David Delgado-Gómez
Orcid: 0000-0002-2976-2602Affiliations:
- Charles III University of Madrid, Spain
According to our database1,
David Delgado-Gómez
authored at least 51 papers
between 2003 and 2024.
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on orcid.org
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Bibliography
2024
Assessment of ADHD Subtypes Using Motion Tracking Recognition Based on Stroop Color-Word Tests.
Sensors, January, 2024
Multi-machine preventative maintenance scheduling with imperfect interventions: a restless bandit approach.
CoRR, 2024
2023
Comput. Stat., December, 2023
Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review.
SIAM Rev., February, 2023
2022
Safe importance sampling based on partial posteriors and neural variational approximations.
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the Actas del I Congreso Español de Videojuegos, 2022
2021
cat.dt: An R package for fast construction of accurate Computerized Adaptive Tests using Decision Trees.
R J., 2021
Accurate Prediction of Children's ADHD Severity Using Family Burden Information: A Neural Lasso Approach.
Frontiers Comput. Neurosci., 2021
Digit. Signal Process., 2021
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning.
CoRR, 2021
A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021
2020
J. Oper. Res. Soc., 2020
Merged Tree-CAT: A fast method for building precise computerized adaptive tests based on decision trees.
Expert Syst. Appl., 2020
Multi-machine preventive maintenance scheduling with imperfect interventions: A restless bandit approach.
Comput. Oper. Res., 2020
Comput. Math. Methods Medicine, 2020
Feasibility of a Virtual Reality-Based Psychoeducational Tool (VRight) for Depressive Patients.
Cyberpsychology Behav. Soc. Netw., 2020
IEEE Access, 2020
On the computation of marginal likelihood via MCMC for model selection and hypothesis testing.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
Expert Syst. Appl., 2019
2018
Comput. Math. Methods Medicine, 2018
2017
A One-Sample per Individual Face Recognition Algorithm Based on Multiple One-Dimensional Projection Lines.
Int. J. Pattern Recognit. Artif. Intell., 2017
2016
2015
Restructuring bank networks after mergers and acquisitions: A capacitated delocation model for closing and resizing branches.
Comput. Oper. Res., 2015
2014
Fast training procedure for Viola-Jones type object detectors using Laplacian clutter models.
Pattern Anal. Appl., 2014
Gaussian weak classifiers based on co-occurring Haar-like features for face detection.
Pattern Anal. Appl., 2014
2012
An Experimental Evaluation of Three Classifiers for Use in Self-Updating Face Recognition Systems.
IEEE Trans. Inf. Forensics Secur., 2012
Neurocomputing, 2012
2011
Expert Syst. Appl., 2011
Artif. Intell. Medicine, 2011
Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011
2010
Pattern Recognit., 2010
2009
Proceedings of the Progress in Pattern Recognition, 2009
Gaussian Weak Classifiers Based on Haar-Like Features with Four Rectangles for Real-time Face Detection.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009
2008
IEEE Trans. Biomed. Eng., 2008
Image intensity standardization in 3D rotational angiography and its application to vascular segmentation.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
2007
Automatic change detection and quantification of dermatological diseases with an application to psoriasis images.
Pattern Recognit. Lett., 2007
Comput. Vis. Image Underst., 2007
Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007
2006
Image Vis. Comput., 2006
2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
2003
Proceedings of the Image Analysis, 13th Scandinavian Conference, 2003