Thiago de Paulo Faleiros

According to our database, Thiago de Paulo Faleiros authored at least 21 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DODFMiner: An automated tool for Named Entity Recognition from Official Gazettes.

Gabriel M. C. Guimarães, Felipe X. B. da Silva, Andrei L. Queiroz, Ricardo M. Marcacini, Thiago de Paulo Faleiros, Vinicius R. P. Borges, Luís P. F. Garcia

Neurocomputing, February, 2024

Coarsening Algorithm Based on Multi-Label Propagation for Knowledge Discovery in Bipartite Networks.

Alan Demétrius Baria Valejo, Paulo Eduardo Althoff, Thiago de Paulo Faleiros, Geraldo Pereira Rocha Filho, Yu-tao Zhu, Jianglong Yan, Weiguang Liu, Liang Zhao

IEEE Trans. Netw. Sci. Eng., 2024

2023

Coarsening effects on k-partite network classification.

Paulo Eduardo Althoff, Alan Demétrius Baria Valejo, Thiago de Paulo Faleiros

Appl. Netw. Sci., December, 2023

An Actor-Critic Architecture for Community Detection Ablation Study.

Rafael Henrique Nogalha de Lima, Aurélio Ribeiro Costa, Thiago de Paulo Faleiros, Célia Ghedini Ralha

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Investigation of Deep Active Self-learning Algorithms Applied to Named Entity Recognition.

José Reinaldo C. S. A. V. S. Neto, Thiago de Paulo Faleiros

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

BERT Self-Learning Approach with Limited Labels for Document Classification.

Carlos Eduardo de Lima Joaquim, Thiago de Paulo Faleiros

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

2021

Coarsening Algorithm via Semi-synchronous Label Propagation for Bipartite Networks.

Alan Demétrius Baria Valejo, Paulo Eduardo Althoff, Thiago de Paulo Faleiros, Maria Lígia Chuerubim, Jianglong Yan, Weiguang Liu, Liang Zhao

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

Deep Active-Self Learning Applied to Named Entity Recognition.

José Reinaldo C. S. A. V. S. Neto, Thiago de Paulo Faleiros

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020

A coarsening method for bipartite networks via weight-constrained label propagation.

Alan Valejo, Thiago de Paulo Faleiros, Maria Cristina Ferreira de Oliveira, Alneu de Andrade Lopes

Knowl. Based Syst., 2020

Unsupervised learning of textual pattern based on Propagation in Bipartite Graph.

Thiago de Paulo Faleiros, Alan Valejo, Alneu de Andrade Lopes

Intell. Data Anal., 2020

2019

Generating Artificial Data to Evaluate Machine Learning Predictive Algorithms for Bus Travel Time.

Leandro dos Santos Ribeiro, Thiago de Paulo Faleiros, Maristela Holanda

J. Inf. Data Manag., 2019

Does Semantic Search Performs Better than Lexical Search in the Task of Assisting Legal Opinion Writing?

Daniel de Souza Costa Pedroso, Marcelo Ladeira, Thiago de Paulo Faleiros

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Generating Artificial Data for Bus Travel Time Predictions.

Leandro dos Santos Ribeiro, Thiago de Paulo Faleiros, Maristela Holanda

Proceedings of the XIX Brazilian Symposium on Geoinformatics, 2018

2017

Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs.

Thiago de Paulo Faleiros, Rafael Geraldeli Rossi, Alneu de Andrade Lopes

Pattern Recognit. Lett., 2017

RGCLI: Robust Graph that Considers Labeled Instances for Semi-Supervised Learning.

Lilian Berton, Thiago de Paulo Faleiros, Alan Valejo, Jorge Carlos Valverde-Rebaza, Alneu de Andrade Lopes

Neurocomputing, 2017

2016

Propagation in bipartite graphs for topic extraction in stream of textual data.

Thiago de Paulo Faleiros

PhD thesis, 2016

On the equivalence between algorithms for Non-negative Matrix Factorization and Latent Dirichlet Allocation.

Thiago de Paulo Faleiros, Alneu de Andrade Lopes

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

A naïve Bayes model based on ovelapping groups for link prediction in online social networks.

Jorge Carlos Valverde-Rebaza, Alan Valejo, Lilian Berton, Thiago de Paulo Faleiros, Alneu de Andrade Lopes

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Bipartite Graph for Topic Extraction.

Thiago de Paulo Faleiros, Alneu de Andrade Lopes

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Inductive Model Generation for Text Classification Using a Bipartite Heterogeneous Network.

Rafael Geraldeli Rossi, Alneu de Andrade Lopes, Thiago de Paulo Faleiros, Solange Oliveira Rezende

J. Comput. Sci. Technol., 2014

2012

Inductive Model Generation for Text Categorization Using a Bipartite Heterogeneous Network.

Rafael Geraldeli Rossi, Thiago de Paulo Faleiros, Alneu de Andrade Lopes, Solange Oliveira Rezende

Proceedings of the 12th IEEE International Conference on Data Mining, 2012