A. Seara Vieira

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 8

Top Topics

Biomedical Text

Text Classification

Hidden Markov Models

Top Venues

Neural Comput. Appl.

Publications

Pedro Celard, Eva Lorenzo Iglesias, José Manuel Sorribes-Fdez, Rubén Romero, A. Seara Vieira, Lourdes Borrajo
A survey on deep learning applied to medical images: from simple artificial neural networks to generative models. Neural Comput. Appl. 35 (3) (2023)
Carlos Adriano Gonçalves, A. Seara Vieira, Célia Talma Gonçalves, Lourdes Borrajo, Rui Camacho, Eva Lorenzo Iglesias
To Enhance Full-Text Biomedical Document Classification Through Semantic Enrichment. HAIS (2023)
Rubén Romero, Pedro Celard, José Manuel Sorribes-Fdez, A. Seara Vieira, Eva Lorenzo Iglesias, María Lourdes Borrajo Diz
MobyDeep: A lightweight CNN architecture to configure models for text classification. Knowl. Based Syst. 257 (2022)
María Lourdes Borrajo Diz, A. Seara Vieira, Eva Lorenzo Iglesias
An HMM-based synthetic view generator to improve the efficiency of ensemble systems. Log. J. IGPL 28 (1) (2020)
Carlos Adriano Gonçalves, Eva Lorenzo Iglesias, Lourdes Borrajo, Rui Camacho, A. Seara Vieira, Célia Talma Gonçalves
LearnSec: A Framework for Full Text Analysis. HAIS (2018)
A. Seara Vieira, María Lourdes Borrajo Diz, Eva Lorenzo Iglesias
Improving the text classification using clustering and a novel HMM to reduce the dimensionality. Comput. Methods Programs Biomed. 136 (2016)
A. Seara Vieira, Eva Lorenzo Iglesias, Lourdes Borrajo
A New Dimensionality Reduction Technique Based on HMM for Boosting Document Classification. PACBB (2015)
María Lourdes Borrajo Diz, A. Seara Vieira, Eva Lorenzo Iglesias
TCBR-HMM: An HMM-based text classifier with a CBR system. Appl. Soft Comput. 26 (2015)
A. Seara Vieira, Eva Lorenzo Iglesias, Lourdes Borrajo
T-HMM: A Novel Biomedical Text Classifier Based on Hidden Markov Models. PACBB (2014)
R. Romero, A. Seara Vieira, Eva Lorenzo Iglesias, Lourdes Borrajo
BioClass: A Tool for Biomedical Text Classification. PACBB (2014)
Eva Lorenzo Iglesias, A. Seara Vieira, Lourdes Borrajo
An HMM-based over-sampling technique to improve text classification. Expert Syst. Appl. 40 (18) (2013)