Sistema de gestión de bases de datos multimedia en arquitectura cliente/seridor. - Eva Lorenzo Iglesias; Nieves R. Brisaboa; Miguel R. Penabad (JIDBD, 1996)

An Emblem Literature Database on Internet. - Nieves R. Brisaboa; Héctor J. Hernández; Eva Lorenzo Iglesias; Juan-Ramón López; José R. Paramá; Miguel R. Penabad (IADT, 1998)

Entorno de Especificación de Aplicaciones para Bibliotecas Digitales. - Eva Lorenzo Iglesias; Nieves R. Brisaboa; Sebastián Bamonde; Ángeles Saavedra Places (JBIDI, 2000)

A Digital Library Application Generator. - Eva Lorenzo Iglesias; Nieves R. Brisaboa; Miguel R. Penabad; Ángeles Saavedra Places; Francisco J. Rodríguez 002 (NDDL, 2001)

An Efficient Compression Code for Text Databases. - Nieves R. Brisaboa; Eva Lorenzo Iglesias; Gonzalo Navarro 001; José R. Paramá (ECIR, 2003)

Usando técnicas de compresión de textos en bibliotecas digitales. - Eva Lorenzo Iglesias; Nieves R. Brisaboa; José R. Paramá; Antonio Fariña; Gonzalo Navarro 001; María F. Esteller (JBIDI, 2003)

Codificación (s, c)-Densa: optimizando la compresión de texto en lenguaje natural. - Nieves R. Brisaboa; Antonio Fariña; Gonzalo Navarro 001; Eva Lorenzo Iglesias; José R. Paramá; María F. Esteller (JISBD, 2003)

Tokenising, Stemming and Stopword Removal on Anti-spam Filtering Domain. - José Ramón Méndez 001; Eva Lorenzo Iglesias; Florentino Fdez-Riverola; Fernando Díaz 001; Juan M. Corchado (CAEPIA, 2005)

Tracking Concept Drift at Feature Selection Stage in SpamHunting: An Anti-spam Instance-Based Reasoning System. - José Ramón Méndez 001; Florentino Fernández Riverola; Eva Lorenzo Iglesias; Fernando Díaz 001; Juan M. Corchado (ECCBR, 2006)

A Comparative Performance Study of Feature Selection Methods for the Anti-spam Filtering Domain. - José Ramón Méndez 001; Florentino Fdez-Riverola; Fernando Díaz 001; Eva Lorenzo Iglesias; Juan M. Corchado (ICDM, 2006)

SpamHunting: An instance-based reasoning system for spam labelling and filtering. - Florentino Fdez-Riverola; Eva Lorenzo Iglesias; Fernando Díaz 001; José Ramón Méndez 001; Juan M. Corchado (Decis. Support Syst., 2007)

Applying lazy learning algorithms to tackle concept drift in spam filtering. - Florentino Fdez-Riverola; Eva Lorenzo Iglesias; Fernando Díaz 001; José Ramón Méndez 001; Juan M. Corchado (Expert Syst. Appl., 2007)

Applying Text Mining to Search for Protein Patterns. - Pablo Vicente Carrera; Daniel Glez-Peña; Eva Lorenzo Iglesias; Lourdes Borrajo; Reyes Pavón 001; Rosalía Laza; Carmen M. Redondo Marey (IWANN (2), 2009)

Classification of MedLine Documents Using MeSH Terms. - Daniel Glez-Peña; Sira López; Reyes Pavón 001; Rosalía Laza; Eva Lorenzo Iglesias; Lourdes Borrajo (IWANN (2), 2009)

Translation table compression under End-Tagged Dense Code. - Tito Valencia-Requejo; Lorena Otero-Cerdeira; Eva Lorenzo Iglesias; Francisco Javier Rodríguez-Martínez (IUCS, 2010)

Building Biomedical Text Classifiers under Sample Selection Bias. - Rubén Romero; Eva Lorenzo Iglesias; Lourdes Borrajo (DCAI, 2011)

Using Dictionaries for Biomedical Text Classification. - Rubén Romero; Eva Lorenzo Iglesias; Lourdes Borrajo; Carmen M. Redondo Marey (PACBB, 2011)

Improving imbalanced scientific text classification using sampling strategies and dictionaries. - Lourdes Borrajo; Rubén Romero; Eva Lorenzo Iglesias; Carmen M. Redondo Marey (J. Integr. Bioinform., 2011)

Applying Lemur Query Expansion Techniques in Biomedical Information Retrieval. - A. R. Rivas; Lourdes Borrajo; Eva Lorenzo Iglesias; Rubén Romero (DCAI, 2012)

A Comparative Analysis of Balancing Techniques and Attribute Reduction Algorithms. - Rubén Romero; Eva Lorenzo Iglesias; Lourdes Borrajo (PACBB, 2012)

An HMM-based over-sampling technique to improve text classification. - Eva Lorenzo Iglesias; A. Seara Vieira; Lourdes Borrajo (Expert Syst. Appl., 2013)

BioClass: A Tool for Biomedical Text Classification. - Rubén Romero; A. Seara Vieira; Eva Lorenzo Iglesias; Lourdes Borrajo (PACBB, 2014)

T-HMM: A Novel Biomedical Text Classifier Based on Hidden Markov Models. - A. Seara Vieira; Eva Lorenzo Iglesias; Lourdes Borrajo (PACBB, 2014)

A New Dimensionality Reduction Technique Based on HMM for Boosting Document Classification. - A. Seara Vieira; Eva Lorenzo Iglesias; Lourdes Borrajo (PACBB, 2015)

TCBR-HMM: An HMM-based text classifier with a CBR system. - María Lourdes Borrajo Diz; A. Seara Vieira; Eva Lorenzo Iglesias (Appl. Soft Comput., 2015)

An HMM-Based Multi-view Co-training Framework for Single-View Text Corpora. - Eva Lorenzo Iglesias; Adrián Seara Vieira; María Lourdes Borrajo Diz (HAIS, 2016)

Improving the text classification using clustering and a novel HMM to reduce the dimensionality. - A. Seara Vieira; María Lourdes Borrajo Diz; Eva Lorenzo Iglesias (Comput. Methods Programs Biomed., 2016)

LearnSec: A Framework for Full Text Analysis. - Carlos Adriano Gonçalves; Eva Lorenzo Iglesias; Lourdes Borrajo; Rui Camacho; A. Seara Vieira; Célia Talma Gonçalves (HAIS, 2018)

Comparative Study of Feature Selection Methods for Medical Full Text Classification. - Carlos Adriano Gonçalves; Eva Lorenzo Iglesias; Lourdes Borrajo; Rui Camacho; Adrián Seara Vieira; Célia Talma Gonçalves (IWBBIO (2), 2019)

An HMM-based synthetic view generator to improve the efficiency of ensemble systems. - María Lourdes Borrajo Diz; A. Seara Vieira; Eva Lorenzo Iglesias (Log. J. IGPL, 2020)

Improving Short Query Representation in LDA Based Information Retrieval Systems. - Pedro Celard; Eva Lorenzo Iglesias; José Manuel Sorribes-Fdez; Rubén Romero; Adrián Seara Vieira; Lourdes Borrajo (HAIS, 2022)

A Novel Multi-View Ensemble Learning Architecture to Improve the Structured Text Classification. - Carlos Adriano Gonçalves; Adrián Seara Vieira; Célia Talma Gonçalves; Rui Camacho; Eva Lorenzo Iglesias; María Lourdes Borrajo Diz (Inf., 2022)

MobyDeep: A lightweight CNN architecture to configure models for text classification. - Rubén Romero; Pedro Celard; José Manuel Sorribes-Fdez; A. Seara Vieira; Eva Lorenzo Iglesias; María Lourdes Borrajo Diz (Knowl. Based Syst., 2022)

Study on Synthetic Video Generation of Embryo Development. - Pedro Celard; Adrián Seara Vieira; José Manuel Sorribes-Fdez; Rubén Romero; Eva Lorenzo Iglesias; María Lourdes Borrajo Diz (HAIS, 2023)

To Enhance Full-Text Biomedical Document Classification Through Semantic Enrichment. - Carlos Adriano Gonçalves; A. Seara Vieira; Célia Talma Gonçalves; Lourdes Borrajo; Rui Camacho; Eva Lorenzo Iglesias (HAIS, 2023)

A survey on deep learning applied to medical images: from simple artificial neural networks to generative models. - Pedro Celard; Eva Lorenzo Iglesias; José Manuel Sorribes-Fdez; Rubén Romero; A. Seara Vieira; Lourdes Borrajo (Neural Comput. Appl., 2023)

Temporal Development GAN (TD-GAN): Crafting More Accurate Image Sequences of Biological Development. - Pedro Celard; Adrián Seara Vieira; José Manuel Sorribes-Fdez; Eva Lorenzo Iglesias; Lourdes Borrajo (Inf., 2024)

New Metrics and Dataset for Biological Development Video Generation. - Pedro Celard; Eva Lorenzo Iglesias; José Manuel Sorribes-Fdez; Lourdes Borrajo; Adrián Seara Vieira (ACM Trans. Multim. Comput. Commun. Appl., 2025)