Bruno M. Nogueira
Orcid: 0000-0002-2401-2423Affiliations:
- Federal University of Mato Grosso do Sul (UFMS), Campo Grande, Brazil
According to our database1,
Bruno M. Nogueira
authored at least 21 papers
between 2006 and 2023.
Collaborative distances:
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Bibliography
2023
One-class learning for fake news detection through multimodal variational autoencoders.
Eng. Appl. Artif. Intell., 2023
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
2022
Mach. Learn., 2022
SeSG: a search string generator for Secondary Studies with hybrid search strategies using text mining.
Empir. Softw. Eng., 2022
2021
Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning.
Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021
A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake News.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
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
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
2015
Uma análise exploratória de tópicos de pesquisa emergentes em Informática na Educação.
Revista Brasileira de Informática na Educ., 2015
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
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