Bruno M. Nogueira

According to our database1, Bruno M. Nogueira authored at least 14 papers between 2006 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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In proceedings 
Article 
PhD thesis 
Other 

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Online presence:

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Bibliography

2020
TextCSN: a semi-supervised approach for text clustering using pairwise constraints and convolutional siamese network.
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.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2017
Integrating distance metric learning and cluster-level constraints in semi-supervised clustering.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Constrained Hierarchical Clustering for News Events.
Proceedings of the 21st International Database Engineering & Applications Symposium, 2017

Learning a Fast Bipartite Ranker for Text Documents Using Lexicographical Rankers and ROC Curves.
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.
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.
PhD thesis, 2013

Comparing relational and non-relational algorithms for clustering propositional data.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2012
Hierarchical confidence-based active clustering.
Proceedings of the ACM Symposium on Applied Computing, 2012

HCAC: Semi-supervised Hierarchical Clustering Using Confidence-Based Active Learning.
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.
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.
Proceedings of the IEEE International Conference on Systems, 2006

SOPHIANN: A Tool for Extraction Knowledge Rules from ANN Previously Trained A Case Study.
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.
Proceedings of the International Joint Conference on Neural Networks, 2006


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