Building an Image-Based System to Automatically Score Psoriasis. - David Delgado-Gómez; Jens Michael Carstensen; Bjarne K. Ersbøll; Lone Skov; Bo Bang (SCIA, 2003)

Analysis of Time-Varying Psoriasis Lesion Image Patterns. - Bjarne K. Ersbøll; Allan Aasbjerg Nielsen; Gabriela Maletti; David Delgado-Gómez (ISBI, 2004)

Multi-set Multi-temporal Canonical Analysis of Psoriasis Images. - David Delgado-Gómez; Allan Aasbjerg Nielsen; Bjarne K. Ersbøll; Gabriela Maletti (ISBI, 2004)

Collecting highly reproducible images to support dermatological medical diagnosis. - David Delgado-Gómez; Jens Michael Carstensen; Bjarne K. Ersbøll (Image Vis. Comput., 2006)

Individual Discriminative Face Recognition Models Based on Subsets of Features. - Line Harder Clemmensen; David Delgado-Gómez; Bjarne K. Ersbøll (SCIA, 2007)

Precise acquisition and unsupervised segmentation of multi-spectral images. - David Delgado-Gómez; Line Harder Clemmensen; Bjarne K. Ersbøll; Jens Michael Carstensen (Comput. Vis. Image Underst., 2007)

Automatic change detection and quantification of dermatological diseases with an application to psoriasis images. - David Delgado-Gómez; Constantine Butakoff; Bjarne K. Ersbøll; Jens Michael Carstensen (Pattern Recognit. Lett., 2007)

Image intensity standardization in 3D rotational angiography and its application to vascular segmentation. - Hrvoje Bogunovic; Alessandro G. Radaelli; Mathieu De Craene; David Delgado-Gómez; Alejandro F. Frangi (Image Processing, 2008)

Independent Histogram Pursuit for Segmentation of Skin Lesions. - David Delgado-Gómez; Constantine Butakoff; Bjarne Kjær Ersbøll; William V. Stoecker (IEEE Trans. Biomed. Eng., 2008)

Gaussian Weak Classifiers Based on Haar-Like Features with Four Rectangles for Real-time Face Detection. - Sri-Kaushik Pavani; David Delgado-Gómez; Alejandro F. Frangi (CAIP, 2009)

A Rapidly Trainable and Global Illumination Invariant Object Detection System. - Sri-Kaushik Pavani; David Delgado-Gómez; Alejandro F. Frangi (CIARP, 2009)

Similarity-based Fisherfaces. - David Delgado-Gómez; Jens Fagertun; Bjarne K. Ersbøll; Federico Sukno; Alejandro F. Frangi (Pattern Recognit. Lett., 2009)

Individual identification using personality traits. - David Delgado-Gómez; Federico Sukno; David Aguado; Carlos Santa Cruz; Antonio Artés-Rodríguez (J. Netw. Comput. Appl., 2010)

Haar-like features with optimally weighted rectangles for rapid object detection. - Sri-Kaushik Pavani; David Delgado-Gómez; Alejandro F. Frangi (Pattern Recognit., 2010)

Sparse Similarity-Based Fisherfaces. - Jens Fagertun; David Delgado-Gómez; Mads Fogtmann Hansen; Rasmus R. Paulsen (SCIA, 2011)

Improving the accuracy of suicide attempter classification. - David Delgado-Gómez; Hilario Blasco-Fontecilla; AnaLucia A. Alegria; Teresa Legido-Gil; Antonio Artés-Rodríguez; Enrique Baca-García (Artif. Intell. Medicine, 2011)

Improving sale performance prediction using support vector machines. - David Delgado-Gómez; David Aguado; Jorge Lopez-Castroman; Carlos Santa Cruz; Antonio Artés-Rodríguez (Expert Syst. Appl., 2011)

Suicide attempters classification: Toward predictive models of suicidal behavior. - David Delgado-Gómez; Hilario Blasco-Fontecilla; Federico Sukno; Maria Socorro Ramos-Plasencia; Enrique Baca-García (Neurocomputing, 2012)

An Experimental Evaluation of Three Classifiers for Use in Self-Updating Face Recognition Systems. - Sri-Kaushik Pavani; Federico Sukno; David Delgado-Gómez; Constantine Butakoff; Xavier Planes; Alejandro F. Frangi (IEEE Trans. Inf. Forensics Secur., 2012)

Gaussian weak classifiers based on co-occurring Haar-like features for face detection. - Sri-Kaushik Pavani; David Delgado-Gómez; Alejandro F. Frangi (Pattern Anal. Appl., 2014)

Fast training procedure for Viola-Jones type object detectors using Laplacian clutter models. - Sri-Kaushik Pavani; David Delgado-Gómez; Alejandro F. Frangi (Pattern Anal. Appl., 2014)

Restructuring bank networks after mergers and acquisitions: A capacitated delocation model for closing and resizing branches. - Diego Ruiz-Hernández; David Delgado-Gómez; Joaquín López-Pascual (Comput. Oper. Res., 2015)

The stochastic capacitated branch restructuring problem. - Diego Ruiz-Hernández; David Delgado-Gómez (Ann. Oper. Res., 2016)

Cournot-Stackelberg games in competitive delocation. - Diego Ruiz-Hernández; Javier Elizalde; David Delgado-Gómez (Ann. Oper. Res., 2017)

A One-Sample per Individual Face Recognition Algorithm Based on Multiple One-Dimensional Projection Lines. - David Delgado-Gómez; Diego Ruiz-Hernández (Int. J. Pattern Recognit. Artif. Intell., 2017)

WHODAS 2.0 as a Measure of Severity of Illness: Results of a FLDA Analysis. - Alba Sedano-Capdevila; María Luisa Barrigón; David Delgado-Gómez; Igor Barahona; Fuensanta Aroca; Inmaculada Peñuelas-Calvo; Carolina Miguelez-Fernandez; Alba Rodríguez-Jover; Susana Amodeo-Escribano; Marta González-Granado; Enrique Baca-García (Comput. Math. Methods Medicine, 2018)

Computerized adaptive test and decision trees: A unifying approach. - David Delgado-Gómez; Juan C. Laria; Diego Ruiz-Hernández (Expert Syst. Appl., 2019)

Parallel Metropolis-Hastings Coupler. - Fernando Llorente 001; Luca Martino; David Delgado 001 (IEEE Signal Process. Lett., 2019)

On the computation of marginal likelihood via MCMC for model selection and hypothesis testing. - Fernando Llorente 001; Luca Martino; David Delgado-Gómez; Javier López-Santiago (EUSIPCO, 2020)

Adaptive Quadrature Schemes for Bayesian Inference via Active Learning. - Fernando Llorente-Fernández; Luca Martino; Victor Elvira; David Delgado 001; Javier López-Santiago (IEEE Access, 2020)

Feasibility of a Virtual Reality-Based Psychoeducational Tool (VRight) for Depressive Patients. - Marta Migoya-Borja; David Delgado-Gómez; Rodrigo Carmona-Camacho; Alejandro Porras-Segovia; Javier-David López-Moriñigo; Montserrat Sánchez-Alonso; Lucía Albarracín García; Nuria Guerra; María Luisa Barrigón; Margarita Alegría; Enrique Baca-García (Cyberpsychology Behav. Soc. Netw., 2020)

A Probabilistic Patient Scheduling Model with Time Variable Slots. - Danae Carreras-García; David Delgado-Gómez; Enrique Baca-García; Antonio Artés-Rodríguez (Comput. Math. Methods Medicine, 2020)

Multi-machine preventive maintenance scheduling with imperfect interventions: A restless bandit approach. - Diego Ruiz-Hernández; Jesús María Pinar-Pérez; David Delgado-Gómez (Comput. Oper. Res., 2020)

Patient No-Show Prediction: A Systematic Literature Review. - Danae Carreras-García; David Delgado-Gómez; Fernando Llorente-Fernández; Ana Arribas-Gil (Entropy, 2020)

Merged Tree-CAT: A fast method for building precise computerized adaptive tests based on decision trees. - Javier Rodríguez-Cuadrado; David Delgado-Gómez; Juan C. Laria; Sara Rodríguez-Cuadrado (Expert Syst. Appl., 2020)

A probabilistic patient scheduling model for reducing the number of no-shows. - Diego Ruiz-Hernández; David García-Heredia; David Delgado-Gómez; Enrique Baca-García (J. Oper. Res. Soc., 2020)

A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design. - Fernando Llorente 001; Luca Martino; Víctor Elvira; David Delgado 001 (SSP, 2021)

MCMC-driven importance samplers. - Fernando Llorente 001; Ernesto Curbelo; Luca Martino; Victor Elvira; David Delgado 001 (CoRR, 2021)

A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning. - Fernando Llorente 001; Luca Martino; Jessa Read; David Delgado 001 (CoRR, 2021)

Deep importance sampling based on regression for model inversion and emulation. - Fernando Llorente 001; Luca Martino; David Delgado-Gómez; Gustavo Camps-Valls (Digit. Signal Process., 2021)

Accurate Prediction of Children's ADHD Severity Using Family Burden Information: A Neural Lasso Approach. - Juan C. Laria; David Delgado-Gómez; Inmaculada Peñuelas-Calvo; Enrique Baca-García; Rosa E. Lillo (Frontiers Comput. Neurosci., 2021)

cat.dt: An R package for fast construction of accurate Computerized Adaptive Tests using Decision Trees. - Javier Rodríguez-Cuadrado; Juan C. Laria; David Delgado-Gómez (R J., 2021)

Assessment of attention through user's performance in a virtual reality game. - David Mendez-Encinas; Aaron Sújar; David Delgado-Gómez (CEV, 2022)

Safe importance sampling based on partial posteriors and neural variational approximations. - Fernando Llorente 001; Ernesto Curbelo; Luca Martino; Pablo M. Olmos; David Delgado 001 (EUSIPCO, 2022)

Automatic Personality Assessment through Movement Analysis. - David Delgado-Gómez; Antonio Eduardo Masó-Besga; David Aguado; Victor J. Rubio; Aaron Sújar; Sofia Bayona (Sensors, 2022)

Optimality in noisy importance sampling. - Fernando Llorente 001; Luca Martino; Jesse Read; David Delgado-Gómez (Signal Process., 2022)

Neural lasso: a unifying approach of lasso and neural networks. - David Delgado 001; Ernesto Curbelo; Danae Carreras-García (CoRR, 2023)

Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review. - Fernando Llorente 001; Luca Martino; David Delgado 001; Javier López-Santiago (SIAM Rev., 2023)

Target-aware Bayesian inference via generalized thermodynamic integration. - Fernando Llorente 001; Luca Martino; David Delgado 001 (Comput. Stat., 2023)

Multi-machine preventative maintenance scheduling with imperfect interventions: a restless bandit approach. - Diego Ruiz-Hernández; Jesús María Pinar-Pérez; David Delgado-Gómez (CoRR, 2024)

Assessment of ADHD Subtypes Using Motion Tracking Recognition Based on Stroop Color-Word Tests. - Chao Li; David Delgado-Gómez; Aaron Sújar; Ping Wang 040; Marina Martín-Moratinos; Marcos Bella-Fernández; Antonio Eduardo Masó-Besga; Inmaculada Peñuelas-Calvo; Juan Ardoy-Cuadros; Paula Hernández-Liebo; Hilario Blasco-Fontecilla (Sensors, 2024)

Designing interactive, gamified learning environments: a methodological approach with a case study on statistical quality control. - María J. Gisbert; Aaron Sújar; Gonzalo Nicolas-Barreales; Alejandro Quesada-López; Sofia Bayona; David Delgado-Gómez (Multim. Tools Appl., 2024)

Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals. - Ernesto Curbelo; Luca Martino; Fernando Llorente 001; David Delgado-Gómez (J. Frankl. Inst., 2025)

pyLAIS: A Python package for Layered Adaptive Importance Sampling. - Ernesto Curbelo; Luca Martino; David Delgado-Gómez (SoftwareX, 2025)

Corrigendum to "pyLAIS: A Python package for Layered Adaptive Importance Sampling" [SoftwareX 29 (2025), 101976]. - Ernesto Curbelo; Luca Martino; David Delgado-Gómez (SoftwareX, 2025)

Neural lasso: a unifying approach of lasso and neural networks. - Ernesto Curbelo; David Delgado-Gómez; Danae Carreras (Int. J. Data Sci. Anal., 2025)