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Priscilla de Abreu Lopes

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2010 – 2019

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2019
[c7]
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  - conf/eusflat/SchickLC19
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Leonardo Schick, Priscilla de Abreu Lopes, Heloisa A. Camargo:
Merging Clusters in Summary Structures for Data Stream Mining based on Fuzzy Similarity Measures. EUSFLAT Conf. 2019
2018
[c6]
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Leonardo Schick, Priscilla de Abreu Lopes, Heloisa de Arruda Camargo:
d-FuzzStream: A Dispersion-Based Fuzzy Data Stream Clustering. FUZZ-IEEE 2018: 1-8
[c5]
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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
[c4]
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  - conf/bracis/SilvaULC17
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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
[c3]
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Priscilla de Abreu Lopes, Heloisa de Arruda Camargo:
FuzzStream: Fuzzy data stream clustering based on the online-offline framework. FUZZ-IEEE 2017: 1-6
2015
[c2]
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  - conf/eusflat/LopesSCVS15
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Priscilla de Abreu Lopes, Ivana Yoshie Sumida, Heloisa A. Camargo, Haroldo F. de Campos Velho, Sandra A. Sandri:
A proposal for regime change/duration classification in chaotic systems. IFSA-EUSFLAT 2015
2012
[c1]
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  - conf/iri/LopesC12
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Priscilla de Abreu Lopes, Heloisa de Arruda Camargo:
Automatic labeling by means of semi-supervised fuzzy clustering as a boosting mechanism in the generation of fuzzy rules. IRI 2012: 279-286

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