An Implementation of a Trading Service for Building Open and Interoperable DT Component Applications. - Carmelo Maturana; Antonio Jesús Fernández-García; Luis Iribarne (PAAMS (Workshops), 2011)

TvCSL: An XML-Based Language for the Specification of TV-Component Applications. - Jesús Vallecillos; Antonio Jesús Fernández-García; Javier Criado; Luis Iribarne (WSKS, 2011)

A Web Services Infrastructure for the Management of Mashup Interfaces. - Jesús Vallecillos; Javier Criado; Antonio Jesús Fernández-García; Nicolás Padilla; Luis Iribarne (ICSOC Workshops, 2015)

Evolving Mashup Interfaces Using a Distributed Machine Learning and Model Transformation Methodology. - Antonio Jesús Fernández-García; Luis Iribarne; Antonio Corral; James Z. Wang 001 (OTM Workshops, 2015)

Optimally Storing the User Interaction in Mashup Interfaces Within a Relational Database. - Antonio Jesús Fernández-García; Luis Iribarne; Antonio Corral; Javier Criado; James Z. Wang 001 (ICWE Workshops, 2016)

Stigma-Stop a Serious Game against the Stigma in Mental Disorders. - Jose A. Piedra-Fernández; Adolfo J. Cangas; Juan J. Ojeda-Castelo; Diego Cangas; Antonio Jesús Fernández-García (VS-GAMES, 2016)

A Comparison of Feature Selection Methods to Optimize Predictive Models Based on Decision Forest Algorithms for Academic Data Analysis. - Antonio Jesús Fernández-García; Luis Iribarne; Antonio Corral; Javier Criado (WorldCIST (1), 2018)

A flexible data acquisition system for storing the interactions on mashup user interfaces. - Antonio Jesús Fernández-García; Luis Iribarne; Antonio Corral; Javier Criado; James Z. Wang 001 (Comput. Stand. Interfaces, 2018)

A recommender system for component-based applications using machine learning techniques. - Antonio Jesús Fernández-García; Luis Iribarne; Antonio Corral; Javier Criado; James Z. Wang 001 (Knowl. Based Syst., 2019)

A microservice-based architecture for enhancing the user experience in cross-device distributed mashup UIs with multiple forms of interaction. - Antonio Jesús Fernández-García; Luis Iribarne; Antonio Corral; Javier Criado; James Z. Wang 001 (Univers. Access Inf. Soc., 2019)

Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision. - Antonio Jesús Fernández-García; Roberto Rodríguez-Echeverría; Juan Carlos Preciado; José María Conejero; Fernando Sánchez-Figueroa (IEEE Access, 2020)

A model-driven engineering approach for the service integration of IoT systems. - Darwin Alulema; Javier Criado; Luis Iribarne; Antonio Jesús Fernández-García; Rosa Ayala (Clust. Comput., 2020)

A Real-Life Machine Learning Experience for Predicting University Dropout at Different Stages Using Academic Data. - Antonio Jesús Fernández-García; Juan Carlos Preciado; Francisco Javier Melchor González; Roberto Rodríguez-Echeverría; José María Conejero; Fernando Sánchez-Figueroa (IEEE Access, 2021)

Towards the use of Data Engineering, Advanced Visualization techniques and Association Rules to support knowledge discovery for public policies. - José María Conejero; Juan Carlos Preciado; Antonio Jesús Fernández-García; Alvaro E. Prieto; Roberto Rodríguez-Echeverría (Expert Syst. Appl., 2021)

Matching user queries in natural language with Cyber-Physical Systems using deep learning through a Transformer approach. - Juan Alberto Llopis; Antonio Jesús Fernández-García; Javier Criado; Luis Iribarne (INISTA, 2022)

A hybrid multidimensional Recommender System for radio programs. - Antonio Jesús Fernández-García; Roberto Rodríguez-Echeverría; Juan Carlos Preciado; Jorge Perianez-Pascual; Juan D. Gutiérrez (Expert Syst. Appl., 2022)

CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making. - Antonio Jesús Fernández-García; Juan Carlos Preciado; Alvaro E. Prieto; Fernando Sánchez-Figueroa; Juan D. Gutiérrez (Int. J. Interact. Multim. Artif. Intell., 2022)

Semantic Similarity Between Medium-Sized Texts. - Jacobo Farray Rodríguez; Antonio Jesús Fernández-García; Elena Verdú (MEDES, 2023)

SI4IoT: A methodology based on models and services for the integration of IoT systems. - Darwin Alulema; Javier Criado; Luis Iribarne; Antonio Jesús Fernández-García; Rosa Ayala (Future Gener. Comput. Syst., 2023)

A deep learning model for natural language querying in Cyber-Physical Systems. - Juan Alberto Llopis; Antonio Jesús Fernández-García; Javier Criado; Luis Iribarne; Rosa Ayala; James Z. Wang 001 (Internet Things, 2023)

Advancing precision in medical image segmentation: A performance analysis of loss functions for COVID-19 lung infection segmentation in computed tomography images. - Emilio Delgado; Roberto Rodríguez-Echeverría; Antonio Jesús Fernández-García; Juan D. Gutiérrez; Miguel Ángel Suero Rodrigo (IET Image Process., 2024)

A data model for enabling deep learning practices on discovery services of cyber-physical systems. - Juan Alberto Llopis; Antonio Jesús Fernández-García; Javier Criado; Luis Iribarne; Antonio Corral (Softw. Pract. Exp., 2024)