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2020 – today
- 2022
[c8]Tiago Pinho da Silva
, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista:
Geographic Context-Based Stacking Learning for Election Prediction from Socio-economic Data. BRACIS (1) 2022: 641-656- 2021
- [j1]L. H. M. Jacintho, Tiago Pinho da Silva, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista:
Analysing Spatio-Temporal Voting Patterns in Brazilian Elections Through a Simple Data Science Pipeline. J. Inf. Data Manag. 12(1) (2021) - [c7]Tiago Pinho da Silva, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista:
A Graph-Based Spatial Cross-Validation Approach for Assessing Models Learned with Selected Features to Understand Election Results. ICMLA 2021: 909-915 - 2020
- [c6]Andre Luis Cristiani, Tiago Pinho da Silva, Heloisa de Arruda Camargo:
A Fuzzy Approach for Classification and Novelty Detection in Data Streams Under Intermediate Latency. BRACIS (2) 2020: 171-186 - [c5]Tiago Pinho da Silva, Heloisa de Arruda Camargo:
Possibilistic Approach For Novelty Detection In Data Streams. FUZZ-IEEE 2020: 1-8
2010 – 2019
- 2018
- [c4]Vinicius Souza, Tiago Pinho da Silva, Gustavo E. A. P. A. Batista:
Evaluating Stream Classifiers with Delayed Labels Information. BRACIS 2018: 408-413 - [c3]Tiago Pinho da Silva, Vinícius Mourão Alves de Souza, Gustavo Enrique De Almeida Prado Alves Batista, Heloisa de Arruda Camargo:
A Fuzzy Classifier for Data Streams with Infinitely Delayed Labels. CIARP 2018: 287-295 - [c2]Tiago Pinho da Silva, Leonardo Schick, Priscilla de Abreu Lopes, Heloisa de Arruda Camargo:
A Fuzzy Multiclass Novelty Detector for Data Streams. FUZZ-IEEE 2018: 1-8 - 2017
- [c1]Tiago Pinho da Silva, Gerson Antonio Urban, Priscilla de Abreu Lopes, Heloisa de Arruda Camargo:
A Fuzzy Variant for On-Demand Data Stream Classification. BRACIS 2017: 67-72
Coauthor Index
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