Publications (32) PABLO MESEJO SANTIAGO publications

filter_list Artificial Intelligence

2025

  1. The level of strength of an explanation: A quantitative evaluation technique for post-hoc XAI methods

    Pattern Recognition, Vol. 161

2024

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

    ACM Computing Surveys, Vol. 56, Núm. 11

  2. Evaluating artificial intelligence for comparative radiography

    International Journal of Legal Medicine, Vol. 138, Núm. 1, pp. 307-327

  3. ExplainLFS: Explaining neural architectures for similarity learning from local perturbations in the latent feature space

    Information Fusion, Vol. 108

  4. On Using Admissible Bounds for Learning Forward Search Heuristics

    IJCAI International Joint Conference on Artificial Intelligence

  5. REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image

    Information Sciences, Vol. 654

  6. Unveiling Agents' Confidence in Opinion Dynamics Models via Graph Neural Networks

    IEEE Transactions on Computational Social Systems

2023

  1. A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends

    IEEE Transactions on Evolutionary Computation, Vol. 27, Núm. 1, pp. 5-25

  2. Artificial intelligence in forensic anthropology: State of the art and Skeleton-ID project

    Methodological and Technological Advances in Death Investigations: Application and Case Studies (Elsevier), pp. 83-153

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

    Information Fusion, Vol. 91, pp. 644-664

  4. Employing deep learning for sex estimation of adult individuals using 2D images of the humerus

    Neural Computing and Applications, Vol. 35, Núm. 8, pp. 5987-5998

2022

  1. A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges

    Information Fusion

  2. On the Performance of Deep Generative Models of Realistic SAT Instances

    Leibniz International Proceedings in Informatics, LIPIcs

2021

  1. Deep architectures for the segmentation of frontal sinuses in X-ray images: Towards an automatic forensic identification system in comparative radiography

    Neurocomputing, Vol. 456, pp. 575-585

  2. Herramientas de gamificación para la enseñanza de técnicas de búsqueda heurística en entornos dinámicos

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 6, pp. 179-186

2020

  1. A Comprehensive Analysis of Deep Regression

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 42, Núm. 9, pp. 2065-2081

  2. Learning visual voice activity detection with an automatically annotated dataset

    Proceedings - International Conference on Pattern Recognition

2019

  1. Neural network based reinforcement learning for audio–visual gaze control in human–robot interaction

    Pattern Recognition Letters, Vol. 118, pp. 61-71

  2. Understanding priors in Bayesian neural networks at the unit level

    36th International Conference on Machine Learning, ICML 2019

2018

  1. Deep Reinforcement Learning for Audio-Visual Gaze Control

    IEEE International Conference on Intelligent Robots and Systems