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 | 229 | 2007 |
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 | 211 | 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 | 186 | 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 |
An efficient compression code for text databases NR Brisaboa, EL Iglesias, G Navarro, JR Paramá European Conference on Information Retrieval, 468-481, 2003 | 122 | 2003 |
Study of query expansion techniques and their application in the biomedical information retrieval AR Rivas, EL Iglesias, L Borrajo The Scientific World Journal 2014, 2014 | 67 | 2014 |
A survey on deep learning applied to medical images: from simple artificial neural networks to generative models P Celard, EL Iglesias, JM Sorribes-Fdez, R Romero, AS Vieira, L Borrajo Neural Computing and Applications 35 (3), 2291-2323, 2023 | 59 | 2023 |
A linear-RBF multikernel SVM to classify big text corpora R Romero, EL Iglesias, L Borrajo BioMed research international 2015, 2015 | 42 | 2015 |
A HMM text classification model with learning capacity. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal (ISSN: 2255-2863) EL Iglesias, L Borrajo, R Romero Salamanca 3 (3), 2014 | 35 | 2014 |
Improving imbalanced scientific text classification using sampling strategies and dictionaries L Borrajo, R Romero, EL Iglesias, CMR Marey Journal of integrative bioinformatics 8 (3), 90-104, 2011 | 35 | 2011 |
An HMM-based over-sampling technique to improve text classification EL Iglesias, AS Vieira, L Borrajo Expert Systems with Applications 40 (18), 7184-7192, 2013 | 29 | 2013 |
Analyzing the impact of corpus preprocessing on anti-spam filtering software JR Méndez, EL Iglesias, F Fdez-Riverola, F Díaz, JM Corchado Research on Computing Science 17, 129-138, 2005 | 21 | 2005 |
Improving the text classification using clustering and a novel HMM to reduce the dimensionality AS Vieira, L Borrajo, EL Iglesias Computer methods and programs in biomedicine 136, 119-130, 2016 | 20 | 2016 |
TCBR-HMM: An HMM-based text classifier with a CBR system L Borrajo, AS Vieira, EL Iglesias Applied Soft Computing 26, 463-473, 2015 | 18 | 2015 |
LDA filter: A Latent Dirichlet Allocation preprocess method for Weka P Celard, AS Vieira, EL Iglesias, L Borrajo Plos one 15 (11), e0241701, 2020 | 13 | 2020 |
T-HMM: a novel biomedical text classifier based on hidden markov models AS Vieira, EL Iglesias, L Borrajo 8th International Conference on Practical Applications of Computational …, 2014 | 13 | 2014 |
Application papers-tracking concept drift at feature selection stage in spamhunting: An anti-spam instance-based reasoning system JR Mendez Reboredo, F Fernandez-Riverola, EL Iglesias, F Diaz Gomez, ... Lecture Notes in Computer Science 4106, 504-518, 2006 | 11 | 2006 |
MobyDeep: A lightweight CNN architecture to configure models for text classification R Romero, P Celard, JM Sorribes-Fdez, AS Vieira, EL Iglesias, L Borrajo Knowledge-Based Systems 257, 109914, 2022 | 8 | 2022 |
A query expansion method using multinomial naive bayes S Silva, A Seara Vieira, P Celard, EL Iglesias, L Borrajo Applied Sciences 11 (21), 10284, 2021 | 8 | 2021 |