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ORCIDDavid Delgado-Gómez
Person information
- affiliation: Charles III University of Madrid, Spain
Other persons with the same name
- David Delgado 0002 — National University of Colombia, Computer Systems and Industrial Engineering, Bogotá, Colombia
- David Delgado 0003 — Universitat Oberta de Catalunya, Barcelona, Spain
- David Delgado 0004 — University of Coimbra, Institute of Systems and Robotics, Portugal
- David Delgado 0005 — University of Southern California, Los Angeles, CA, USA
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2020 – today
- 2024
[j35]Chao Li
, David Delgado-Gómez, Aaron Sújar, 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): 323 (2024)- [i8]Diego Ruiz-Hernández, Jesús María Pinar-Pérez, David Delgado-Gómez:
Multi-machine preventative maintenance scheduling with imperfect interventions: a restless bandit approach. CoRR abs/2401.14055 (2024) - 2023
- [j34]Fernando Llorente, Luca Martino, David Delgado:
Target-aware Bayesian inference via generalized thermodynamic integration. Comput. Stat. 38(4): 2097-2119 (2023) - [j33]Fernando Llorente, Luca Martino, David Delgado, Javier López-Santiago:
Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review. SIAM Rev. 65(1): 3-58 (2023) - [i7]David Delgado, Ernesto Curbelo, Danae Carreras-García:
Neural lasso: a unifying approach of lasso and neural networks. CoRR abs/2309.03770 (2023) - 2022
- [j32]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): 3949 (2022) - [j31]Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez:
Optimality in noisy importance sampling. Signal Process. 194: 108455 (2022) - [c12]David Mendez-Encinas, Aaron Sújar, David Delgado-Gómez:
Assessment of attention through user's performance in a virtual reality game. CEV 2022 - [c11]Fernando Llorente, Ernesto Curbelo, Luca Martino, Pablo M. Olmos, David Delgado:
Safe importance sampling based on partial posteriors and neural variational approximations. EUSIPCO 2022: 2021-2025 - [i6]Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez:
Optimality in Noisy Importance Sampling. CoRR abs/2201.02432 (2022) - 2021
- [j30]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: 103104 (2021) - [j29]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: 674028 (2021) - [j28]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): 38 (2021) - [c10]Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado:
A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design. SSP 2021: 301-305 - [i5]Fernando Llorente, Ernesto Curbelo, Luca Martino, Victor Elvira, David Delgado:
MCMC-driven importance samplers. CoRR abs/2105.02579 (2021) - [i4]Fernando Llorente, Luca Martino, Jessa Read, David Delgado:
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning. CoRR abs/2108.00490 (2021) - 2020
- [j27]Fernando Llorente-Fernández, Luca Martino, Victor Elvira, David Delgado, Javier López-Santiago:
Adaptive Quadrature Schemes for Bayesian Inference via Active Learning. IEEE Access 8: 208462-208483 (2020) - [j26]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): 246-252 (2020) - [j25]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: 9727096:1-9727096:10 (2020) - [j24]Diego Ruiz-Hernández, Jesús María Pinar-Pérez, David Delgado-Gómez:
Multi-machine preventive maintenance scheduling with imperfect interventions: A restless bandit approach. Comput. Oper. Res. 119: 104927 (2020) - [j23]Danae Carreras-García, David Delgado-Gómez, Fernando Llorente-Fernández, Ana Arribas-Gil:
Patient No-Show Prediction: A Systematic Literature Review. Entropy 22(6): 675 (2020) - [j22]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) - [j21]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): 1102-1112 (2020) - [c9]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: 2373-2377 - [i3]Fernando Llorente, Luca Martino, David Delgado, Javier López-Santiago:
Marginal likelihood computation for model selection and hypothesis testing: an extensive review. CoRR abs/2005.08334 (2020) - [i2]Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado, Javier López-Santiago:
Adaptive quadrature schemes for Bayesian inference via active learning. CoRR abs/2006.00535 (2020) - [i1]Fernando Llorente, Luca Martino, David Delgado, Gustau Camps-Valls:
Deep Importance Sampling based on Regression for Model Inversion and Emulation. CoRR abs/2010.10346 (2020)
2010 – 2019
- 2019
- [j20]David Delgado-Gómez, Juan C. Laria, Diego Ruiz-Hernández:
Computerized adaptive test and decision trees: A unifying approach. Expert Syst. Appl. 117: 358-366 (2019) - [j19]Fernando Llorente, Luca Martino, David Delgado:
Parallel Metropolis-Hastings Coupler. IEEE Signal Process. Lett. 26(6): 953-957 (2019) - 2018
- [j18]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: 7353624:1-7353624:7 (2018) - 2017
- [j17]Diego Ruiz-Hernández, Javier Elizalde, David Delgado-Gómez:
Cournot-Stackelberg games in competitive delocation. Ann. Oper. Res. 256(1): 149-170 (2017) - [j16]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): 1756012:1-1756012:15 (2017) - 2016
- [j15]Diego Ruiz-Hernández, David Delgado-Gómez:
The stochastic capacitated branch restructuring problem. Ann. Oper. Res. 246(1-2): 77-100 (2016) - 2015
- [j14]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: 316-324 (2015) - 2014
- [j13]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): 431-439 (2014) - [j12]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): 441-449 (2014) - 2012
- [j11]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: 3-8 (2012) - [j10]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): 932-943 (2012) - 2011
- [j9]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): 165-168 (2011) - [j8]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): 5129-5132 (2011) - [c8]Jens Fagertun, David Delgado-Gómez, Mads Fogtmann Hansen, Rasmus R. Paulsen:
Sparse Similarity-Based Fisherfaces. SCIA 2011: 69-78 - 2010
- [j7]David Delgado-Gómez, Federico Sukno, David Aguado, Carlos Santa Cruz, Antonio Artés-Rodríguez:
Individual identification using personality traits. J. Netw. Comput. Appl. 33(3): 293-299 (2010) - [j6]Sri-Kaushik Pavani, David Delgado-Gómez, Alejandro F. Frangi:
Haar-like features with optimally weighted rectangles for rapid object detection. Pattern Recognit. 43(1): 160-172 (2010)
2000 – 2009
- 2009
- [j5]David Delgado-Gómez, Jens Fagertun, Bjarne K. Ersbøll, Federico Sukno, Alejandro F. Frangi:
Similarity-based Fisherfaces. Pattern Recognit. Lett. 30(12): 1110-1116 (2009) - [c7]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: 91-98 - [c6]Sri-Kaushik Pavani, David Delgado-Gómez, Alejandro F. Frangi:
A Rapidly Trainable and Global Illumination Invariant Object Detection System. CIARP 2009: 877-884 - 2008
- [j4]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): 157-161 (2008) - [c5]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: 691419 - 2007
- [j3]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): 183-193 (2007) - [j2]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): 1012-1018 (2007) - [c4]Line Harder Clemmensen, David Delgado-Gómez, Bjarne K. Ersbøll:
Individual Discriminative Face Recognition Models Based on Subsets of Features. SCIA 2007: 61-71 - 2006
- [j1]David Delgado-Gómez, Jens Michael Carstensen, Bjarne K. Ersbøll:
Collecting highly reproducible images to support dermatological medical diagnosis. Image Vis. Comput. 24(2): 186-191 (2006) - 2004
- [c3]Bjarne K. Ersbøll, Allan Aasbjerg Nielsen, Gabriela Maletti, David Delgado-Gómez:
Analysis of Time-Varying Psoriasis Lesion Image Patterns. ISBI 2004: 448-451 - [c2]David Delgado-Gómez, Allan Aasbjerg Nielsen, Bjarne K. Ersbøll, Gabriela Maletti:
Multi-set Multi-temporal Canonical Analysis of Psoriasis Images. ISBI 2004: 1151-1154 - 2003
- [c1]David Delgado-Gómez, Jens Michael Carstensen, Bjarne K. Ersbøll, Lone Skov, Bo Bang:
Building an Image-Based System to Automatically Score Psoriasis. SCIA 2003: 557-564
Coauthor Index
aka: Fernando Llorente-Fernández
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