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Jadson Castro Gertrudes
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2020 – today
- 2023
- [j3]Gabriel Corrêa Veríssimo, Simone Queiroz Pantaleão, Philipe de Oliveira Fernandes, Jadson Castro Gertrudes, Thales Kronenberger, Káthia Maria Honório, Vinicius Gonçalves Maltarollo:
MASSA Algorithm: an automated rational sampling of training and test subsets for QSAR modeling. J. Comput. Aided Mol. Des. 37(12): 735-754 (2023) - [c5]João Gabriel Fernandes Zenóbio, Pedro Henrique Lopes Silva, Eduardo José da Silva Luz, Gladston Juliano Prates Moreira, Conrado Aleksander Barbosa Galdino, Jadson Castro Gertrudes:
Reptilerecon: Um Arcabouço para Extração e Análise de Sinais de Lagartos. SBBD 2023: 154-166 - [c4]Gabriel Porto Oliveira, Jadson Castro Gertrudes, Roberta B. Oliveira:
Spending pattern visualization using unsupervised machine learning. SBBD 2023: 167-178 - 2022
- [c3]Sammuel Ramos da Silva, Jadson Castro Gertrudes:
Chaotic genetic bee colony: combining chaos theory and genetic bee algorithm for feature selection in microarray cancer classification. GECCO Companion 2022: 296-299 - 2020
- [j2]Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello:
Correction to: A unified view of density-based methods for semi-supervised clustering and classification. Data Min. Knowl. Discov. 34(6): 1984-1985 (2020) - [i1]Rafael Gomes Mantovani, André Luis Debiaso Rossi, Edesio Alcobaça, Jadson Castro Gertrudes, Sylvio Barbon Junior, André Carlos Ponce de Leon Ferreira de Carvalho:
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters. CoRR abs/2008.00025 (2020)
2010 – 2019
- 2019
- [j1]Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello:
A unified view of density-based methods for semi-supervised clustering and classification. Data Min. Knowl. Discov. 33(6): 1894-1952 (2019) - 2018
- [c2]Francisco de Assis Rodrigues dos Anjos, Jadson Castro Gertrudes, Jörg Sander, Ricardo J. G. B. Campello:
A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies. AusDM 2018: 253-265 - [c1]Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello:
A unified framework of density-based clustering for semi-supervised classification. SSDBM 2018: 11:1-11:12
Coauthor Index
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