A. Seara Vieira

According to our database, A. Seara Vieira authored at least 18 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

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

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

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

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

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

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

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

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

Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

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

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

2019

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

Proceedings of the Bioinformatics and Biomedical Engineering, 2019

2018

LearnSec: A Framework for Full Text Analysis.

Carlos Adriano Gonçalves, Eva Lorenzo Iglesias, Lourdes Borrajo, Rui Camacho, A. Seara Vieira, Célia Talma Gonçalves

Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

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

An HMM-Based Multi-view Co-training Framework for Single-View Text Corpora.

Eva Lorenzo Iglesias, Adrián Seara Vieira, María Lourdes Borrajo Diz

Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

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

A New Dimensionality Reduction Technique Based on HMM for Boosting Document Classification.

A. Seara Vieira, Eva Lorenzo Iglesias, Lourdes Borrajo

Proceedings of the 9th International Conference on Practical Applications of Computational Biology and Bioinformatics, 2015

2014

T-HMM: A Novel Biomedical Text Classifier Based on Hidden Markov Models.

A. Seara Vieira, Eva Lorenzo Iglesias, Lourdes Borrajo

Proceedings of the 8th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2014

BioClass: A Tool for Biomedical Text Classification.

Rubén Romero, A. Seara Vieira, Eva Lorenzo Iglesias, Lourdes Borrajo

Proceedings of the 8th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2014

2013

An HMM-based over-sampling technique to improve text classification.

Eva Lorenzo Iglesias, A. Seara Vieira, Lourdes Borrajo

Expert Syst. Appl., 2013