M. Arguello Casteleiro, C. Martínez Costa, J. Des-Diz, M.J. Fernandez-Prieto, C. Wroe, D. Maseda-Fernandez, G. Demetriou, G. Nenadic, J. Keane, S. Schulz and R. Stevens (Dec 2017). Experiments to create ontology-based disease models for diabetic retinopathy from different biomedical resources. In Proceedings of Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2017). CEUR Vol.
M. Arguello Casteleiro, D. Maseda-Fernandez, G. Demetriou, W. Read, M.J. Fernandez-Prieto, J. Des-Diz, G. Nenadic, J. Keane, and R. Stevens (April 2017). A case study on Sepsis using PubMed and Deep Learning for Ontology Learning. In Proceedings of Informatics for Health 2017. In "Studies in Health Technology and Informatics" by IOS Press.
M. Arguello Casteleiro, M.J. Fernandez-Prieto, G. Demetriou, N. Maroto, W. Read, D. Maseda-Fernandez, J. Des-Diz, G. Nenadic, J. Keane, and R. Stevens. (Dec 2016). Ontology Learning with Deep Learning: a case study on Patient Safety using PubMed. In Proceedings of Semantic Web Applications and Tools for the Life Sciences (SWAT4LS 2016). CEUR Vol.
M. Arguello Casteleiro, G. Demetriou, W.J. Read, M.J. Fernandez-Prieto, D. Maseda-Fernandez, G. Nenadic, J. Klein, J.A. Keane, R. Stevens. (Sept 2016). Deep Learning meets Semantic Web: A feasibility study with the Cardiovascular Disease Ontology and PubMed citations. In Proceedings of the 7th Workshop on Ontologies and Data in Life Sciences, organized by the GI Workgroup Ontologies in Biomedicine and Life Sciences (OBML). CEUR Vol. 1692.
M. Arguello-Casteleiro, R. Stevens, D. Maseda-Fernandez, M.J. Fernandez-Prieto, J.J. Des-Diz, C. Wroe, G. Demetriou, D. A. Singleton, E. Arsevska, P.J. Noble, P.H. Jones, J. Dukes-McEwan, A.D. Radford, J. Keane, and G. Nenadic (Feb 2018). Can a Semantic Deep Learning approach gain insights for One Health? A case study on heart failure. Submitted to HealTAC-2018: Unlocking Evidence Contained in Healthcare Free-text.
SGAI workshop at Peter House, Cambridge (UK)
Using gensim for LSA and LDA. Generating word embeddings with Skip-gram and CBOW.
Creating ontologies with Protégé and querying them in SPARQL. Live demo: sysVASC Proteasix. Demo: Two case studies about Ontology Learning with Skip-gram and CBOW.