Exploring the Potential for Mapping Schema.org Microdata and the Web of Linked Data. - Alberto Nogales; Miguel-Ángel Sicilia; Elena García-Barriocanal; Salvador Sánchez-Alonso (MTSR, 2013)

Combining VIVO and Google Scholar Data as Sources for CERIF Linked Data: A Case in the Agricultural Domain. - Alberto Nogales; Miguel-Ángel Sicilia; Brigitte Jörg (CRIS, 2014)

Linking from Schema.org microdata to the Web of Linked Data: An empirical assessment. - Alberto Nogales; Miguel-Ángel Sicilia; Salvador Sánchez-Alonso; Elena García-Barriocanal (Comput. Stand. Interfaces, 2016)

Measuring vocabulary use in the Linked Data Cloud. - Alberto Nogales; Miguel-Ángel Sicilia-Urbán; Elena García-Barriocanal (Online Inf. Rev., 2017)

Ontology Modeling of the Estonian Traffic Act for Self-driving Buses. - Alberto Nogales; Ermo Täks; Kuldar Taveter (SIMBig, 2018)

On the Graph Structure of the Web of Data. - Alberto Nogales; Miguel-Ángel Sicilia; Elena García-Barriocanal (Int. J. Semantic Web Inf. Syst., 2018)

Competencies in Higher Education: A Feature Analysis with Self-Organizing Maps. - Alberto Nogales; Álvaro José García-Tejedor; Noemy Martín Sanz; Teresa de Dios Alija (WSOM+, 2019)

Food safety risk prediction with Deep Learning models using categorical embeddings on European Union data. - Alberto Nogales; Rodrigo Díaz Morón; Álvaro J. García-Tejedor (CoRR, 2020)

A light method for data generation: a combination of Markov Chains and Word Embeddings. - Eva Martínez Garcia; Alberto Nogales; Javier Morales; Álvaro J. García-Tejedor (Proces. del Leng. Natural, 2020)

A survey of deep learning models in medical therapeutic areas. - Alberto Nogales; Álvaro J. García-Tejedor; Diana Monge; Juan Serrano Vara; Cristina Anton (Artif. Intell. Medicine, 2021)

ARQGAN: An evaluation of generative adversarial network approaches for automatic virtual inpainting restoration of Greek temples. - Alberto Nogales; Emilio Delgado-Martos; Ángel Melchor; Álvaro J. García-Tejedor (Expert Syst. Appl., 2021)

How Do Thermography Colors Influence Breast Cancer Diagnosis? A Hybrid Model of Convolutional Networks with a Weighted Average Evolutionary Algorithm. - Alberto Nogales; Fernando Pérez-Lara; Javier Morales; Álvaro José García-Tejedor (IntelliSys (2), 2022)

BERT Learns From Electroencephalograms About Parkinson's Disease: Transformer-Based Models for Aid Diagnosis. - Alberto Nogales; Álvaro J. García-Tejedor; Ana María Maitín; Antonio D. Perez-Morales; María Dolores del Castillo Sobrino; Juan Pablo Romero (IEEE Access, 2022)

GEMA: An open-source Python library for self-organizing-maps. - Álvaro J. García-Tejedor; Alberto Nogales (CoRR, 2022)

An open-source Python library for self-organizing-maps. - Álvaro José García-Tejedor; Alberto Nogales (Softw. Impacts, 2022)

A Systematic Review of Electroencephalography Open Datasets and Their Usage With Deep Learning Models. - Alberto Nogales; Álvaro J. García-Tejedor (IEEE Access, 2023)

EEGraph: An open-source Python library for modeling electroencephalograms using graphs. - Ana María Maitín; Alberto Nogales; Pedro Chazarra; Álvaro José García-Tejedor (Neurocomputing, 2023)

Discriminating and understanding brain states in children with epileptic spasms using deep learning and graph metrics analysis of brain connectivity. - Alberto Nogales; Álvaro J. García-Tejedor; Pedro Chazarra; Arturo Ugalde-Canitrot (Comput. Methods Programs Biomed., 2023)

A domain categorisation of vocabularies based on a deep learning classifier. - Alberto Nogales; Miguel-Ángel Sicilia; Álvaro J. García-Tejedor (J. Inf. Sci., 2023)

A deep learning framework for audio restoration using Convolutional/Deconvolutional Deep Autoencoders. - Alberto Nogales; Santiago Donaher; Álvaro J. García-Tejedor (Expert Syst. Appl., 2023)

A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms. - Alberto Nogales; Fernando Gallardo; Miguel Pajares; Javier Martinez Gamez; José Moreno; Álvaro J. García-Tejedor (J. Intell. Inf. Syst., 2023)

A systematic review of the application of deep learning techniques in the physiotherapeutic therapy of musculoskeletal pathologies. - Alberto Nogales; Manuel Rodríguez-Aragón; Álvaro J. García-Tejedor (Comput. Biol. Medicine, 2024)

Enhancing breast cancer diagnosis with deep learning and evolutionary algorithms: A comparison of approaches using different thermographic imaging treatments. - Alberto Nogales; Fernando Pérez-Lara; Álvaro J. García-Tejedor (Multim. Tools Appl., 2024)

Application of large language models in clinical record correction: a comprehensive study on various retraining methods. - Ana María Maitín; Alberto Nogales; Sergio Fernández-Rincón; Enrique Aranguren; Emilio Cervera-Barba; Sophia Denizon-Arranz; Alonso Mateos-Rodríguez; Álvaro J. García-Tejedor (J. Am. Medical Informatics Assoc., 2025)

Discovering the influence of personal features in psychological processes using Artificial Intelligence techniques: the case of COVID19 lockdown in Spain. - Blanca Mellor-Marsa; Alfredo Guitian; Andrew Coney; Berta Padilla; Alberto Nogales (CoRR, 2025)

Benefits of Feature Extraction and Temporal Sequence Analysis for Video Frame Prediction: An Evaluation of Hybrid Deep Learning Models. - Jose M. Sánchez Velázquez; Mingbo Cai; Andrew Coney; Álvaro J. García-Tejedor; Alberto Nogales (CoRR, 2025)

Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach. - Alberto Nogales; Diego Guadalupe; Álvaro J. García-Tejedor (J. Big Data, 2025)