Benchmarking Head Pose Estimation in-the-Wild. - Elvira Amador; Roberto Valle; José Miguel Buenaposada; Luis Baumela (CIARP, 2017)

An Ontology-Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities. - Elvira Amador-Domínguez; Patrick Hohenecker; Thomas Lukasiewicz; Daniel Manrique; Emilio Serrano (DCAI, 2019)

An Intelligent and Autoadaptive System of Virtual Identities Based on Deep Learning for the Analysis of Online Advertising Networks. - Elvira Amador-Domínguez; Emilio Serrano; Juan David Mateos-Nobre; Alfredo Ayala-Muñoz (PAAMS (Workshops), 2019)

Prediction and Decision-Making in Intelligent Environments Supported by Knowledge Graphs, A Systematic Review. - Elvira Amador-Domínguez; Emilio Serrano; Daniel Manrique; Juan F. De Paz (Sensors, 2019)

Drugs4Covid: Drug-driven Knowledge Exploitation based on Scientific Publications. - Carlos Badenes-Olmedo; David Chaves-Fraga; María Poveda-Villalón; Ana Iglesias-Molina; Pablo Calleja 001; Socorro Bernardos; Patricia Martín-Chozas; Alba Fernández-Izquierdo; Elvira Amador-Domínguez; Paola Espinoza-Arias; Luis Pozo-Gilo; Edna Ruckhaus; et al. (CoRR, 2020)

A hierarchical multi-agent architecture based on virtual identities to explain black-box personalization policies. - Elvira Amador-Domínguez; Emilio Serrano; Daniel Manrique (Expert Syst. Appl., 2021)

A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation. - Elvira Amador-Domínguez; Emilio Serrano; Daniel Manrique; Javier Bajo (Int. J. Interact. Multim. Artif. Intell., 2021)

An ontology-based deep learning approach for triple classification with out-of-knowledge-base entities. - Elvira Amador-Domínguez; Emilio Serrano; Daniel Manrique; Patrick Hohenecker; Thomas Lukasiewicz (Inf. Sci., 2021)

Methods for Knowledge-Based Systems and Deep Learning Integration - Elvira Amador-Domínguez (2022)

GEnI: A framework for the generation of explanations and insights of knowledge graph embedding predictions. - Elvira Amador-Domínguez; Emilio Serrano; Daniel Manrique (Neurocomputing, 2023)

LLMs for Ontology Engineering: A landscape of Tasks and Benchmarking challenges. - Daniel Garijo; María Poveda-Villalón; Elvira Amador-Domínguez; Ziyuan Wang; Raúl García-Castro; Óscar Corcho (HGAIS@ISWC, 2024)

Spanish-Language Plaform for Drug-Disease Evidence Search Based on Scientific Articles. - Elvira Amador-Domínguez; Carlos Badenes-Olmedo (SEPLN Posters, 2024)

K-Flares: A K-Adapter Based Approach for the FLARES Challenge. - Joel Pardo; Jiayun Liu; Virginia Ramón-Ferrer; Elvira Amador-Domínguez; Pablo Calleja 001 (IberLEF@SEPLN, 2024)

Neurosymbolic system profiling: A template-based approach. - Elvira Amador-Domínguez; Emilio Serrano; Daniel Manrique (Knowl. Based Syst., 2024)

From vision to text: A comprehensive review of natural image captioning in medical diagnosis and radiology report generation. - Gabriel Reale-Nosei; Elvira Amador-Domínguez; Emilio Serrano (Medical Image Anal., 2024)