Helyane Bronoski Borges

According to our database, Helyane Bronoski Borges authored at least 16 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Dimensionality Reduction for Hierarchical Multi-Label Classification: A Systematic Mapping Study.

Raimundo Osvaldo Vieira, Helyane Bronoski Borges

J. Univers. Comput. Sci., January, 2024

2023

RMT: A Semi-Automated Tool for Refactoring Design Patterns.

Yasmin Riemer, Pedro Magnus Pedroso Nogueira, Simone Nasser Matos, Helyane Bronoski Borges

Proceedings of the XXXVII Brazilian Symposium on Software Engineering, 2023

2021

A Systematic Mapping of Serious Games for Oral Health.

Rafael de Andrade Pereira, Vinicius Schultz Garcia da Luz, Simone Nasser Matos, Rui Pedro Lopes, Helyane Bronoski Borges

Proceedings of the 13th International Conference on Computer Supported Education, 2021

A Systematic Mapping on Machine Learning Algorithms and Gamification Applied to Education.

Vinicius Schultz Garcia da Luz, Ezequiel Gueiber, Simone Nasser Matos, Helyane Bronoski Borges, Guataçara dos Santos Junior, Rui Pedro Lopes

Proceedings of the 13th International Conference on Computer Supported Education, 2021

2017

An Adaptation of the ML-kNN Algorithm to Predict the Number of Classes in Hierarchical Multi-label Classification.

Thissiany Beatriz Almeida, Helyane Bronoski Borges

Proceedings of the Modeling Decisions for Artificial Intelligence, 2017

2014

Image processing of intestinal mucosa.

Igor Cataneo Silveira, Helyane Bronoski Borges, Geraldo Ranthum

Proceedings of the International Conference on Audio, 2014

2013

An evaluation of global-model hierarchical classification algorithms for hierarchical classification problems with single path of labels.

Helyane Bronoski Borges, Carlos Nascimento Silla Jr., Júlio César Nievola

Comput. Math. Appl., 2013

2012

Classificador hierárquico multirrótulo usando uma rede neural competitiva.

Helyane Bronoski Borges

PhD thesis, 2012

Comparing the dimensionality reduction methods in gene expression databases.

Helyane Bronoski Borges, Júlio C. Nievola

Expert Syst. Appl., 2012

Multi-Label Hierarchical Classification using a Competitive Neural Network for protein function prediction.

Helyane Bronoski Borges, Júlio C. Nievola

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Hierarchical classification using a Competitive Neural Network.

Helyane Bronoski Borges, Júlio C. Nievola

Proceedings of the Eighth International Conference on Natural Computation, 2012

2009

Gene Selection from Microarray Data.

Helyane Bronoski Borges, Júlio C. Nievola

Proceedings of the Intelligent Text Categorization and Clustering, 2009

Dimensionality Reduction in Gene Expression Database through the Random Projection Method.

Helyane Bronoski Borges, Júlio C. Nievola

Proceedings of the International Conference on Machine Learning and Applications, 2009

2007

Feature Selection as a Preprocessing Step for Classification in Gene Expression Data.

Helyane Bronoski Borges, Júlio C. Nievola

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Gene-finding as an Attribute Selection Task.

Helyane Bronoski Borges, Júlio C. Nievola

Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

2005

Attribute selection methods comparison for classification of diffuse large B-cell lymphoma.

Júlio C. Nievola, Helyane Bronoski Borges

Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005