Diego Maseda-Fernandez

According to our database, Diego Maseda-Fernandez authored at least 9 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Judgment Day: Symbolic AI versus Neuro-Symbolic AI in a Usability Study with UK Junior Doctors.

Mercedes Argüello Casteleiro, Chloe Henson, Manoj Kulshrestha, Diego Maseda-Fernandez, Julio Des Diz, Carlos Sevillano Torrado, Nava Maroto, Maria Jesus Fernandez Prieto, Timothy Furmston, Chris Wroe, John A. Keane, Robert Stevens

Proceedings of the 16th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2025), 2025

2023

Text-based phenotyping with Semantic Deep Learning: setting up experiments for women's health.

Mercedes Argüello Casteleiro, Niamh Joyce, Nava Maroto, Maria Jesus Fernandez Prieto, Timothy Furmston, Diego Maseda-Fernandez, Phillip Lord, Chris Wroe, John A. Keane, Ying Cheong, Robert Stevens

Proceedings of the 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2023), 2023

2022

MetaMap versus BERT Models with Explainable Active Learning: Ontology-Based Experiments with Prior Knowledge for COVID-19.

Mercedes Argüello Casteleiro, Chloe Henson, Nava Maroto, Saihong Li, Julio Des-Diz, Maria Jesus Fernandez Prieto, Simon Peters, Timothy Furmston, Carlos Sevillano Torrado, Diego Maseda-Fernandez, Manoj Kulshrestha, John A. Keane, Robert Stevens, Chris Wroe

Proceedings of the 13th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2022

2021

Named Entity Recognition and Relation Extraction for COVID-19: Explainable Active Learning with Word2vec Embeddings and Transformer-Based BERT Models.

Mercedes Argüello Casteleiro, Nava Maroto, Chris Wroe, Carlos Sevillano Torrado, Chloe Henson, Jose Julio Des Diz, Maria Jesus Fernandez Prieto, Thomas Furmston, Diego Maseda-Fernandez, Manoj Kulshrestha, Robert Stevens, John A. Keane, Simon Peters

Proceedings of the Artificial Intelligence XXXVIII, 2021

2019

Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes.

Mercedes Argüello Casteleiro, Robert Stevens, Jose Julio Des Diz, Chris Wroe, Maria Jesus Fernandez Prieto, Nava Maroto, Diego Maseda-Fernandez, George Demetriou, Simon Peters, Peter-J. Noble, Phil H. Jones, Jo Dukes-McEwan, Alan David Radford, John A. Keane, Goran Nenadic

J. Biomed. Semant., 2019

2018

Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature.

Mercedes Argüello Casteleiro, George Demetriou, Warren J. Read, Maria Jesus Fernandez Prieto, Nava Maroto, Diego Maseda-Fernandez, Goran Nenadic, Julie Klein, John A. Keane, Robert Stevens

J. Biomed. Semant., 2018

2017

Experiments to Create Ontology-based Disease Models for Diabetic Retinopathy from Different Biomedical Resources.

Mercedes Argüello Casteleiro, Catalina Martínez-Costa, Jose Julio Des Diz, Maria Jesus Fernandez Prieto, Chris Wroe, Diego Maseda-Fernandez, George Demetriou, Goran Nenadic, John A. Keane, Stefan Schulz, Robert Stevens

Proceedings of the 10th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4LS 2017), 2017

2016

Ontology Learning with Deep Learning: a Case Study on Patient Safety Using PubMed.

Mercedes Argüello Casteleiro, Maria Jesus Fernandez Prieto, George Demetriou, Nava Maroto, Warren J. Read, Diego Maseda-Fernandez, Jose Julio Des Diz, Goran Nenadic, John A. Keane, Robert Stevens

Proceedings of the 9th International Conference Semantic Web Applications and Tools for Life Sciences, 2016

Deep Learning meets Semantic Web: A feasibility study with the Cardiovascular Disease Ontology and PubMed citations.

Mercedes Argüello Casteleiro, George Demetriou, Warren J. Read, Maria Jesus Fernandez Prieto, Diego Maseda-Fernandez, Goran Nenadic, Julie Klein, John A. Keane, Robert Stevens

Proceedings of the 7th Workshop on Ontologies and Data in Life Sciences, 2016