A Simplification of the Theory of Neural Groups Selection for Adaptive Control. - S. Lobo; Álvaro J. García-Tejedor; R. Rodríguez-Galán; Luis López; Ángel García-Crespo (ECAL, 1995)

A Tool for Time Management in the New European Higher Education System. - Olga Peñalba; Álvaro J. García-Tejedor; Yolanda Cerezo; J. Andrés Álvarez (CSEDU (1), 2009)

Open Educational Resources in E-Learning: Standards and Environment. - Ricardo J. Rejas-Muslera; Álvaro J. García-Tejedor; Olga Peñalba Rodriguez (Int. J. Open Source Softw. Process., 2010)

Q-BAT: A Customizable Videogame for Education. - Olga Peñalba; Antonio Cerezo; Alejo Silos; Álvaro J. García-Tejedor (CSEDU (1), 2012)

A Literature Review of Serious Games for Intellectual Disabilities. - Ana R. Cano; Álvaro J. García-Tejedor; Baltasar Fernández-Manjón (EC-TEL, 2015)

Highlights in the Literature Available in Serious Games for Intellectual Disabilities. - Ana R. Cano; Álvaro J. García-Tejedor; Baltasar Fernández-Manjón (ICWL, 2015)

Downtown, a Subway Adventure: Using Learning Analytics to Improve the Development of a Learning Game for People with Intellectual Disabilities. - Ana R. Cano; Baltasar Fernández-Manjón; Álvaro J. García-Tejedor (ICALT, 2016)

GLAID: Designing a Game Learning Analytics Model to Analyze the Learning Process in Users with Intellectual Disabilities. - Ana R. Cano; Baltasar Fernández-Manjón; Álvaro J. García-Tejedor (SGAMES, 2016)

Using game learning analytics for validating the design of a learning game for adults with intellectual disabilities. - Ana R. Cano; Baltasar Fernández-Manjón; Álvaro J. García-Tejedor (Br. J. Educ. Technol., 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)

Autonomic Management Architecture for Multi-HVAC Systems in Smart Buildings. - José Aguilar 001; Alberto Garces-Jimenez; Nuria Gallego-Salvador; José Antonio Gutiérrez de Mesa; José Manuel Gómez-Pulido; Álvaro José García-Tejedor (IEEE Access, 2019)

Game Analytics Evidence-Based Evaluation of a Learning Game for Intellectual Disabled Users. - Ana R. Cano; Álvaro J. García-Tejedor; Cristina Alonso-Fernández; Baltasar Fernández-Manjón (IEEE Access, 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)

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)