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ORCIDGláucia M. Bressan
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- affiliation: Universidade Tecnológica Federal do Paraná, Cornélio Procópio, PR, Brazil
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2020 – today
- 2024
[c10]Ana Beatriz Miranda Valentin
, Gláucia Maria Bressan, Elisângela Aparecida da Silva Lizzi, Fabrício Martins Lopes:
Learning Algorithms for Breast Cancer Classification and Diagnosis. OL2A (1) 2024: 83-96- [c9]Elenice Weber Stiegelmeier, Gláucia Maria Bressan:
P-Fuzzy System Applied to Population Dynamics: A Case Study. OL2A (1) 2024: 126-138 - [c8]Ana Beatriz Miranda Valentin, Gláucia Maria Bressan, Leonardo Canuto Junior, Elisângela Aparecida da Silva Lizzi:
Optimized Neural Networks for Breast Cancer Classification Using Gene Expression Data. BSB 2024: 36-46 - [c7]Marcus Vinicius da Silva Rodrigues, João Paulo de Oliveira, Sandriele Aparecida Noriler, Angelo Barreiro Garcia, Ulisses de Pádua Pereira, Ulisses Nunes da Rocha, Admilton Gonçalves de Oliveira Junior, Gláucia Maria Bressan:
Genomic and phylogenetic analysis of plant growth-promoting bacteria. BSB 2024: 131-142 - 2023
- [c6]Gláucia Maria Bressan, Esdras Battosti da Silva, Matheus Henrique Pimenta-Zanon, Elisângela Aparecida da Silva Lizzi, Fábio Sakuray:
Performance of Heuristics for Classifying Leftovers from Cutting Stock Problem. OL2A (2) 2023: 256-268 - 2022
- [c5]Gláucia Maria Bressan, Esdras Battosti da Silva, Matheus Henrique Pimenta-Zanon, Elisângela Aparecida da Silva Lizzi:
Classification of Leftovers from the Stock Cutting Process. OL2A 2022: 327-341 - 2021
- [i1]Matheus Henrique Pimenta-Zanon, Gláucia Maria Bressan, Fabrício Martins Lopes:
Complex Network-Based Approach for Feature Extraction and Classification of Musical Genres. CoRR abs/2110.04654 (2021) - 2020
- [c4]Beatriz Flamia Azevedo, Ana I. Pereira, Gláucia M. Bressan:
An Improvement of Genetic Algorithm based on Dynamic Operators Rates Controlled by the Population Performance. ICORES 2020: 388-394
2000 – 2009
- 2009
- [j2]Gláucia M. Bressan, Vilma A. de Oliveira, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti:
Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop. Eng. Appl. Artif. Intell. 22(4-5): 579-592 (2009) - [c3]Gláucia M. Bressan, Vilma A. de Oliveira, Maurílio Boaventura:
Risk prediction for weed infestation using classification rules. CCA/ISIC 2009: 1798-1803 - 2008
- [j1]Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Vilma A. de Oliveira, Gláucia M. Bressan:
BayesRule: A Markov-Blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers. Int. J. Hybrid Intell. Syst. 5(2): 83-96 (2008) - 2007
- [c2]Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Vilma A. de Oliveira, Gláucia M. Bressan:
Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules. HIS 2007: 192-197 - [c1]Gláucia M. Bressan, Vilma A. de Oliveira, Estevam R. Hruschka Jr., Maria C. Nicoletti:
Biomass Based Weed-Crop Competitiveness Classification Using Bayesian Networks. ISDA 2007: 121-126
Coauthor Index
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