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LaBDA
Víctor Suárez Paniagua

Grupo Labda

Publicaciones

Journals | Conferences

Journals

  • Victor Suarez-Paniagua, Isabel Segura-Bedmar, (2018). Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction, Proceedings of the 11th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO 2017), June, 2018, BMC Bioinformatics, ISSN: 1471-2105, 19, 8, pp: 209, url.

  • Victor Suarez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez, (2017). Exploring Convolutional Neural Networks for Drug-Drug Interaction Extraction, Database The Journal of Biological Databases and Curation, January, 2017, ISSN: 1758-0463, Volume 2017, 1, url.

Conferences

  • Victor Suarez-Paniagua, Isabel Segura-Bedmar, , (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), New Orleans, Louisiana, USA, June, 2018, Association for Computational Linguistics, pp: 793-797, url.

  • Victor Suarez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez, (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, August, 2017, Association for Computational Linguistics, pp: 938-941, pdf.

  • 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, November, 2017, ACM New York, NY, USA, ACM, pp: 8.

  • 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, September, 2016.

  • 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, August, 2016, url.

  • 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, August, 2016, url.

  • Isabel Segura-Bedmar, Victor Suarez-Paniagua, Paloma Martínez, (2015). Exploring Word Embedding for Drug Name Recognition, Sixth Workshop on Health Text Mining and Information Analysis, Lisboa, Portugal, September, 2015, pdf.

  • Isabel Segura-Bedmar, Victor Suarez-Paniagua, Paloma Martínez, (2015). Combining Conditional Random Fields and Word Embeddings for the CHEMDNER-patents task, Proceedings of the Fifth BioCreative Challenge Evaluation Workshop (BIOCREATIVE V), Sevilla, September, 2015, pdf.

  • Victor Suarez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez, (2015). Word Embedding clustering for Disease Named Entity Recognition, Proceedings of the Fifth BioCreative Challenge Evaluation Workshop (BIOCREATIVE V),, Sevilla, Spain, September, 2015, pdf.

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

Universidad Carlos III de Madrid