Antônio Diogo Forte Martins

According to our database, Antônio Diogo Forte Martins authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

FakeSpreadersWhatsApp.BR: Misinformation Spreaders Detection in Brazilian Portuguese WhatsApp Messages.

Lucas Cabral, Antônio Diogo Forte Martins, José Maria Monteiro, Javam C. Machado, Wellington Franco

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

2022

BPA: A Multilingual Sentiment Analysis Approach based on BiLSTM.

Iago C. Chaves, Antônio Diogo Forte Martins, Francisco D. B. S. Praciano, Felipe T. Brito, José Maria Monteiro, Javam C. Machado

Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Understanding Misinformation About COVID-19 in WhatsApp Messages.

Antônio Diogo Forte Martins, José Maria Monteiro, Javam C. Machado

Proceedings of the New Trends in Database and Information Systems, 2022

2021

Detection of Misinformation about COVID-19 in Brazilian Portuguese WhatsApp Messages Using Deep Learning.

Antônio Diogo Forte Martins, Lucas Cabral, Pedro Jorge Chaves Mourão, José Maria Monteiro, Javam C. Machado

Proceedings of the 36th Brazilian Symposium on Databases, 2021

Detection of Misinformation About COVID-19 in Brazilian Portuguese WhatsApp Messages.

Antônio Diogo Forte Martins, Lucas Cabral, Pedro Jorge Chaves Mourão, José Maria Monteiro, Javam C. Machado

Proceedings of the Natural Language Processing and Information Systems, 2021

2020

LGPD: A Formal Concept Analysis and its Evaluation.

Antônio Diogo Forte Martins, Patrícia Vieira da Silva Barros, José Maria Monteiro, Javam de Castro Machado

Proceedings of the 35th Brazilian Symposium on Databases, 2020

Prevalence of Bad Smells in C# Projects.

Amanda Lima Sabóia, Antônio Diogo Forte Martins, Cristiano Sousa Melo, José Maria Monteiro, Cidcley Teixeira de Souza, Javam de Castro Machado

Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020

Time-series Approaches to Change-prone Class Prediction Problem.

Cristiano Sousa Melo, Matheus Mayron Lima da Cruz, Antônio Diogo Forte Martins, José Maria da Silva Monteiro Filho, Javam de Castro Machado

Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020

Empirical Study about Class Change Proneness Prediction using Software Metrics and Code Smells.

Antônio Diogo Forte Martins, Cristiano Sousa Melo, José Maria Monteiro, Javam de Castro Machado

Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020

2019

Prevalence of bad smells in PL/SQL projects.

Francisco Gonçalves de Almeida Filho, Antônio Diogo Forte Martins, Tiago da Silva Vinuto, José Maria Monteiro, Ítalo Pereira de Sousa, Javam de Castro Machado, Lincoln Souza Rocha

Proceedings of the 27th International Conference on Program Comprehension, 2019

A Practical Guide to Support Change-proneness Prediction.

Cristiano Sousa Melo, Matheus Mayron Lima da Cruz, Antônio Diogo Forte Martins, Tales Matos, José Maria da Silva Monteiro Filho, Javam de Castro Machado

Proceedings of the 21st International Conference on Enterprise Information Systems, 2019