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Publications

JCR Journals

2025

Nogales, A., Maitín, A.M., & García-Tejedor, Á. Best Practices to Train Accurate Deep Learning Models: A General Methodology. International Journal of Advanced Computer Science and Applications.

DOI: https://doi.org/10.20944/preprints202402.1153.v2

Montas-Laracuente, N., Delgado Martos, E., Pesqueira-Calvo, C., Intra Sidola, G., Maitín, A., García-Tejedor, Á. J. & Nogales, A. A Systematic Review of Artificial Intelligence for Capturing Real-World Structures into Building Information Modelling. Journal of Building Engineering. 

DOI: https://doi.org/10.1016/j.jobe.2025.114093

Nogales, A., Garrido, M.C., Guitian, A., Rodriguez-Peralto, J.L., Prados-Villanueva, C., Díaz-Prieto, D., & García-Tejedor, Á. A Hybrid Artificial Intelligence Framework for Melanoma Diagnosis Using Histopathological Images. Technologies.

DOI: https://doi.org/10.3390/technologies13080330

Nogales, A., Sicilia, M. A., & García-Tejedor, Á. J. A domain categorisation of vocabularies based on a deep learning classifier. Journal of Information Science.

DOI: https://doi.org/10.1177/01655515211018170

Nogales, A., Sicilia-Urban, M.A., & García-Barriocanal, E. Measuring vocabulary use in the Linked Data Cloud. Online Information Review.

DOI: https://doi.org/10.1108/OIR-06-2015-0183

Nogales, A., Sicilia, M.A., Sánchez-Alonso, S. & Garcia-Barriocanal, E. Linking from Schema.org microdata to the Web of Linked Data: An empirical assessment. Computer Standards & Interfaces.

DOI: https://doi.org/10.1016/j.csi.2015.12.003

2024

Maitín, A.M., Nogales, A., Sergio Fernández-Rincón, S., Aranguren, E., Cervera-Barba, E., Denizon-Arranz, S., Mateos-Rodríguez, A. & García-Tejedor, Á. Application of Large Language Models in clinical record correction: A comprehensive study on various retraining methods. Journal of American medical informatics association.

DOI: https://10.1093/jamia/ocae302

Maitín, A.M., Nogales, A., Delgado-Martos, E., Intra Sidola, G., Pesqueira Calvo, C., Furnieles, G. & García-Tejedor, Á. Evaluating activation functions in GAN models for virtual inpainting: A path to architectural heritage restoration. Applied Sciences.

DOI: https://doi.org/10.3390/app14166854

Nogales, A., García-Tejedor, A.J., Serrano Vara, J. & Ugalde-Canitrot, A. eDeeplepsy: an artificial neural framework to reveal different brain states in children with epileptic spasms. Epilepsy & Behavior.

DOI: https://doi.org/10.1016/j.yebeh.2024.109744

Nogales, A., Sicilia, M. A., & García-Tejedor, Á. J. A domain categorisation of vocabularies based on a deep learning classifier. Journal of Information Science.

DOI: https://doi.org/10.1177/01655515211018170

Nogales, A., Sicilia-Urban, M.A., & García-Barriocanal, E. Measuring vocabulary use in the Linked Data Cloud. Online Information Review.

DOI: https://doi.org/10.1108/OIR-06-2015-0183

Nogales, A., Sicilia, M.A., Sánchez-Alonso, S. & Garcia-Barriocanal, E. Linking from Schema.org microdata to the Web of Linked Data: An empirical assessment. Computer Standards & Interfaces.

DOI: https://doi.org/10.1016/j.csi.2015.12.003

2023

Nogales, A., Pérez-Lara F. & García-Tejedor, Á.J. Enhancing breast cancer diagnosis with deep learning and evolutionary algorithms: A comparison of approaches using different thermographic imaging treatments. Multimedia Tools and Applications.

DOI: https://doi.org/10.1007/s11042-023-17281-x

Nogales, A., & García-Tejedor, Á.J. (2023). A systematic review of electroencephalography open datasets and their usage with deep learning models. IEEE Access.

DOI: https://doi.org/10.1109/ACCESS.2023.3293421

Nogales, A., Donaher, S. & García-Tejedor, A.J. A deep learning framework for audio restoration using Convolutional/Deconvolutional Deep Autoencoders. Expert systems with applications.

DOI: https://doi.org/10.1016/j.eswa.2023.120586

Nogales, A., Sicilia, M. A., & García-Tejedor, Á. J. A domain categorisation of vocabularies based on a deep learning classifier. Journal of Information Science.

DOI: https://doi.org/10.1177/01655515211018170

Nogales, A., Sicilia-Urban, M.A., & García-Barriocanal, E. Measuring vocabulary use in the Linked Data Cloud. Online Information Review.

DOI: https://doi.org/10.1108/OIR-06-2015-0183

Nogales, A., Sicilia, M.A., Sánchez-Alonso, S. & Garcia-Barriocanal, E. Linking from Schema.org microdata to the Web of Linked Data: An empirical assessment. Computer Standards & Interfaces.

DOI: https://doi.org/10.1016/j.csi.2015.12.003

2022

Nogales, A., García-Tejedor, Á.J., Maitín, A. M., Pérez-Morales, A., Del Castillo, M.D. and Romero, J.P.. BERT learns from electroencephalograms about Parkinson´s Disease: Transformer-based models for aid diagnosis. IEEE Access.

DOI: https://doi.org/10.1109/ACCESS.2022.3201843

Nogales, A., Morón, R. D., & García-Tejedor, Á. J. A comparison of neural and non-neural machine learning models for food safety risk prediction with European Union RASFF data. Food Control.

DOI: https://doi.org/10.1016/j.foodcont.2021.108697

Nogales, A., Sicilia, M. A., & García-Tejedor, Á. J. A domain categorisation of vocabularies based on a deep learning classifier. Journal of Information Science.

DOI: https://doi.org/10.1177/01655515211018170

Nogales, A., Sicilia-Urban, M.A., & García-Barriocanal, E. Measuring vocabulary use in the Linked Data Cloud. Online Information Review.

DOI: https://doi.org/10.1108/OIR-06-2015-0183

Nogales, A., Sicilia, M.A., Sánchez-Alonso, S. & Garcia-Barriocanal, E. Linking from Schema.org microdata to the Web of Linked Data: An empirical assessment. Computer Standards & Interfaces.

DOI: https://doi.org/10.1016/j.csi.2015.12.003

Nogales, A., Sicilia, M.A., Sánchez-Alonso, S. & Garcia-Barriocanal, E. Linking from Schema.org microdata to the Web of Linked Data: An empirical assessment. Computer Standards & Interfaces.

DOI: https://doi.org/10.1016/j.csi.2015.12.003

2016-2021

Nogales, A., Delgado, E., Melchor, Á., & García-Tejedor, Á. ARQGAN: an evaluation of generative adversarial network approaches for automatic virtual inpainting restoration of Greek temples. Expert Systems with Applications Journal.

DOI: https://doi.org/10.1016/j.eswa.2021.115092

Nogales, A., García-Tejedor, Á., Monge, D., Serrano Vara, J. & Antón, C. A survey of deep learning models in medical therapeutic areas. Artificial Intelligence in Medicine.

DOI: https://doi.org/10.1016/j.artmed.2021.102020

Nogales, A., Sicilia, M.A., & García-Barriocanal, E. On the Graph Structure of the Web of Data. International Journal on Semantic Web and Information Systems.

DOI: https://doi.org/10.1177/01655515211018170

Nogales, A., Sicilia, M. A., & García-Tejedor, Á. J. A domain categorisation of vocabularies based on a deep learning classifier. Journal of Information Science.

DOI: https://doi.org/10.1177/01655515211018170

Nogales, A., Sicilia-Urban, M.A., & García-Barriocanal, E. Measuring vocabulary use in the Linked Data Cloud. Online Information Review.

DOI: https://doi.org/10.1108/OIR-06-2015-0183

Nogales, A., Sicilia, M.A., Sánchez-Alonso, S. & Garcia-Barriocanal, E. Linking from Schema.org microdata to the Web of Linked Data: An empirical assessment. Computer Standards & Interfaces.

DOI: https://doi.org/10.1016/j.csi.2015.12.003

Conferences

Delgado-Martos, E., Intra Sidola, G., Pesqueira Calvo, C., Carlevaris, L., Maitín, A.M., Nogales, A., Ramírez, G. and García-Tejedor, A.J. (2024, October). Unveiling hidden patterns: Clustering Mudejar church floor plans using Self-Organizing Maps for architectural analysis. In REpresentation Advances And CHallenges (REAACH), 2024.

Carlevaris, L., Delgado-Martos, E., Intra Sidola, G., Maitín, A.M., Nogales, A., Pesqueira-Calvo, C., Bravo Peña, M., García-Tejedor. Á. J. (2023, October). Architectural recognition through artificial intelligence. A process between the equivocal and the probable. In REpresentation Advances And CHallenges (REAACH), 2023.

Nogales, A., Pérez-Lara, F., Morales, J., & García-Tejedor, Á. J. (2022). How do thermography colors influence breast cancer diagnosis? A hybrid model of convolutional networks with a weighted average algorithm. In Intelligent Systems Conference 2022.

Nogales, A., García-Tejedor, Á. J., Sanz, N. M., & de Dios Alija, T. (2019, June). Competencies in Higher Education: A Feature Analysis with Self-Organizing Maps. In International Workshop on Self-Organizing Maps (pp. 80-89). Springer, Cham.

Nogales, A., Täks, E., & Taveter, K. (2018, September). Ontology Modeling of the Estonian Traffic Act for Self-driving Buses. In Annual International Symposium on Information Management and Big Data (pp. 249-256). Springer, Cham.

Nogales, A., Sicilia, MA. & Jörg, B. (2014). Combining VIVO and Google Scholar data as sources for CERIF Linked Data: a case in the agricultural domain. Procedia Computer Science 33, 266-271.

Nogales, A., Sicilia, MA., García-Barriocanal, E. & Sánchez-Alonso, S. (2013) Exploring the potential for mapping Schema. org microdata and the Web of Linked Data. Research Conference on Metadata and Semantic Research, 266-276.

Chapters

Delgado-Martos, E., Carlevaris, L., Sidola, G. I., Pesqueira-Calvo, C., Nogales, A., Maitín, A. M., & García-Tejedor, Á. J. (2024). Between impossible and probable. Architectural recognition through qualitative evaluation of artificial intelligence response In: Giordano, A., Russo, M., Spallone, R. (eds) Beyond Digital Representation. Digital Innovations in Architecture, Engineering and Construction. Springer, Cham. ICEE index (International): 497

de Dios Alija, T., Nogales, A., García-Tejedor, Á. J. & Sanz, N. M. (2023, June). The influence of Experience, Education, and Preferences in the acquisition of transversal competencies in Psychology. Innovación sin fronteras: una mirada transversal a la educación y la investigación. Dykinson SL. ICEE index (Spain): 758

Delgado-Martos, E., Carlevaris, L., Sidola, G. I., Pesqueira-Calvo, C., Nogales, A., Maitín, A. M., & García-Tejedor, Á. J. (2023). Automatic Virtual Reconstruction of Historic Buildings Through Deep Learning. A Critical Analysis of a Paradigm Shift. In: Giordano, A., Russo, M., Spallone, R. (eds) Beyond Digital Representation. Digital Innovations in Architecture, Engineering and Construction. Springer, Cham. ICEE index (International): 497

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