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Eva Lorenzo Iglesias
Eva Lorenzo Iglesias
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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
2292007
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
2112006
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
1862006
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
1612006
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
1582007
An efficient compression code for text databases
NR Brisaboa, EL Iglesias, G Navarro, JR Paramá
European Conference on Information Retrieval, 468-481, 2003
1222003
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
672014
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
542023
A linear-RBF multikernel SVM to classify big text corpora
R Romero, EL Iglesias, L Borrajo
BioMed research international 2015, 2015
422015
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
352014
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
352011
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
292013
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
212016
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
212005
TCBR-HMM: An HMM-based text classifier with a CBR system
L Borrajo, AS Vieira, EL Iglesias
Applied Soft Computing 26, 463-473, 2015
182015
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
132014
LDA filter: A Latent Dirichlet Allocation preprocess method for Weka
P Celard, AS Vieira, EL Iglesias, L Borrajo
Plos one 15 (11), e0241701, 2020
122020
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
112006
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
82022
Learnsec: A framework for full text analysis
C Gonçalves, EL Iglesias, L Borrajo, R Camacho, A Seara Vieira, ...
Hybrid Artificial Intelligent Systems: 13th International Conference, HAIS …, 2018
82018
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