Bruno M. Nogueira

According to our database, Bruno M. Nogueira authored at least 14 papers between 2006 and 2020.

Collaborative distances:

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

2020

TextCSN: a semi-supervised approach for text clustering using pairwise constraints and convolutional siamese network.

Lucas Akayama Vilhagra, Eraldo Rezende Fernandes, Bruno Magalhães Nogueira

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Machine Learning for Suicidal Ideation Identification on Twitter for the Portuguese Language.

Vinícios Faustino de Carvalho, Bianca Giacon, Carlos Nascimento, Bruno Magalhães Nogueira

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2017

Integrating distance metric learning and cluster-level constraints in semi-supervised clustering.

Bruno Magalhães Nogueira, Yuri Karan Benevides Tomas, Ricardo Marcondes Marcacini

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Constrained Hierarchical Clustering for News Events.

Ronaldo Florence, Bruno M. Nogueira, Ricardo M. Marcacini

Proceedings of the 21st International Database Engineering & Applications Symposium, 2017

Learning a Fast Bipartite Ranker for Text Documents Using Lexicographical Rankers and ROC Curves.

Lucas de Souza Rodrigues, Edson Takashi Matsubara, Bruno Magalhães Nogueira

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

2016

A multidimensional data model for the analysis of learning management systems under different perspectives.

Vanessa Araujo Borges, Bruno Magalhães Nogueira, Ellen Francine Barbosa

Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016

2013

Agrupamento hierárquico semissupervisionado ativo baseado em confiança e sua aplicação para extração de hierarquias de tópicos a partir de coleções de documentos.

Bruno Magalhães Nogueira

PhD thesis, 2013

Comparing relational and non-relational algorithms for clustering propositional data.

Robson Motta, Alneu de Andrade Lopes, Bruno M. Nogueira, Solange Oliveira Rezende, Alípio Mário Jorge, Maria Cristina Ferreira de Oliveira

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2012

Hierarchical confidence-based active clustering.

Bruno M. Nogueira, Alípio Mário Jorge, Solange Oliveira Rezende

Proceedings of the ACM Symposium on Applied Computing, 2012

HCAC: Semi-supervised Hierarchical Clustering Using Confidence-Based Active Learning.

Bruno M. Nogueira, Alípio Mário Jorge, Solange Oliveira Rezende

Proceedings of the Discovery Science - 15th International Conference, 2012

2007

Comparison of Classifiers Efficiency on Missing Values Recovering: Application in a Marketing Database with Massive Missing Data.

Bruno M. Nogueira, Tadeu R. A. Santos, Luis Enrique Zárate

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006

Techniques for Missing Value Recovering in Imbalanced Databases: Application in a Marketing Database with Massive Missing Data.

Luis Enrique Zárate, Bruno Magalhães Nogueira, Tadeu Renato André Santos, Mark Alan Junho Song

Proceedings of the IEEE International Conference on Systems, 2006

SOPHIANN: A Tool for Extraction Knowledge Rules from ANN Previously Trained A Case Study.

Mark A. J. Song, Luis Enrique Zárate, Sérgio M. Dias, A. Alvarez, B. Soares, Bruno M. Nogueira, Renato Vimieiro, Tadeu R. A. Santos, Newton Vieira

Proceedings of the Eighteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2006), 2006

Techniques for Training Sets Selection in the Representation of a Thermosiphon System Via ANN.

Luis Enrique Zárate, Elizabeth Marques Duarte Pereira, Leonardo A. R. Oliveira, Victor P. Gil, Tadeu R. A. Santos, Bruno M. Nogueira

Proceedings of the International Joint Conference on Neural Networks, 2006