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1
Unsupervised instance selection from text streams
Unsupervised instance selection from text streams
Material Type:
Conference Paper 		Add to e-Shelf

Unsupervised instance selection from text streams

Rafael Bonin Ricardo Marcondes Marcacini; Solange Oliveira Rezende; Brazilian Symposium on Databases - SBBD (33. 2013 Recife); Symposium on Knowledge Discovery, Mining and Learning - KDMiLe (1st. 2013 São Carlos)

Journal of Information and Data Management - JIDM Porto Alegre : SBC v. 5, n. 1, p. 114-123, fev. 2014

Porto Alegre SBC 2014

Online access. The library also has physical copies.

2
How to balance financial returns with metalearning for trend prediction
How to balance financial returns with metalearning for trend prediction
Material Type:
Article 		Add to e-Shelf

How to balance financial returns with metalearning for trend prediction

Alvaro Valentim Pereira de Menezes Bandeira Gabriel Monteiro Ferracioli; Moises Rocha dos Santos; Andre Carlos Ponce de Leon Ferreira de Carvalho

Journal of Information and Data Management - JIDM Porto Alegre v. 15, n. 1, p. 142-151, 2024

Porto Alegre 2024

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-3183215 )(GetIt)

3
Two meta-learning approaches for noise filter algorithm recommendation
Two meta-learning approaches for noise filter algorithm recommendation
Material Type:
Article 		Add to e-Shelf

Two meta-learning approaches for noise filter algorithm recommendation

Pedro Borges Pio Adriano Rivolli; Andre Carlos Ponce de Leon Ferreira de Carvalho; Luís Paulo Faina Garcia

Journal of Information and Data Management - JIDM Porto Alegre v. 15, n. 1, p. 132-141, 2024

Porto Alegre 2024

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-3191181 )(GetIt)

4
The impact of representation learning on unsupervised graph neural networks for one-class recommendation
The impact of representation learning on unsupervised graph neural networks for one-class recommendation
Material Type:
Article 		Add to e-Shelf

The impact of representation learning on unsupervised graph neural networks for one-class recommendation

Marcos Paulo Silva Gôlo Leonardo Gonçalves de Moraes; Rudinei Goularte; Ricardo Marcondes Marcacini

Journal of Information and Data Management - JIDM Porto Alegre v. 15, n. 1, p. 112-122, 2024

Porto Alegre 2024

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-3191139 )(GetIt)

5
Empirical comparison of EEG signal classification techniques through genetic programming-based AutoML an extended study
Empirical comparison of EEG signal classification techniques through genetic programming-based AutoML an extended study
Material Type:
Article 		Add to e-Shelf

Empirical comparison of EEG signal classification techniques through genetic programming-based AutoML an extended study

Icaro M Miranda Claus Aranha; Andre Carlos Ponce de Leon Ferreira de Carvalho; Luís Paulo Faina Garcia

Journal of Information and Data Management - JIDM Porto Alegre v. 15, n. 1, p. 175-185, 2024

Porto Alegre 2024

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-3191677 )(GetIt)

6
Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks
Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks
Material Type:
Article 		Add to e-Shelf

Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks

Ivone P Matsuno Rafael G Rossi; Ricardo Marcondes Marcacini; Solange Oliveira Rezende

Journal of Information and Data Management - JIDM Porto Alegre : SBC v. 7, n. 2, p. 141-154, Aug. 2016

Porto Alegre 2016

Online access. The library also has physical copies.

7
FeatSet+ visual features extracted from public image datasets
FeatSet+ visual features extracted from public image datasets
Material Type:
Article 		Add to e-Shelf

FeatSet+ visual features extracted from public image datasets

Mirela Teixeira Cazzolato Lucas de Carvalho Scabora; Guilherme Felipe Zabot; Marco Antonio Gutierrez; Caetano Traina Junior; Agma Juci Machado Traina

Journal of Information and Data Management - JIDM Porto Alegre v. 13, n. 1, p. 33-48, Aug. 2022

Porto Alegre 2022

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-3089893 )(GetIt)

8
Legal document segmentation and labeling through named entity recognition approaches
Legal document segmentation and labeling through named entity recognition approaches
Material Type:
Article 		Add to e-Shelf

Legal document segmentation and labeling through named entity recognition approaches

Gabriel Mendes Ciriatico Guimarães Felipe Xavier Barbosa da Silva; Lucas de Almeida Bandeira Macêdo; Victor Hugo França Lisboa; Ricardo Marcondes Marcacini; Andrei Lima Queiroz; Vinicius Ruela Pereira Borges; Thiago de Paulo Faleiros; Luís Paulo Faina Garcia

Journal of Information and Data Management - JIDM Porto Alegre v. 15, n. 1, p. 123-131, 2024

Porto Alegre 2024

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-3191158 )(GetIt)

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