Publications

A network-based positive and unlabeled learning approach for fake news detection

FFake news can rapidly spread through internet users and can deceive a large audience. Due to those characteristics, they can have a …
Mariana Caravanti de Souza, Brucce Neves, Bruno M. Nogueira, Rafael Geraldeli Rossi, Ricardo Marcondes Marcacini and Solange Oliveira Rezende
PDF DOI
A network-based positive and unlabeled learning approach for fake news detection

Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning

Fake news can rapidly spread through internet users. Approaches proposed in the literature for content classification usually learn …
Marcos Gôlo, Mariana Caravanti de Souza, Bruno M. Nogueira, Rafael Geraldeli Rossi, Ricardo Marcondes Marcacini and Solange Oliveira Rezende
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Avaliação de classificadores para relacionar características escolares a indicadores educacionais

No Brasil existem muitos dados educacionais sobre a Educação Básica, entre estes dados destacam-se os que compõem o Censo Escolar e os …
Doglas Wendll Sorgatto, Bruno M. Nogueira, Henqique Mongelli and Edson Norberto Cáceres
PDF DOI
Avaliação de classificadores para relacionar características escolares a indicadores educacionais

A Heterogeneous Network-based Positive and Unlabeled Learning Approach to Detecting Fake News

The dynamism of fake news evolution and dissemination plays a crucial role in influencing and confirming personal beliefs. To minimize …
Mariana Caravanti de Souza, Bruno M. Nogueira, Rafael Geraldeli Rossi, Ricardo Marcondes Marcacini and Solange Oliveira Rezende
PDF DOI

Machine learning for suicidal ideation identification on Twitter for the Portuguese language

Suicidal ideation is one of the main predictors of the risk of suicide attempt and can be described as thoughts, ideas, planning, and …
Vinícios Faustino de Carvalho, Bianca Giacon, Carlos Nascimento and Bruno M. Nogueira
DOI
Machine learning for suicidal ideation identification on Twitter for the Portuguese language

TextCSN: a Semi-Supervised Approach for Text Clustering Using Pairwise Constraints and Convolutional Siamese Network

Clustering is a key problem in several applications. Although this task is originally unsupervised, there are many proposals leveraging …
Lucas Akayama Vilhagra, Eraldo Rezende Fernandes and Bruno M. Nogueira
Video DOI
TextCSN: a Semi-Supervised Approach for Text Clustering Using Pairwise Constraints and Convolutional Siamese Network

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

The design of powerful learning methods for addressing huge amounts of unstructured data, such as text documents, is a fundamental …
Lucas S. Rodrigues, Edson T. Matsubara and Bruno M. Nogueira
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Learning a Fast Bipartite Ranker for Text Documents using Lexicographical Rankers and ROC Curves

Constrained Hierarchical Clustering for News Events

Knowledge discovery from web news events has received great attention in recent years. In practice, this knowledge is a digital …
Ronaldo Florence, Bruno M. Nogueira and Ricardo M. Marcacini
DOI
Constrained Hierarchical Clustering for News Events

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

Semi-supervised clustering has been widely explored in the last years. In this paper, we present HCAC-ML (Hierarchical Confidence-based …
Bruno M. Nogueira, Yuri K. B. Tomas e Ricardo M. Marcacini
Video DOI
Integrating distance metric learning and cluster-level constraints in semi-supervised clustering

Save the Data! An Intelligent Approach to Avoid Data Loss

Data loss can harm customers, business strategies and companies reputation. While enterprise environments commonly employ data …
Marcos Iseki, Bruno M. Nogueira and Brivaldo A. S. Junior
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Save the Data! An Intelligent Approach to Avoid Data Loss

Websensors Analytics: Learning to sense the real world using web news events

An event is defined as “a particular thing which happens at a specific time and place” and can be extracted from news articles, social …
Ricardo M. Marcacini, Rafael G. Rossi, Bruno M. Nogueira, Luan V. Martins, Everton A. Cherman and Solange O. Rezende
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A multidimensional data model for the analysis of learning management systems under different perspectives

The decision-making process in the educational context has been widely investigated as an effective mechanism to support educators and …
Vanessa A. Borges, Bruno M. Nogueira e Ellen F. Barbosa
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A multidimensional data model for the analysis of learning management systems under different perspectives

Comparing Relational and Non-relational Algorithms for Clustering Propositional Data

Cluster detection methods are widely studied in Propositional Data Mining. In this context, data is individually represented as a …
Robson Motta, Bruno M. Nogueira, Alípio M. Jorge, Alneu A. Lopes, Solange O. Rezende and Maria C. Oliveira
DOI
Comparing Relational and Non-relational Algorithms for Clustering Propositional Data