrián Peláez-Vegas, Pablo Mesejo, Julián Luengo:
A Survey on Semi-Supervised Semantic Segmentation. CoRR abs/2302.09899 (2023) - [i10]Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares:
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making. CoRR abs/2304.10590 (2023) - [i9]Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares:
Towards a Unified Framework for Sequential Decision Making. CoRR abs/2310.02167 (2023) - 2022
- [j14]Enrique Bermejo Nievas
FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs. Expert Syst. Appl. 210: 118457 (2022) - [j13]Julián Luengo
A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges. Inf. Fusion 78: 232-253 (2022) - [c22]Guillermo Gomez-Trenado
Custom Structure Preservation in Face Aging. ECCV (16) 2022: 565-580 - [c21]Iván Garzón
On the Performance of Deep Generative Models of Realistic SAT Instances. SAT 2022: 3:1-3:19 - [i8]Guillermo Gomez-Trenado, Stéphane Lathuilière, Pablo Mesejo, Oscar Cordón:
Custom Structure Preservation in Face Aging. CoRR abs/2207.11025 (2022) - [i7]Ying Bi
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. CoRR abs/2209.06399 (2022) - 2021
- [j12]Enrique Bermejo Nievas
Automatic landmark annotation in 3D surface scans of skulls: Methodological proposal and reliability study. Comput. Methods Programs Biomed. 210: 106380 (2021) - [j11]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: 575-585 (2021) - 2020
- [j10]Óscar Gómez
Deep architectures for high-resolution multi-organ chest X-ray image segmentation. Neural Comput. Appl. 32(20): 15949-15963 (2020) - [j9]Stéphane Lathuilière
A Comprehensive Analysis of Deep Regression. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2065-2081 (2020) - [c20]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: 1-8 - [c19]Sylvain Guy, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud:
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset. ICPR 2020: 4851-4856 - [i6]Sylvain Guy, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud:
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset. CoRR abs/2009.11204 (2020)
2010 – 2019
- 2019
- [j8]Stéphane Lathuilière, Benoit Massé
Neural network based reinforcement learning for audio-visual gaze control in human-robot interaction. Pattern Recognit. Lett. 118: 61-71 (2019) - [c18]Benoit Massé, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud:
Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View. FG 2019: 1-8 - [c17]Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel:
Understanding Priors in Bayesian Neural Networks at the Unit Level. ICML 2019: 6458-6467 - [i5]Benoit Massé, Stéphane Lathuilière, Pablo Mesejo, Radu Horaud:
Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View. CoRR abs/1902.10953 (2019) - 2018
- [c16]Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud:
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model. ECCV (5) 2018: 205-221 - [c15]Stéphane Lathuilière, Benoit Massé, Pablo Mesejo, Radu Horaud:
Deep Reinforcement Learning for Audio-Visual Gaze Control. IROS 2018: 1555-1562 - [i4]Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud:
A Comprehensive Analysis of Deep Regression. CoRR abs/1803.08450 (2018) - [i3]Stéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda, Radu Horaud:
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model. CoRR abs/1808.09211 (2018) - [i2]Mariia Vladimirova, Julyan Arbel, Pablo Mesejo:
Bayesian neural networks increasingly sparsify their units with depth. CoRR abs/1810.05193 (2018) - 2017
- [c14]Stéphane Lathuilière, Rémi Juge, Pablo Mesejo, Rafael Muñoz-Salinas
Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation. CVPR 2017: 7149-7157 - [i1]Stéphane Lathuilière, Benoit Massé, Pablo Mesejo, Radu Horaud:
Neural Network Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction. CoRR abs/1711.06834 (2017) - 2016
- [j7]Pablo Mesejo, Óscar Ibáñez
A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis. Appl. Soft Comput. 44: 1-29 (2016) - [j6]Pablo Mesejo
A Differential Evolution-Based Approach for Fitting a Nonlinear Biophysical Model to fMRI BOLD Data. IEEE J. Sel. Top. Signal Process. 10(2): 416-427 (2016) - [j5]Pablo Mesejo
Computer-Aided Classification of Gastrointestinal Lesions in Regular Colonoscopy. IEEE Trans. Medical Imaging 35(9): 2051-2063 (2016) - [d1]Pablo Mesejo, Daniel Pizarro:
Gastrointestinal Lesions in Regular Colonoscopy. UCI Machine Learning Repository, 2016 - 2015
- [j4]Pablo Mesejo
Biomedical image segmentation using geometric deformable models and metaheuristics. Comput. Medical Imaging Graph. 43: 167-178 (2015) - [j3]Pablo Mesejo
Artificial Neuron-Glia Networks Learning Approach Based on Cooperative Coevolution. Int. J. Neural Syst. 25(4): 1550012:1-1550012:19 (2015) - [c13]Pablo Mesejo, Sandrine Saillet
Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization. MICCAI (2) 2015: 528-535 - 2014
- [b1]Pablo Mesejo:
Automatic Segmentation of Anatomical Structures using Deformable Models and Bio-Inspired/Soft Computing. University of Parma, Italy, 2014 - [c12]Andrea Valsecchi, Pablo Mesejo
Automatic evolutionary medical image segmentation using deformable models. IEEE Congress on Evolutionary Computation 2014: 97-104 - [c11]Toby Collins, Pablo Mesejo
An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions. ECCV (7) 2014: 138-153 - 2013
- [j2]Roberto Ugolotti
Particle Swarm Optimization and Differential Evolution for model-based object detection. Appl. Soft Comput. 13(6): 3092-3105 (2013) - [j1]Pablo Mesejo
Automatic hippocampus localization in histological images using Differential Evolution-based deformable models. Pattern Recognit. Lett. 34(3): 299-307 (2013) - [c10]Carlos Fernandez-Lozano, José A. Seoane, Pablo Mesejo, Youssef S. G. Nashed, Stefano Cagnoni, Julián Dorado:
2D-PAGE Texture Classification using Support Vector Machines and Genetic Algorithms - An Hybrid Approach for Texture Image Analysis. BIOINFORMATICS 2013: 5-14 - [c9]Carlos Fernandez-Lozano
Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics. BIOSTEC (Selected Papers) 2013: 117-130 - [c8]Roberto Ugolotti, Pablo Mesejo
GPU-Based Automatic Configuration of Differential Evolution: A Case Study. EPIA 2013: 114-125 - [c7]Roberto Ugolotti, Youssef S. G. Nashed
Algorithm configuration using GPU-based metaheuristics. GECCO (Companion) 2013: 221-222 - [c6]Pablo Mesejo
Segmentation of histological images using a metaheuristic-based level set approach. GECCO (Companion) 2013: 1455-1462 - 2012
- [c5]Pablo Mesejo
Automatic segmentation of hippocampus in histological images of mouse brains using deformable models and random forest. CBMS 2012: 1-4 - [c4]Youssef S. G. Nashed
libCudaOptimize: an open source library of GPU-based metaheuristics. GECCO (Companion) 2012: 117-124 - [c3]Stefano Cagnoni
First results and future developments of the MIBISOC Project in the IBISlab of the university of parma. GECCO (Companion) 2012: 509-516 - [c2]Youssef S. G. Nashed
A Comparative Study of Three GPU-Based Metaheuristics. PPSN (2) 2012: 398-407 - 2011
- [c1]Roberto Ugolotti, Pablo Mesejo
Automatic hippocampus localization in histological images using PSO-based deformable models. GECCO (Companion) 2011: 487-494
2000 – 2009
- 2009
- [r1]Pablo Mesejo, Enrique Fernández-Blanco, Diego Martínez-Feijóo, Francisco Blanco:
2D-PAGE Analysis Using Evolutionary Computation. Encyclopedia of Artificial Intelligence 2009: 1583-1588
Coauthor Index
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last updated on 2024-12-02 22:30 CET by the dblp team
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