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A. Seara Vieira
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2020 – today
- 2024
- [j9]Pedro Celard, Adrián Seara Vieira, José Manuel Sorribes-Fdez, Eva Lorenzo Iglesias, Lourdes Borrajo:
Temporal Development GAN (TD-GAN): Crafting More Accurate Image Sequences of Biological Development. Inf. 15(1): 12 (2024) - 2023
- [j8]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): 2291-2323 (2023) - [c9]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: 554-565 - [c8]Pedro Celard, Adrián Seara Vieira, José Manuel Sorribes-Fdez, Rubén Romero, Eva Lorenzo Iglesias, María Lourdes Borrajo Diz:
Study on Synthetic Video Generation of Embryo Development. HAIS 2023: 623-634 - 2022
- [j7]Carlos Adriano Gonçalves, Adrián Seara Vieira, Célia Talma Gonçalves, Rui Camacho, Eva Lorenzo Iglesias, María Lourdes Borrajo Diz:
A Novel Multi-View Ensemble Learning Architecture to Improve the Structured Text Classification. Inf. 13(6): 283 (2022) - [j6]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: 109914 (2022) - [c7]Pedro Celard, Eva Lorenzo Iglesias, José Manuel Sorribes-Fdez, Rubén Romero, Adrián Seara Vieira, Lourdes Borrajo:
Improving Short Query Representation in LDA Based Information Retrieval Systems. HAIS 2022: 111-122 - 2020
- [j5]Adrián Seara Vieira, Maria João Valente Couto:
Gender Differences as Influence Factors to Choose Computer Science as a Professional Career Option. Rev. Iberoam. de Tecnol. del Aprendiz. 15(3): 205-210 (2020) - [j4]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): 4-18 (2020)
2010 – 2019
- 2019
- [c6]Carlos Adriano Gonçalves, Eva Lorenzo Iglesias, Lourdes Borrajo, Rui Camacho, Adrián Seara Vieira, Célia Talma Gonçalves:
Comparative Study of Feature Selection Methods for Medical Full Text Classification. IWBBIO (2) 2019: 550-560 - 2018
- [c5]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: 502-513 - 2016
- [j3]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: 119-130 (2016) - [c4]Eva Lorenzo Iglesias, Adrián Seara Vieira, María Lourdes Borrajo Diz:
An HMM-Based Multi-view Co-training Framework for Single-View Text Corpora. HAIS 2016: 66-78 - 2015
- [j2]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: 463-473 (2015) - [c3]A. Seara Vieira, Eva Lorenzo Iglesias, Lourdes Borrajo:
A New Dimensionality Reduction Technique Based on HMM for Boosting Document Classification. PACBB 2015: 69-77 - 2014
- [c2]A. Seara Vieira, Eva Lorenzo Iglesias, Lourdes Borrajo:
T-HMM: A Novel Biomedical Text Classifier Based on Hidden Markov Models. PACBB 2014: 225-234 - [c1]Rubén Romero, A. Seara Vieira, Eva Lorenzo Iglesias, Lourdes Borrajo:
BioClass: A Tool for Biomedical Text Classification. PACBB 2014: 243-251 - 2013
- [j1]Eva Lorenzo Iglesias, A. Seara Vieira, Lourdes Borrajo:
An HMM-based over-sampling technique to improve text classification. Expert Syst. Appl. 40(18): 7184-7192 (2013)
Coauthor Index
aka: Lourdes Borrajo
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