Smooth-CAR mixed models for spatial count data. - Dae-Jin Lee; María Durbán (Comput. Stat. Data Anal., 2009)

Efficient two-dimensional smoothing with PP-spline ANOVA mixed models and nested bases. - Dae-Jin Lee; María Durbán; Paul H. C. Eilers (Comput. Stat. Data Anal., 2013)

Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm. - María Xosé Rodríguez-Álvarez; Dae-Jin Lee; Thomas Kneib; María Durbán; Paul H. C. Eilers (Stat. Comput., 2015)

On the estimation of variance parameters in non-standard generalised linear mixed models: application to penalised smoothing. - María Xosé Rodríguez-Álvarez; María Durbán; Dae-Jin Lee; Paul H. C. Eilers (Stat. Comput., 2019)

Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks. - Fernando García-García; Dae-Jin Lee; Francisco J. Mendoza-Garcés; Sofía Irigoyen-Miró; María J. Legarreta-Olabarrieta; Susana García-Gutierrez; Inmaculada Arostegui (Comput. Methods Programs Biomed., 2023)

A Bimodal Extension of the Beta-Binomial Distribution with Applications. - Jimmy Reyes; Josu Najera-Zuloaga; Dae-Jin Lee; Jaime Arrué; Yuri A. Iriarte (Axioms, 2024)

Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods. - Fernando García-García; Dae-Jin Lee; Francisco J. Mendoza-Garcés; Susana García-Gutierrez (Comput. Methods Programs Biomed., 2024)

Genetic algorithms applied to translational strategy in metabolic-dysfunction associated steatohepatitis (MASH). Learning from mouse models. - Ibon Martínez-Arranz; Cristina Alonso; Rebeca Mayo; Itziar Mincholé; José M. Mato; Dae-Jin Lee (Comput. Methods Programs Biomed., 2024)

Cost-Sensitive Ordinal Classification Methods to Predict SARS-CoV-2 Pneumonia Severity. - Fernando García-García; Dae-Jin Lee; Pedro Pablo España Yandiola; Isabel Urrutia Landa; Joaquín Martínez-Minaya; Miren Hayet-Otero; Mónica Nieves Ermecheo; José María Quintana; Rosario Menéndez; Antoni Torres; Rafael Zalacain Jorge (IEEE J. Biomed. Health Informatics, 2024)

On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulations. - Ander García; Dariel Hernández-Delfin; Dae-Jin Lee; Marco Ellero (Simul. Model. Pract. Theory, 2025)

Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin America. - Andrea Cremaschi; Dae-Jin Lee; Manuele Leonelli (CoRR, 2025)

Deep-SITAR: A SITAR-Based Deep Learning Framework for Growth Curve Modeling via Autoencoders. - María Alejandra Hernández; Oscar Rodriguez; Dae-Jin Lee (CoRR, 2025)

Understanding support for AI regulation: A Bayesian network perspective. - Andrea Cremaschi; Dae-Jin Lee; Manuele Leonelli (CoRR, 2025)