David Delgado-Gómez

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 21

Top Topics

Importance Sampling

Top Venues

Comput. Oper. Res.

Expert Syst. Appl.

Publications

Chao Li, David Delgado-Gómez, Aaron Sujar, Ping Wang, Marina Martín-Moratinos, Marcos Bella-Fernández, Antonio Eduardo Masó-Besga, Inmaculada Peñuelas-Calvo, Juan Ardoy-Cuadros, Paula Hernández-Liebo, Hilario Blasco-Fontecilla
Assessment of ADHD Subtypes Using Motion Tracking Recognition Based on Stroop Color-Word Tests. Sensors 24 (2) (2024)
Diego Ruiz-Hernández, Jesús María Pinar-Pérez, David Delgado-Gómez
Multi-machine preventative maintenance scheduling with imperfect interventions: a restless bandit approach. CoRR (2024)
David Delgado-Gómez, Antonio Eduardo Masó-Besga, David Aguado, Victor J. Rubio, Aaron Sújar, Sofia Bayona
Automatic Personality Assessment through Movement Analysis. Sensors 22 (10) (2022)
Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez
Optimality in noisy importance sampling. Signal Process. 194 (2022)
David Mendez-Encinas, Aaron Sújar, David Delgado-Gómez
Assessment of attention through user's performance in a virtual reality game. CEV (2022)
Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez
Optimality in Noisy Importance Sampling. CoRR (2022)
Fernando Llorente, Luca Martino, David Delgado-Gómez, Gustavo Camps-Valls
Deep importance sampling based on regression for model inversion and emulation. Digit. Signal Process. 116 (2021)
Javier Rodríguez-Cuadrado, Juan C. Laria, David Delgado-Gómez
cat.dt: An R package for fast construction of accurate Computerized Adaptive Tests using Decision Trees. R J. 13 (2) (2021)
Juan C. Laria, David Delgado-Gómez, Inmaculada Peñuelas-Calvo, Enrique Baca-García, Rosa E. Lillo
Accurate Prediction of Children's ADHD Severity Using Family Burden Information: A Neural Lasso Approach. Frontiers Comput. Neurosci. 15 (2021)
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
Feasibility of a Virtual Reality-Based Psychoeducational Tool (VRight) for Depressive Patients. Cyberpsychology Behav. Soc. Netw. 23 (4) (2020)
Diego Ruiz-Hernández, Jesús M. Pinar-Pérez, David Delgado-Gómez
Multi-machine preventive maintenance scheduling with imperfect interventions: A restless bandit approach. Comput. Oper. Res. 119 (2020)
Fernando Llorente, Luca Martino, David Delgado-Gómez, Javier López-Santiago
On the computation of marginal likelihood via MCMC for model selection and hypothesis testing. EUSIPCO (2020)
Diego Ruiz-Hernández, David García-Heredia, David Delgado-Gómez, Enrique Baca-García
A probabilistic patient scheduling model for reducing the number of no-shows. J. Oper. Res. Soc. 71 (7) (2020)
Danae Carreras-García, David Delgado-Gómez, Enrique Baca-García, Antonio Artés-Rodríguez
A Probabilistic Patient Scheduling Model with Time Variable Slots. Comput. Math. Methods Medicine 2020 (2020)
Danae Carreras-García, David Delgado-Gómez, Fernando Llorente-Fernández, Ana Arribas-Gil
Patient No-Show Prediction: A Systematic Literature Review. Entropy 22 (6) (2020)
Javier Rodríguez-Cuadrado, David Delgado-Gómez, Juan C. Laria, Sara Rodríguez-Cuadrado
Merged Tree-CAT: A fast method for building precise computerized adaptive tests based on decision trees. Expert Syst. Appl. 143 (2020)
David Delgado-Gómez, Juan C. Laria, Diego Ruiz-Hernández
Computerized adaptive test and decision trees: A unifying approach. Expert Syst. Appl. 117 (2019)
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
WHODAS 2.0 as a Measure of Severity of Illness: Results of a FLDA Analysis. Comput. Math. Methods Medicine 2018 (2018)
David Delgado-Gómez, Diego Ruiz-Hernández
A One-Sample per Individual Face Recognition Algorithm Based on Multiple One-Dimensional Projection Lines. Int. J. Pattern Recognit. Artif. Intell. 31 (7) (2017)
Diego Ruiz-Hernández, Javier Elizalde, David Delgado-Gómez
Cournot-Stackelberg games in competitive delocation. Ann. Oper. Res. 256 (1) (2017)
Diego Ruiz-Hernández, David Delgado-Gómez
The stochastic capacitated branch restructuring problem. Ann. Oper. Res. 246 (1-2) (2016)
Diego Ruiz-Hernández, David Delgado-Gómez, Joaquín López-Pascual
Restructuring bank networks after mergers and acquisitions: A capacitated delocation model for closing and resizing branches. Comput. Oper. Res. 62 (2015)
Sri-Kaushik Pavani, David Delgado-Gómez, Alejandro F. Frangi
Fast training procedure for Viola-Jones type object detectors using Laplacian clutter models. Pattern Anal. Appl. 17 (2) (2014)
Sri-Kaushik Pavani, David Delgado-Gómez, Alejandro F. Frangi
Gaussian weak classifiers based on co-occurring Haar-like features for face detection. Pattern Anal. Appl. 17 (2) (2014)
Sri-Kaushik Pavani, Federico Sukno, David Delgado-Gómez, Constantine Butakoff, Xavier Planes, Alejandro F. Frangi
An Experimental Evaluation of Three Classifiers for Use in Self-Updating Face Recognition Systems. IEEE Trans. Inf. Forensics Secur. 7 (3) (2012)
David Delgado-Gómez, Hilario Blasco-Fontecilla, Federico Sukno, Maria Socorro Ramos-Plasencia, Enrique Baca-García
Suicide attempters classification: Toward predictive models of suicidal behavior. Neurocomputing 92 (2012)
David Delgado-Gómez, Hilario Blasco-Fontecilla, AnaLucia A. Alegria, Teresa Legido-Gil, Antonio Artés-Rodríguez, Enrique Baca-García
Improving the accuracy of suicide attempter classification. Artif. Intell. Medicine 52 (3) (2011)
David Delgado-Gómez, David Aguado, Jorge Lopez-Castroman, Carlos Santa Cruz, Antonio Artés-Rodríguez
Improving sale performance prediction using support vector machines. Expert Syst. Appl. 38 (5) (2011)
Jens Fagertun, David Delgado-Gómez, Mads Fogtmann Hansen, Rasmus R. Paulsen
Sparse Similarity-Based Fisherfaces. SCIA (2011)
Sri-Kaushik Pavani, David Delgado-Gómez, Alejandro F. Frangi
Haar-like features with optimally weighted rectangles for rapid object detection. Pattern Recognit. 43 (1) (2010)
David Delgado-Gómez, Federico Sukno, David Aguado, Carlos Santa Cruz, Antonio Artés-Rodríguez
Individual identification using personality traits. J. Netw. Comput. Appl. 33 (3) (2010)
Sri-Kaushik Pavani, David Delgado-Gómez, Alejandro F. Frangi
Gaussian Weak Classifiers Based on Haar-Like Features with Four Rectangles for Real-time Face Detection. CAIP (2009)
Sri-Kaushik Pavani, David Delgado-Gómez, Alejandro F. Frangi
A Rapidly Trainable and Global Illumination Invariant Object Detection System. CIARP (2009)
David Delgado-Gómez, Jens Fagertun, Bjarne K. Ersbøll, Federico Sukno, Alejandro F. Frangi
Similarity-based Fisherfaces. Pattern Recognit. Lett. 30 (12) (2009)
David Delgado-Gómez, Constantine Butakoff, Bjarne Kjær Ersbøll, William V. Stoecker
Independent Histogram Pursuit for Segmentation of Skin Lesions. IEEE Trans. Biomed. Eng. 55 (1) (2008)
Hrvoje Bogunovic, Alessandro G. Radaelli, Mathieu De Craene, David Delgado-Gómez, Alejandro F. Frangi
Image intensity standardization in 3D rotational angiography and its application to vascular segmentation. Medical Imaging: Image Processing (2008)
David Delgado-Gómez, Line Harder Clemmensen, Bjarne K. Ersbøll, Jens Michael Carstensen
Precise acquisition and unsupervised segmentation of multi-spectral images. Comput. Vis. Image Underst. 106 (2-3) (2007)
Line Harder Clemmensen, David Delgado-Gómez, Bjarne K. Ersbøll
Individual Discriminative Face Recognition Models Based on Subsets of Features. SCIA (2007)
David Delgado-Gómez, Constantine Butakoff, Bjarne K. Ersbøll, Jens Michael Carstensen
Automatic change detection and quantification of dermatological diseases with an application to psoriasis images. Pattern Recognit. Lett. 28 (9) (2007)
David Delgado-Gómez, Jens Michael Carstensen, Bjarne K. Ersbøll
Collecting highly reproducible images to support dermatological medical diagnosis. Image Vis. Comput. 24 (2) (2006)
Bjarne K. Ersbøll, Allan Aasbjerg Nielsen, Gabriela Maletti, David Delgado-Gómez
Analysis of Time-Varying Psoriasis Lesion Image Patterns. ISBI (2004)
David Delgado-Gómez, Allan Aasbjerg Nielsen, Bjarne K. Ersbøll, Gabriela Maletti
Multi-set Multi-temporal Canonical Analysis of Psoriasis Images. ISBI (2004)
David Delgado-Gómez, Jens Michael Carstensen, Bjarne K. Ersbøll, Lone Skov, Bo Bang
Building an Image-Based System to Automatically Score Psoriasis. SCIA (2003)