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First name:	José Ramon
Last name:	Méndez
DBLP:	05/4007
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	Daniel Glez-Peña, Fernando Díaz, José Ramon Méndez, Juan M. Corchado, Florentino Fernández Riverola. An Evolutionary Approach for Sample-Based Clustering on Microarray Data.	Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II 2009	(0)	2009
	Anália Lourenço, Sónia Carneiro, Eugénio C. Ferreira, Rafael Carreira, Luis Mateus Rocha, Daniel Glez-Peña, José Ramon Méndez, Florentino Fernández Riverola, Fernando Díaz, Isabel Rocha, Miguel Rocha. Biomedical Text Mining Applied to Document Retrieval and Semantic Indexing.	Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II 2009	(0)	2009
	José Ramon Méndez, Daniel Glez-Peña, Florentino Fernández Riverola, Fernando Díaz, Juan M. Corchado. Managing irrelevant knowledge in CBR models for unsolicited e-mail classification.	Expert Syst. Appl. 2009, Volume 36	(0)	2009
	Daniel Glez-Peña, Fernando Díaz, Florentino Fernández Riverola, José Ramon Méndez, Juan M. Corchado. Fuzzy Patterns and GCS Networks to Clustering Gene Expression Data.	Fuzzy Systems in Bioinformatics and Computational Biology 2009, Volume 242	(0)	2009
	José Ramon Méndez, I. Cid, Daniel Glez-Peña, Miguel Rocha, Florentino Fernández Riverola. A Comparative Impact Study of Attribute Selection Techniques on Naïve Bayes Spam Filters.	Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects, 8th Industrial Conference, ICDM 2008, Leipzig, Germany, July 16-18, 2008, Proceedings 2008	(0)	2008
	I. Cid, L. R. Janeiro, José Ramon Méndez, Daniel Glez-Peña, Florentino Fernández Riverola. The Impact of Noise in Spam Filtering: A Case Study.	Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects, 8th Industrial Conference, ICDM 2008, Leipzig, Germany, July 16-18, 2008, Proceedings 2008	(0)	2008
	José Ramon Méndez, Florentino Fernández Riverola, Daniel Glez-Peña, Fernando Díaz, Juan M. Corchado. Relaxing Feature Selection in Spam Filtering by Using Case-Based Reasoning Systems.	Progress in Artificial Intelligence, 13th Portuguese Conference on Aritficial Intelligence, EPIA 2007, Workshops: GAIW, AIASTS, ALEA, AMITA, BAOSW, BI, CMBSB, IROBOT, MASTA, STCS, and TEMA, Guimarães, Portugal, December 3-7, 2007, Proceedings 2007	(0)	2007
	José Ramon Méndez, Carlos González, Daniel Glez-Peña, Florentino Fernández Riverola, Fernando Díaz, Juan M. Corchado. Assessing Classification Accuracy in the Revision Stage of a CBR Spam Filtering System.	Case-Based Reasoning Research and Development, 7th International Conference on Case-Based Reasoning, ICCBR 2007, Belfast, Northern Ireland, UK, August 13-16, 2007, Proceedings 2007	(0)	2007
	José Ramon Méndez, B. Corzo, Daniel Glez-Peña, Florentino Fernández Riverola, Fernando Díaz. Analyzing the Performance of Spam Filtering Methods When Dimensionality of Input Vector Changes.	Machine Learning and Data Mining in Pattern Recognition, 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings 2007	(0)	2007
	Florentino Fernández Riverola, Eva Lorenzo Iglesias, Fernando Díaz, José Ramon Méndez, Juan M. Corchado. SpamHunting: An instance-based reasoning system for spam labelling and filtering.	Decision Support Systems 2007, Volume 43	(0)	2007

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