VINICIUS ROSA MAXIMO
VINICIUS ROSA MAXIMO
Aluno de Ciência da Computação
Verified email at unifesp.br
Title
Cited by
Cited by
Year
Acc-motif: accelerated network motif detection
LAA Meira, VR Máximo, ÁL Fazenda, AF Da Conceiçao
IEEE/ACM transactions on computational biology and bioinformatics 11 (5 …, 2014
492014
Intelligent-guided adaptive search for the maximum covering location problem
VR Máximo, MCV Nascimento, AC Carvalho
Computers & Operations Research 78, 129-137, 2017
232017
Accelerated Motif Detection Using Combinatorial Techniques
LAA Meira, VR Maximo, AL Fazenda, AF da Conceicao
Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth …, 2012
112012
A consensus-based semi-supervised growing neural gas
VR Maximo, MG Quiles, MCV Nascimento
2014 International Joint Conference on Neural Networks (IJCNN), 2019-2026, 2014
42014
A new approach to count pattern motifs using combinatorial techniches
LAA Meira, VR Máximo, AF da Conceição, ÁL Fazenda
32012
A hybrid adaptive iterated local search with diversification control to the capacitated vehicle routing problem
VR Máximo, MCV Nascimento
European Journal of Operational Research, 2021
22021
Intensification, learning and diversification in a hybrid metaheuristic: an efficient unification
VR Máximo, MCV Nascimento
Journal of Heuristics 25 (4), 539-564, 2019
22019
An Faster Network Motif Detection Tool
LAA Meira, VR Máximo, AL Fazenda, AF da Conceiçao
arXiv preprint arXiv:1804.09741, 2018
12018
acc-Motif Detection Tool
LAA Meira, VR Máximo, ÁL Fazenda, AF da Conceição
arXiv preprint arXiv:1203.3415, 2012
12012
Diversity control mechanisms in iterated local search to solve vehicle routing problems
VR Máximo
Universidade Federal de São Paulo, 2021
2021
Active consensus-based semi-supervised growing neural gas
VR Máximo, MCV Nascimento, FA Breve, MG Quiles
International Conference on Neural Information Processing, 126-135, 2016
2016
Intelligent guided adaptive search aplicado ao problema de localização de máxima cobertura
VR Maximo
Universidade Federal de São Paulo (UNIFESP), 2015
2015
IGAS: uma meta-heurística adaptativa para a solução de problemas de otimização combinatória
MCVN Vinícius R. Máximo
Simpósio Brasileiro de Pesquisa Operacional, 1960-1971, 2014
2014
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Articles 1–13