 | 2011 |
| 19 |  | Miguel Reboiro-Jato,
Daniel Glez-Peña,
José Ramón Méndez Reboredo,
Hugo Miguel Santos,
Ricardo Jorge Carreira,
José L. Capelo,
Florentino Fdez-Riverola:
Building Proteomics Applications with the AIBench Application Framework.
PACBB 2011: 99-107 |
| 18 |  | Hugo López-Fernández,
Miguel Reboiro-Jato,
Daniel Glez-Peña,
José Ramón Méndez Reboredo,
Hugo Miguel Santos,
Ricardo Jorge Carreira,
José Luis Capelo-Martínez,
Florentino Fdez-Riverola:
Rapid development of proteomic applications with the AIBench framework.
J. Integrative Bioinformatics 8(3): (2011) |
| 2010 |
| 17 |  | Anália Lourenço,
Rafael Carreira,
Daniel Glez-Peña,
José Ramon Méndez,
Sónia Carneiro,
Luis Mateus Rocha,
Fernando Díaz,
Eugénio C. Ferreira,
Isabel Rocha,
Florentino Fdez-Riverola,
Miguel Rocha:
BioDR: Semantic indexing networks for biomedical document retrieval.
Expert Syst. Appl. 37(4): 3444-3453 (2010) |
| 2009 |
| 16 |  | Anália Lourenço,
Sónia Carneiro,
Eugénio C. Ferreira,
Rafael Carreira,
Luis Mateus Rocha,
Daniel Glez-Peña,
José Ramon Méndez,
Florentino Fdez-Riverola,
Fernando Díaz,
Isabel Rocha,
Miguel Rocha:
Biomedical Text Mining Applied to Document Retrieval and Semantic Indexing.
IWANN (2) 2009: 954-963 |
| 15 |  | Daniel Glez-Peña,
Fernando Díaz,
José Ramon Méndez,
Juan M. Corchado,
Florentino Fdez-Riverola:
An Evolutionary Approach for Sample-Based Clustering on Microarray Data.
IWANN (2) 2009: 972-978 |
| 14 |  | Daniel Glez-Peña,
Fernando Díaz,
Florentino Fdez-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: 103-125 |
| 13 |  | José Ramon Méndez,
Daniel Glez-Peña,
Florentino Fdez-Riverola,
Fernando Díaz,
Juan M. Corchado:
Managing irrelevant knowledge in CBR models for unsolicited e-mail classification.
Expert Syst. Appl. 36(2): 1601-1614 (2009) |
| 2008 |
| 12 |  | José Ramon Méndez,
I. Cid,
Daniel Glez-Peña,
Miguel Rocha,
Florentino Fdez-Riverola:
A Comparative Impact Study of Attribute Selection Techniques on Naïve Bayes Spam Filters.
ICDM 2008: 213-227 |
| 11 |  | I. Cid,
L. R. Janeiro,
José Ramon Méndez,
Daniel Glez-Peña,
Florentino Fdez-Riverola:
The Impact of Noise in Spam Filtering: A Case Study.
ICDM 2008: 228-241 |
| 2007 |
| 10 |  | José Ramon Méndez,
Florentino Fdez-Riverola,
Daniel Glez-Peña,
Fernando Díaz,
Juan M. Corchado:
Relaxing Feature Selection in Spam Filtering by Using Case-Based Reasoning Systems.
EPIA Workshops 2007: 53-62 |
| 9 |  | José Ramon Méndez,
Carlos González,
Daniel Glez-Peña,
Florentino Fdez-Riverola,
Fernando Díaz,
Juan M. Corchado:
Assessing Classification Accuracy in the Revision Stage of a CBR Spam Filtering System.
ICCBR 2007: 374-388 |
| 8 |  | 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.
MLDM 2007: 364-378 |
| 7 |  | Florentino Fdez-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 43(3): 722-736 (2007) |
| 6 |  | Florentino Fdez-Riverola,
Eva Lorenzo Iglesias,
Fernando Díaz,
José Ramon Méndez,
Juan M. Corchado:
Applying lazy learning algorithms to tackle concept drift in spam filtering.
Expert Syst. Appl. 33(1): 36-48 (2007) |
| 5 |  | José Ramon Méndez,
Florentino Fdez-Riverola,
Fernando Díaz,
Juan M. Corchado:
Intelligent systems for detecting and filtering spam e-mail: a survey.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 11(34): 63-81 (2007) |
| 2006 |
| 4 |  | José Ramon Méndez,
Florentino Fernández Riverola,
Eva Lorenzo Iglesias,
Fernando Díaz,
Juan M. Corchado:
Tracking Concept Drift at Feature Selection Stage in SpamHunting: An Anti-spam Instance-Based Reasoning System.
ECCBR 2006: 504-518 |
| 3 |  | José Ramon Méndez,
Florentino Fdez-Riverola,
Fernando Díaz,
Eva Lorenzo Iglesias,
Juan M. Corchado:
A Comparative Performance Study of Feature Selection Methods for the Anti-spam Filtering Domain.
Industrial Conference on Data Mining 2006: 106-120 |
| 2 |  | José Ramón Méndez Reboredo:
Adaptive System with Intelligent Labelling for the Classification of E-mail Spam.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 10(32): 81-84 (2006) |
| 2005 |
| 1 |  | José Ramon Méndez,
Eva Lorenzo Iglesias,
Florentino Fdez-Riverola,
Fernando Díaz,
Juan M. Corchado:
Tokenising, Stemming and Stopword Removal on Anti-spam Filtering Domain.
CAEPIA 2005: 449-458 |