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Journal Articles
- 2022
[j3]Rodrigo Francisquini, Ana Carolina Lorena
, Mariá C. V. Nascimento:
Community-based anomaly detection using spectral graph filtering. Appl. Soft Comput. 118: 108489 (2022)- 2021
- [j2]Tiago Tiburcio da Silva, Rodrigo Francisquini, Mariá C. V. Nascimento:
Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: A case study in the capitals of Brazil. Expert Syst. Appl. 182: 115190 (2021) - 2017
- [j1]Rodrigo Francisquini, Valério Rosset, Mariá C. V. Nascimento:
GA-LP: A genetic algorithm based on Label Propagation to detect communities in directed networks. Expert Syst. Appl. 74: 127-138 (2017)
Conference and Workshop Papers
- 2021
- [c2]Rodrigo Francisquini, Tiago Tiburcio da Silva, Mariá C. V. Nascimento:
Detecting Anomalies In Daily COVID-19 Cases Data From Brazil Capitals Using GSP Theory. CEC 2021: 1296-1303 - 2018
- [c1]Rodrigo Francisquini, Mariá C. V. Nascimento, Márcio P. Basgalupp:
NGA-LP: A Robust and Improved Genetic Algorithm to Detect Communities in Directed Networks. CEC 2018: 1-8
Informal and Other Publications
- 2022
- [i3]Rodrigo Francisquini, Ana Carolina Lorena, Mariá C. V. Nascimento:
Community-based anomaly detection using spectral graph filtering. CoRR abs/2201.09936 (2022) - 2021
- [i2]Tiago Tiburcio da Silva, Rodrigo Francisquini, Mariá C. V. Nascimento:
Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: a case study in the capitals of Brazil. CoRR abs/2105.04072 (2021) - 2019
- [i1]Camila P. S. Tautenhain, Rodrigo Francisquini, Mariá C. V. Nascimento:
An analysis of community structure in Brazilian political topic-based Twitter networks. CoRR abs/1906.06315 (2019)
Coauthor Index
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