Víctor Suárez-Paniagua

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Convolutional Neural Network

Top Venues

J. Biomed. Informatics

BMC Medical Informatics Decis. Mak.

Publications

Alejo Lopez-Avila, Víctor Suárez-Paniagua
Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models. CoRR (2024)
Alejo Lopez-Avila, Víctor Suárez-Paniagua
Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models. EMNLP (2023)
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu
Ontology-driven and weakly supervised rare disease identification from clinical notes. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Huayu Zhang, Arlene Casey, Imane Guellil, Víctor Suárez-Paniagua, Clare Macrae, Charis Marwick, Honghan Wu, Bruce Guthrie, Beatrice Alex
FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database. Frontiers Digit. Health 5 (2023)
Víctor Suárez-Paniagua, Steven Derby, Tri Kurniawan Wijaya
Multilingual News Location Detection using an Entity-Based Siamese Network with Semi-Supervised Contrastive Learning and Knowledge Base. CoRR (2022)
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma M. Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu
Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes. CoRR (2022)
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. EMBC (2021)
Emma M. Davidson, Michael T. C. Poon, Arlene Casey, Andreas Grivas, Daniel Duma, Hang Dong, Víctor Suárez-Paniagua, Claire Grover, Richard Tobin, Heather Whalley, Honghan Wu, Beatrice Alex, William Whiteley
The reporting quality of natural language processing studies: systematic review of studies of radiology reports. BMC Medical Imaging 21 (1) (2021)
Arlene Casey, Emma M. Davidson, Michael T. C. Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex
A systematic review of natural language processing applied to radiology reports. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Arlene Casey, Emma M. Davidson, Michael T. C. Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex
A Systematic Review of Natural Language Processing Applied to Radiology Reports. CoRR (2021)
Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu
Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation. J. Biomed. Informatics 116 (2021)
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Emma Whitfield, Honghan Wu
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision. CoRR (2021)
Víctor Suárez-Paniagua, Arlene Casey
BERT and Approximate String Matching for Automatic Recognition and Normalization of Professions in Spanish Medical Documents. IberLEF@SEPLN (2021)
Víctor Suárez-Paniagua, Hang Dong, Arlene Casey
A multi-BERT hybrid system for Named Entity Recognition in Spanish radiology reports. CLEF (Working Notes) (2021)
Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu
Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation. CoRR (2020)
Víctor Suárez-Paniagua, Renzo M. Rivera Zavala, Isabel Segura-Bedmar, Paloma Martínez
A two-stage deep learning approach for extracting entities and relationships from medical texts. J. Biomed. Informatics 99 (2019)
Víctor Suárez-Paniagua
VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases. BioNLP-OST@EMNLP-IJNCLP (2019)
Víctor Suárez-Paniagua
VSP at MEDDOCAN 2019 De-Identification of Medical Documents in Spanish with Recurrent Neural Networks. IberLEF@SEPLN (2019)
Víctor Suárez-Paniagua
VSP at eHealth-KD Challenge 2019: Recurrent Neural Networks for Relation Classification in Spanish eHealth Documents. IberLEF@SEPLN (2019)
Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Akiko Aizawa
UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network. SemEval@NAACL-HLT (2018)
Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez
LABDA at TASS-2018 Task 3: Convolutional Neural Networks for Relation Classification in Spanish eHealth documents. TASS@SEPLN (2018)
Víctor Suárez-Paniagua, Isabel Segura-Bedmar
Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction. BMC Bioinform. (8) (2018)
Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez
Exploring convolutional neural networks for drug-drug interaction extraction. Database J. Biol. Databases Curation 2017 (2017)
Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez
LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network. SemEval@ACL (2017)
Víctor Suárez-Paniagua, Isabel Segura-Bedmar
Using Recursive Neural Networks to Detect and Classify Drug-Drug Interactions from Biomedical Texts. ECAI (2016)
Isabel Segura-Bedmar, Víctor Suárez-Paniagua, Paloma Martínez
Exploring Word Embedding for Drug Name Recognition. Louhi@EMNLP (2015)