A. Seara Vieira

11 papers Misc 5Journal 6

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

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz