Techniques for Training Sets Selection in the Representation of a Thermosiphon System Via ANN. - Luis E. Zárate; Elizabeth Marques Duarte Pereira; Leonardo A. R. Oliveira; Victor P. Gil; Tadeu R. A. Santos; Bruno M. Nogueira 001 (IJCNN, 2006)

SOPHIANN: A Tool for Extraction Knowledge Rules from ANN Previously Trained A Case Study. - Mark A. J. Song; Luis E. Zárate; Sérgio M. Dias; Ana Alvarez; Bruno Soares; Bruno M. Nogueira 001; Renato Vimieiro; Tadeu R. A. Santos; Newton Vieira (SEKE, 2006)

Techniques for Missing Value Recovering in Imbalanced Databases: Application in a Marketing Database with Massive Missing Data. - Luis E. Zárate; Bruno Magalhães Nogueira 001; Tadeu Renato André Santos; Mark Alan Junho Song (SMC, 2006)

Comparison of Classifiers Efficiency on Missing Values Recovering: Application in a Marketing Database with Massive Missing Data. - Bruno M. Nogueira 001; Tadeu R. A. Santos; Luis E. Zárate (CIDM, 2007)

HCAC: Semi-supervised Hierarchical Clustering Using Confidence-Based Active Learning. - Bruno M. Nogueira 001; Alípio Mário Jorge; Solange Oliveira Rezende (Discovery Science, 2012)

Hierarchical confidence-based active clustering. - Bruno M. Nogueira 001; Alípio Mário Jorge; Solange Oliveira Rezende (SAC, 2012)

Comparing relational and non-relational algorithms for clustering propositional data. - Robson Motta; Alneu de Andrade Lopes; Bruno M. Nogueira 001; Solange Oliveira Rezende; Alípio Mário Jorge; Maria Cristina Ferreira de Oliveira (SAC, 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 001 (2013)

Uma análise exploratória de tópicos de pesquisa emergentes em Informática na Educação. - Vanessa Araujo Borges; Bruno Magalhães Nogueira 001; Ellen Francine Barbosa (Revista Brasileira de Informática na Educ., 2015)

A multidimensional data model for the analysis of learning management systems under different perspectives. - Vanessa Araujo Borges; Bruno Magalhães Nogueira 001; Ellen Francine Barbosa (FIE, 2016)

Learning a Fast Bipartite Ranker for Text Documents Using Lexicographical Rankers and ROC Curves. - Lucas de Souza Rodrigues; Edson Takashi Matsubara; Bruno Magalhães Nogueira 001 (ICDAR, 2017)

Constrained Hierarchical Clustering for News Events. - Ronaldo Florence; Bruno M. Nogueira 001; Ricardo M. Marcacini (IDEAS, 2017)

Integrating distance metric learning and cluster-level constraints in semi-supervised clustering. - Bruno Magalhães Nogueira 001; Yuri Karan Benevides Tomas; Ricardo Marcondes Marcacini (IJCNN, 2017)

Machine Learning for Suicidal Ideation Identification on Twitter for the Portuguese Language. - Vinícios Faustino de Carvalho; Bianca Giacon; Carlos Nascimento; Bruno Magalhães Nogueira 001 (BRACIS, 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 001 (SAC, 2020)

A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake News. - Mariana Caravanti de Souza; Bruno M. Nogueira 001; Rafael Geraldeli Rossi; Ricardo M. Marcacini; Solange O. Rezende (BRACIS (2), 2021)

Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning. - Marcos P. S. Gôlo; Mariana Caravanti de Souza; Rafael Geraldeli Rossi; Solange O. Rezende; Bruno Magalhães Nogueira 001; Ricardo M. Marcacini (WebMedia, 2021)

SeSG: a search string generator for Secondary Studies with hybrid search strategies using text mining. - Leonardo Fuchs Alves; Francisco J. S. Vasconcellos; Bruno Magalhães Nogueira 001 (Empir. Softw. Eng., 2022)

A network-based positive and unlabeled learning approach for fake news detection. - Mariana Caravanti de Souza; Bruno Magalhães Nogueira 001; Rafael Geraldeli Rossi; Ricardo Marcondes Marcacini; Brucce Neves dos Santos; Solange Oliveira Rezende (Mach. Learn., 2022)

A Framework for Controversial Political Topics Identification Using Twitter Data. - Kenzo Miranda Sakiyama; Lucas de Souza Rodrigues; Bruno Magalhães Nogueira 001; Edson Takashi Matsubara; Roseli A. F. Romero (BRACIS (3), 2023)

One-class learning for fake news detection through multimodal variational autoencoders. - Marcos Paulo Silva Gôlo; Mariana Caravanti de Souza; Rafael Geraldeli Rossi; Solange Oliveira Rezende; Bruno Magalhães Nogueira 001; Ricardo Marcondes Marcacini (Eng. Appl. Artif. Intell., 2023)