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Mercedes Arguello Casteleiro

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Journal of Biomedical Semantics|June 5, 2016
The Proteasix OntologyMercedes Arguello Casteleiro, Julie Klein, Robert Stevens
Methods in Molecular Biology (Clifton, N.J.)|March 19, 2017
Prediction of Proteases Involved in Peptide GenerationMercedes Arguello Casteleiro, Robert Stevens, Julie Klein
JMIR Medical Informatics|March 19, 2015
Adoption of clinical decision support in multimorbidity: a systematic reviewPaolo Fraccaro, Mercedes Arguello Casteleiro, John Ainsworth, et al.
Journal of Proteomics|March 4, 2017
Unveiling antimicrobial peptide-generating human proteases using PROTEASIXPaulo Bastos, Fábio Trindade, Rita Ferreira, et al.
Frontiers in Veterinary Science|September 6, 2024
Text mining for disease surveillance in veterinary clinical data: part two, training computers to identify features in clinical textHeather Davies, Goran Nenadic, Ghada Alfattni, et al.
Frontiers in Veterinary Science|February 7, 2024
Text mining for disease surveillance in veterinary clinical data: part one, the language of veterinary clinical records and searching for wordsHeather Davies, Goran Nenadic, Ghada Alfattni, et al.
Studies in Health Technology and Informatics|April 21, 2017
A Case Study on Sepsis Using PubMed and Deep Learning for Ontology LearningMercedes Arguello Casteleiro, Diego Maseda Fernandez, George Demetriou, et al.
Journal of Biomedical Semantics|April 14, 2018
Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literatureMercedes Arguello Casteleiro, George Demetriou, Warren Read, et al.
JMIR Medical Informatics|August 8, 2020
Semantic Deep Learning: Prior Knowledge and a Type of Four-Term Embedding Analogy to Acquire Treatments for Well-Known DiseasesMercedes Arguello Casteleiro, Julio Des Diz, Nava Maroto, et al.
Studies in Health Technology and Informatics|February 23, 2026
Low-Code/No-Code AI for Machine Translation: Democratising Generative AI for Blue TransformationMercedes Arguello Casteleiro, Saihong Li, Arsenio Andrades Moreno, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Journal of Biomedical Semantics|June 5, 2016
The Proteasix OntologyMercedes Arguello Casteleiro, Julie Klein, Robert Stevens
Methods in Molecular Biology (Clifton, N.J.)|March 19, 2017
Prediction of Proteases Involved in Peptide GenerationMercedes Arguello Casteleiro, Robert Stevens, Julie Klein
JMIR Medical Informatics|March 19, 2015
Adoption of clinical decision support in multimorbidity: a systematic reviewPaolo Fraccaro, Mercedes Arguello Casteleiro, John Ainsworth, et al.
Journal of Proteomics|March 4, 2017
Unveiling antimicrobial peptide-generating human proteases using PROTEASIXPaulo Bastos, Fábio Trindade, Rita Ferreira, et al.
Frontiers in Veterinary Science|September 6, 2024
Text mining for disease surveillance in veterinary clinical data: part two, training computers to identify features in clinical textHeather Davies, Goran Nenadic, Ghada Alfattni, et al.
Frontiers in Veterinary Science|February 7, 2024
Text mining for disease surveillance in veterinary clinical data: part one, the language of veterinary clinical records and searching for wordsHeather Davies, Goran Nenadic, Ghada Alfattni, et al.
Studies in Health Technology and Informatics|April 21, 2017
A Case Study on Sepsis Using PubMed and Deep Learning for Ontology LearningMercedes Arguello Casteleiro, Diego Maseda Fernandez, George Demetriou, et al.
Journal of Biomedical Semantics|April 14, 2018
Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literatureMercedes Arguello Casteleiro, George Demetriou, Warren Read, et al.
JMIR Medical Informatics|August 8, 2020
Semantic Deep Learning: Prior Knowledge and a Type of Four-Term Embedding Analogy to Acquire Treatments for Well-Known DiseasesMercedes Arguello Casteleiro, Julio Des Diz, Nava Maroto, et al.
Studies in Health Technology and Informatics|February 23, 2026
Low-Code/No-Code AI for Machine Translation: Democratising Generative AI for Blue TransformationMercedes Arguello Casteleiro, Saihong Li, Arsenio Andrades Moreno, et al.
Pageof 2