A Fuzzy Variant for On-Demand Data Stream Classification. - Tiago Pinho da Silva; Gerson Antonio Urban; Priscilla de Abreu Lopes; Heloisa de Arruda Camargo (BRACIS, 2017)

Evaluating Stream Classifiers with Delayed Labels Information. - Vinícius M. A. de Souza; Tiago Pinho da Silva; Gustavo E. A. P. A. Batista (BRACIS, 2018)

A Fuzzy Classifier for Data Streams with Infinitely Delayed Labels. - Tiago Pinho da Silva; Vinícius Mourão Alves de Souza; Gustavo Enrique De Almeida Prado Alves Batista; Heloisa de Arruda Camargo (CIARP, 2018)

A Fuzzy Multiclass Novelty Detector for Data Streams. - Tiago Pinho da Silva; Leonardo Schick; Priscilla de Abreu Lopes; Heloisa de Arruda Camargo (FUZZ-IEEE, 2018)

A Fuzzy Approach for Classification and Novelty Detection in Data Streams Under Intermediate Latency. - Andre Luis Cristiani; Tiago Pinho da Silva; Heloisa de Arruda Camargo (BRACIS (2), 2020)

Possibilistic Approach For Novelty Detection In Data Streams. - Tiago Pinho da Silva; Heloisa de Arruda Camargo (FUZZ-IEEE, 2020)

A Graph-Based Spatial Cross-Validation Approach for Assessing Models Learned with Selected Features to Understand Election Results. - Tiago Pinho da Silva; Antonio Rafael Sabino Parmezan; Gustavo E. A. P. A. Batista (ICMLA, 2021)

Analysing Spatio-Temporal Voting Patterns in Brazilian Elections Through a Simple Data Science Pipeline. - L. H. M. Jacintho; Tiago Pinho da Silva; Antonio Rafael Sabino Parmezan; Gustavo E. A. P. A. Batista (J. Inf. Data Manag., 2021)

Geographic Context-Based Stacking Learning for Election Prediction from Socio-economic Data. - Tiago Pinho da Silva; Antonio Rafael Sabino Parmezan; Gustavo E. A. P. A. Batista (BRACIS (1), 2022)