Guillermo López-García

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Natural Language Processing

Subcellular Localization

Maximum Entropy Classifier

Top Venues

Publications

Fernando Gallego, Guillermo López-García, Luis Gascó Sánchez, Martin Krallinger, Francisco J. Veredas
ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish. CoRR (2024)
Francisco J. Veredas, Fernando Gallego, Guillermo López-García, Nuria Ribelles, Emilio Alba, José M. Jerez
Artificial Intelligence for Natural Language Processing of Clinical Text in Spanish for Real-World-Data Analysis (Text2RWD Project). SEPLN (Projects and Demonstrations) (2024)
Fernando Gallego, Guillermo López-García, Luis Gascó Sánchez, Martin Krallinger, Francisco J. Veredas
ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish. ICCS (5) (2024)
Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas
Explainable clinical coding with in-domain adapted transformers. J. Biomed. Informatics 139 (2023)
Guillermo López-García, Francisco J. Moreno-Barea, Héctor Mesa, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas
Named Entity Recognition for De-identifying Real-World Health Records in Spanish. ICCS (3) (2023)
Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas
Detection of Tumor Morphology Mentions in Clinical Reports in Spanish Using Transformers. IWANN (1) (2021)
Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas
Transformers for Clinical Coding in Spanish. IEEE Access 9 (2021)
Guillermo López-García, José M. Jerez, Francisco J. Veredas
ICB-UMA at CLEF e-Health 2020 Task 1: Automatic ICD-10 coding in Spanish with BERT. CLEF (Working Notes) (2020)
Guillermo López-García, José M. Jerez, Francisco José Veredas
ICB-UMA at CANTEMIST 2020: Automatic ICD-O Coding in Spanish with BERT. IberLEF@SEPLN (2020)
Guillermo López-García, José M. Jerez, Leonardo Franco, Francisco J. Veredas
A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders. IWANN (1) (2019)
Guillermo López-García, José M. Jerez, Daniel Urda, Francisco J. Veredas
MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins. IJCNN (2019)