2009 |
19 | EE | 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 |
2008 |
18 | EE | Daniel Glez-Peña,
Manuel Glez-Bedia,
Fernando Díaz,
Florentino Fernández Riverola:
Multiple-Microarray Analysis and Internet Gathering Information with Application for Aiding Medical Diagnosis in Cancer Research.
IWPACBB 2008: 112-117 |
2007 |
17 | EE | 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 |
16 | EE | 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 |
15 | EE | 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 |
14 | EE | 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) |
13 | EE | 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) |
12 | EE | Florentino Fernández Riverola,
Fernando Díaz,
Juan M. Corchado:
Reducing the Memory Size of a Fuzzy Case-Based Reasoning System Applying Rough Set Techniques.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 37(1): 138-146 (2007) |
2006 |
11 | EE | 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 |
10 | EE | Fernando Díaz,
Florentino Fdez-Riverola,
Daniel Glez-Peña,
Juan M. Corchado:
Using Fuzzy Patterns for Gene Selection and Data Reduction on Microarray Data.
IDEAL 2006: 1087-1094 |
9 | EE | Fernando Díaz,
Florentino Fdez-Riverola,
Daniel Glez-Peña,
Juan M. Corchado:
Applying GCS Networks to Fuzzy Discretized Microarray Data for Tumour Diagnosis.
IDEAL 2006: 1095-1102 |
8 | EE | 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 |
7 | EE | Reyes Pavón,
Fernando Díaz,
M. Victoria Luzón:
An adjustment model in a geometric constraint solving problem.
SAC 2006: 968-973 |
2005 |
6 | EE | 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 |
5 | EE | María Lourdes Borrajo Diz,
Juan M. Corchado,
J. Carlos Yáñez,
Florentino Fdez-Riverola,
Fernando Díaz:
Autonomous Internal Control System for Small to Medium Firms.
ICCBR 2005: 106-121 |
4 | EE | Florentino Fdez-Riverola,
Fernando Díaz,
María Lourdes Borrajo Diz,
J. Carlos Yáñez,
Juan M. Corchado:
Improving Gene Selection in Microarray Data Analysis Using Fuzzy Patterns Inside a CBR System.
ICCBR 2005: 191-205 |
2004 |
3 | EE | Florentino Fdez-Riverola,
Fernando Díaz,
Juan M. Corchado:
Applying Rough Sets Reduction Techniques to the Construction of a Fuzzy Rule Base for Case Based Reasoning.
IBERAMIA 2004: 83-92 |
2 | EE | Florentino Fernández Riverola,
Fernando Díaz,
Juan M. Corchado:
Using Rough Sets Theory and Minimum Description Length Principle to Improve a beta-TSK Fuzzy Revision Method for CBR Systems.
SBIA 2004: 424-433 |
2000 |
1 | EE | Juan F. Gálvez,
Fernando Díaz,
Pilar Carrión,
Angel Garcia:
An Application for Knowledge Discovery Based on a Revision of VPRS Model.
Rough Sets and Current Trends in Computing 2000: 296-303 |