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)

Gender Differences as Influence Factors to Choose Computer Science as a Professional Career Option. - Adrián Seara Vieira; Maria João Valente Couto (Rev. Iberoam. de Tecnol. del Aprendiz., 2020)

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)