Applying lazy learning algorithms to tackle concept drift in spam filtering F Fdez-Riverola, EL Iglesias, F Díaz, JR Méndez, JM Corchado Expert Systems with Applications 33 (1), 36-48, 2007 | 231 | 2007 |
gene‐CBR: A CASE‐BASED REASONIG TOOL FOR CANCER DIAGNOSIS USING MICROARRAY DATA SETS F Díaz, F Fdez‐Riverola, JM Corchado Computational Intelligence 22 (3‐4), 254-268, 2006 | 218 | 2006 |
A comparative performance study of feature selection methods for the anti-spam filtering domain JR Méndez, F Fdez-Riverola, F Díaz, EL Iglesias, JM Corchado Advances in Data Mining. Applications in Medicine, Web Mining, Marketing …, 2006 | 212 | 2006 |
Tokenising, stemming and stopword removal on anti-spam filtering domain JR Méndez, EL Iglesias, F Fdez-Riverola, F Díaz, JM Corchado Current Topics in Artificial Intelligence: 11th Conference of the Spanish …, 2006 | 191 | 2006 |
Reducing the memory size of a fuzzy case-based reasoning system applying rough set techniques F Fernandez-Riverola, F Díaz, JM Corchado IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2006 | 185 | 2006 |
Tracking concept drift at feature selection stage in spamhunting: An anti-spam instance-based reasoning system JR Méndez, F Fdez-Riverola, EL Iglesias, F Díaz, JM Corchado Advances in Case-Based Reasoning: 8th European Conference, ECCBR 2006 …, 2006 | 161 | 2006 |
SpamHunting: An instance-based reasoning system for spam labelling and filtering F Fdez-Riverola, EL Iglesias, F Díaz, JR Méndez, JM Corchado Decision Support Systems 43 (3), 722-736, 2007 | 158 | 2007 |
geneCBR: a translational tool for multiple-microarray analysis and integrative information retrieval for aiding diagnosis in cancer research D Glez-Peña, F Díaz, JM Hernández, JM Corchado, F Fdez-Riverola BMC bioinformatics 10, 1-8, 2009 | 134 | 2009 |
Improving gene selection in microarray data analysis using fuzzy patterns inside a cbr system F Fdez-Riverola, F Díaz, ML Borrajo, JC Yáñez, JM Corchado Case-Based Reasoning Research and Development: 6th International Conference …, 2005 | 121 | 2005 |
Autonomous internal control system for small to medium firms ML Borrajo, JM Corchado, JC Yáñez, F Fdez-Riverola, F Díaz Case-Based Reasoning Research and Development: 6th International Conference …, 2005 | 119 | 2005 |
Applying rough sets reduction techniques to the construction of a fuzzy rule base for case based reasoning F Fdez-Riverola, F Díaz, JM Corchado Ibero-American Conference on Artificial Intelligence, 83-92, 2004 | 119 | 2004 |
Using fuzzy patterns for gene selection and data reduction on microarray data F Díaz, F Fdez-Riverola, D Glez-Peña, JM Corchado Intelligent Data Engineering and Automated Learning–IDEAL 2006: 7th …, 2006 | 103 | 2006 |
Assessing classification accuracy in the revision stage of a cbr spam filtering system JR Méndez, C González, D Glez-Peña, F Fdez-Riverola, F Díaz, ... International Conference on Case-Based Reasoning, 374-388, 2007 | 73 | 2007 |
Assuring the authenticity of northwest Spain white wine varieties using machine learning techniques S Gómez-Meire, C Campos, E Falqué, F Díaz, F Fdez-Riverola Food Research International 60, 230-240, 2014 | 68 | 2014 |
Automatic parameter tuning with a Bayesian case-based reasoning system. A case of study R Pavón, F Díaz, R Laza, V Luzón Expert Systems with Applications 36 (2), 3407-3420, 2009 | 68 | 2009 |
Managing irrelevant knowledge in CBR models for unsolicited e-mail classification JR Méndez, D Glez-Peña, F Fdez-Riverola, F Díaz, JM Corchado Expert Systems with Applications 36 (2), 1601-1614, 2009 | 66 | 2009 |
Using Rough Sets Theory and Minimum Description Length Principle to Improve a β-TSK Fuzzy Revision Method for CBR Systems F Fdez-Riverola, F Díaz, JM Corchado Advances in Artificial Intelligence–SBIA 2004: 17th Brazilian Symposium on …, 2004 | 65 | 2004 |
AIBench: a rapid application development framework for translational research in biomedicine D Glez-Peña, M Reboiro-Jato, P Maia, M Rocha, F Díaz, F Fdez-Riverola Computer methods and programs in biomedicine 98 (2), 191-203, 2010 | 55 | 2010 |
Applying gcs networks to fuzzy discretized microarray data for tumour diagnosis F Díaz, F Fdez-Riverola, D Glez-Peña, JM Corchado Intelligent Data Engineering and Automated Learning–IDEAL 2006: 7th …, 2006 | 55 | 2006 |
Fuzzy patterns and GCS networks to clustering gene expression data D Glez-Pena, F Díaz, F Fdez-Riverola, JR Méndez, JM Corchado Fuzzy Systems in Bioinformatics and Computational Biology, 103-125, 2009 | 53 | 2009 |