Elvira Amador-Domínguez
Orcid: 0000-0001-6838-1266Affiliations:
- Universidad Politécnica de Madrid, Spain
According to our database1,
Elvira Amador-Domínguez
authored at least 14 papers
between 2017 and 2024.
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Bibliography
2024
From vision to text: A comprehensive review of natural image captioning in medical diagnosis and radiology report generation.
Medical Image Anal., 2024
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2024) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), 2024
Spanish-Language Plaform for Drug-Disease Evidence Search Based on Scientific Articles.
Proceedings of the Poster Proceedings of the 40th Annual Conference of the Spanish Association for Natural Language Processing 2024 (SEPLN-P 2024) co-located with the 40th International Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), 2024
2023
GEnI: A framework for the generation of explanations and insights of knowledge graph embedding predictions.
Neurocomputing, 2023
2022
2021
An ontology-based deep learning approach for triple classification with out-of-knowledge-base entities.
Inf. Sci., 2021
A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation.
Int. J. Interact. Multim. Artif. Intell., 2021
A hierarchical multi-agent architecture based on virtual identities to explain black-box personalization policies.
Expert Syst. Appl., 2021
2020
CoRR, 2020
2019
Prediction and Decision-Making in Intelligent Environments Supported by Knowledge Graphs, A Systematic Review.
Sensors, 2019
An Intelligent and Autoadaptive System of Virtual Identities Based on Deep Learning for the Analysis of Online Advertising Networks.
Proceedings of the Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection, 2019
An Ontology-Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities.
Proceedings of the Distributed Computing and Artificial Intelligence, 2019
2017
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017