Automatic labeling by means of semi-supervised fuzzy clustering as a boosting mechanism in the generation of fuzzy rules. - Priscilla de Abreu Lopes; Heloisa de Arruda Camargo (IRI, 2012)

A proposal for regime change/duration classification in chaotic systems. - Priscilla de Abreu Lopes; Ivana Yoshie Sumida; Heloisa A. Camargo; Haroldo F. de Campos Velho; Sandra A. Sandri (IFSA-EUSFLAT, 2015)

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)

FuzzStream: Fuzzy data stream clustering based on the online-offline framework. - Priscilla de Abreu Lopes; Heloisa de Arruda Camargo (FUZZ-IEEE, 2017)

d-FuzzStream: A Dispersion-Based Fuzzy Data Stream Clustering. - Leonardo Schick; Priscilla de Abreu Lopes; Heloisa de Arruda Camargo (FUZZ-IEEE, 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)

Merging Clusters in Summary Structures for Data Stream Mining based on Fuzzy Similarity Measures. - Leonardo Schick; Priscilla de Abreu Lopes; Heloisa A. Camargo (EUSFLAT Conf., 2019)