Victor Suarez Paniagua (Publications)

2019

Victor Suarez Paniagua, Renzo Mauricio Rivera Zavala, Isabel Segura Bedmar, Paloma Martínez Fernández. (2019). A two-stage deep learning approach for extracting entities and relationships from medical texts. Journal of Biomedical Informatics. 99. Elsevier, 1532-0480. 2019, Noviembre. https://doi.org/10.1016/j.jbi.2019.103285. [Computer Science, Interdisciplinary Applications, 2.95, Q2].

Victor Suarez Paniagua, Isabel Segura Bedmar, Paloma Martínez Fernández. (2018). Labda at tass-2018 task 3: Convolutional neural networks for relation classification in spanish ehealth documents. TASS 2018. Sevilla, Spain. 2018, Septiembre. 71-76.
Victor Suarez Paniagua, Isabel Segura Bedmar, Akiko Aizawa. (2018). UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network. Proceedings of The 12th International Workshop on Semantic Evaluation - SemEval 2018. New Orleans, USA. 2018, Agosto. 793-797.

Victor Suarez Paniagua, Isabel Segura Bedmar. (2017). Evaluation of Pooling Operations in Convolutional Architectures for Drug-Drug Interaction Extraction. Proceedings of 26th ACM International Conference on Information and Knowledge Management (CIKM). Singapore, Singapore. 2017, Noviembre. ACM. 8.
Victor Suarez Paniagua, Isabel Segura Bedmar, Paloma Martínez Fernández. (2017). LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network. Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval). Vancouver, Canada. 2017, Agosto. Association for Computational Linguistics, 938-941. URL del artículo

Victor Suarez Paniagua, Isabel Segura Bedmar, Paloma Martínez Fernández. (2017). Exploring Convolutional Neural Networks for Drug-Drug Interaction Extraction. Database The Journal of Biological Databases and Curation. Volume 2017, (1). 1758-0463. 2017, Enero. URL del artículo

Victor Suarez Paniagua. (2016). Aproximacion al Aprendizaje Profundo para Extraccion de Relaciones en textos biomedicos. XXXII Congreso Internacional de la Sociedad Española del Procesamiento del Lenguaje Natural (SEPLN 2016). Salamanca, España. 2016, Septiembre.
Victor Suarez Paniagua, Isabel Segura Bedmar. (2016). Using Recursive Neural Networks to detect and classify drug-drug interactions from biomedical texts. 22nd European Conference on Artificial Intelligence (ECAI 2016). The Hague, Holland. 2016, Agosto. URL del artículo
Victor Suarez Paniagua, Isabel Segura Bedmar. (2016). Extraction of Drug-Drug Interactions by Recursive Matrix-Vector Spaces. 6th International Workshop on Combinations of Intelligent Methods and Applications. The Hague, Holland. 2016, Agosto. URL del artículo

Isabel Segura Bedmar, Victor Suarez Paniagua, Paloma Martínez Fernández. (2015). Combining Conditional Random Fields and Word Embeddings for the CHEMDNER-patents task. Proceedings of the Fifth BioCreative Challenge Evaluation Workshop (BIOCREATIVE V). Sevilla. 2015, Septiembre. URL del artículo
Victor Suarez Paniagua, Isabel Segura Bedmar, Paloma Martínez Fernández. (2015). Word Embedding clustering for Disease Named Entity Recognition. Proceedings of the Fifth BioCreative Challenge Evaluation Workshop (BIOCREATIVE V),. Sevilla, Spain. 2015, Septiembre. URL del artículo
Isabel Segura Bedmar, Victor Suarez Paniagua, Paloma Martínez Fernández. (2015). Exploring Word Embedding for Drug Name Recognition. Sixth Workshop on Health Text Mining and Information Analysis. Lisboa, Portugal. 2015, Septiembre. URL del artículo

Rafael Hernandez Murcia, Victor Suarez Paniagua. (2013). Bird identification from continuous audio recordings. Proc. of first int. wkp of Machine Learning for Bioacoustics ICML4B joint to ICML. Atlanta, USA. 2013, Junio. Ed. H. Glotin et al, 979-10-90821. 90-91. URL del artículo