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Rodrigo Francisquini
Rodrigo Francisquini
Doutorando em Ciências da Computação, Universidade Federal de São Paulo
Verified email at unifesp.br - Homepage
Title
Cited by
Cited by
Year
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
TT da Silva, R Francisquini, MCV Nascimento
Expert Systems with Applications 182, 115190, 2021
302021
GA-LP: A genetic algorithm based on Label Propagation to detect communities in directed networks
R Francisquini, V Rosset, MCV Nascimento
Expert Systems with Applications 74, 127-138, 2017
262017
Community-based anomaly detection using spectral graph filtering
R Francisquini, AC Lorena, MCV Nascimento
Applied Soft Computing 118, 108489, 2022
122022
Community-based network analyses reveal emerging connectivity patterns of protein-protein interactions in murine melanoma secretome
R Francisquini, R Berton, SG Soares, DS Pessotti, MF Camacho, ...
Journal of Proteomics 232, 104063, 2021
72021
An analysis of community structure in Brazilian political topic-based Twitter networks
CPS Tautenhain, R Francisquini, MCV Nascimento
arXiv preprint arXiv:1906.06315, 2019
22019
Detecting Anomalies In Daily COVID-19 Cases Data From Brazil Capitals Using GSP Theory
R Francisquini, TT da Silva, MCV Nascimento
2021 IEEE Congress on Evolutionary Computation (CEC), 1296-1303, 2021
12021
PGA-LP: Um algoritmo genético para detecção de comunidades em redes
RF Silva
Universidade Federal de São Paulo, 2018
2018
NGA-LP: A robust and improved genetic algorithm to detect communities in directed networks
R Francisquini, MCV Nascimento, MP Basgalupp
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
2018
GA-LP: Um algoritmo genético baseado no Label Propagation para detecção de comunidades em redes direcionadas
R Francisquini, V Rosset, MCV Nascimento
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