Lais Baroni

According to our database, Lais Baroni authored at least 8 papers between 2019 and 2021.

Collaborative distances:

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

2021

Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI.

Balthazar Paixão, Lais Baroni, Marcel Pedroso, Rebecca Salles, Luciana E. G. Escobar, Carlos de Sousa, Raphael de Freitas Saldanha, Jorge de Abreu Soares, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara

New Gener. Comput., 2021

Evaluating Temporal Bias in Time Series Event Detection Methods.

Luciana E. G. Escobar, Rebecca Salles, Janio Lima, Cristiane Gea, Lais Baroni, Artur Ziviani, Paulo F. Pires, Flávia Coimbra Delicato, Rafaelli Coutinho, Laura Assis, Eduardo S. Ogasawara

J. Inf. Data Manag., 2021

2020

An analysis of malaria in the Brazilian Legal Amazon using divergent association rules.

Lais Baroni, Rebecca Salles, Samella Salles, Gustavo Paiva Guedes, Fábio Porto, Eduardo Bezerra, Christovam Barcellos, Marcel Pedroso, Eduardo S. Ogasawara

J. Biomed. Informatics, 2020

Estimation of COVID-19 under-reporting in Brazilian States through SARI.

Balthazar Paixão, Lais Baroni, Rebecca Salles, Luciana E. G. Escobar, Carlos de Sousa, Marcel Pedroso, Raphael de Freitas Saldanha, Rafaelli Coutinho, Fábio Porto, Eduardo S. Ogasawara

CoRR, 2020

A Brazilian Portuguese Moral Foundations Dictionary for Fake News classification.

Flavio Carvalho, Helder Yukio Okuno, Lais Baroni, Gustavo Paiva Guedes

Proceedings of the 39th International Conference of the Chilean Computer Science Society, 2020

Harbinger: Um framework para integração e análise de métodos de detecção de eventos em séries temporais.

Rebecca Salles, Luciana E. G. Escobar, Lais Baroni, Roccio Zorrilla, Artur Ziviani, Vincius Kreischer, Flávia Coimbra Delicato, Paulo F. Pires, Luciano Maia, Rafaelli Coutinho, Laura Assis, Eduardo S. Ogasawara

Proceedings of the 35th Brazilian Symposium on Databases, 2020

2019

Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation.

Reinaldo Mozart Da Gama e Silva, Lais Baroni, Rodrigo S. Ferreira, Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil

CoRR, 2019

Penobscot Dataset: Fostering Machine Learning Development for Seismic Interpretation.

Lais Baroni, Reinaldo Mozart Da Gama e Silva, Rodrigo S. Ferreira, Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil

CoRR, 2019