1 citations · 1 across the 3 of their papers we have counts for
6 papers
Community-based anomaly detection using spectral graph filtering
Rodrigo Francisquini, Ana Carolina Lorena, Mariá C. V. Nascimento
Several applications have a community structure where the nodes of the same community share similar attributes. Anomaly or outlier detection in networks is a relevant and widely st…
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
Tiago Tiburcio da Silva, Rodrigo Francisquini, Mariá C. V. Nascimento
In 2020, Brazil was the leading country in COVID-19 cases in Latin America, and capital cities were the most severely affected by the outbreak. Climates vary in Brazil due to the t…
Hybrid matheuristics to solve the integrated lot sizing and scheduling problem on parallel machines with sequence-dependent and non-triangular setup
Desiree M. Carvalho, Mariá C. V. Nascimento
This paper approaches the integrated lot sizing and scheduling problem (ILSSP), in which non-identical machines work in parallel with non-triangular sequence-dependent setup costs…
An analysis of community structure in Brazilian political topic-based Twitter networks
Camila P. S. Tautenhain, Rodrigo Francisquini, Mariá C. V. Nascimento
Online social networks such as Twitter are important platforms for spreading public opinion on a variety of subjects. The classification of users through the analysis of their post…
An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problem
Camila P. S. Tautenhain, Ana Paula Barbosa-Povoa, Bruna Mota +1
Sustainable Supply Chain (SSC) management aims at integrating economic, environmental and social goals to assist in the long-term planning of a company and its supply chains. There…
An ensemble based on a bi-objective evolutionary spectral algorithm for graph clustering
Camila P. S. Tautenhain, Mariá C. V. Nascimento
Graph clustering is a challenging pattern recognition problem whose goal is to identify vertex partitions with high intra-group connectivity. This paper investigates a bi-objective…