Luis A. A. Meira
Luis A. A. Meira
Assistant Professor, University of Campinas
Email confirmado em ft.unicamp.br - Página inicial
Título
Citado por
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Ano
Selection of representative models for decision analysis under uncertainty
LAA Meira, GP Coelho, AAS Santos, DJ Schiozer
Computers & Geosciences 88, 67-82, 2016
542016
acc-Motif: Accelerated Network Motif Detection
LAA Meira, VR Maximo, AL Fazenda, AF da Conceição
Computational Biology and Bioinformatics, IEEE/ACM Transactions on, 1-1, 2014
492014
A systematic approach to bound factor-revealing LPs and its application to the metric and squared metric facility location problems
CG Fernandes, LAA Meira, FK Miyazawa, LLC Pedrosa
Mathematical programming 153 (2), 655-685, 2015
212015
A continuous facility location problem and its application to a clustering problem
LAA Meira, FK Miyazawa
Proceedings of the 2008 ACM symposium on Applied computing, 1826-1831, 2008
182008
RMFinder 2.0: An improved interactive multi-criteria scenario reduction methodology
LA Meira, GP Coelho, CG Silva, DJ Schiozer, AS Santos
SPE Latin America and Caribbean Petroleum Engineering Conference, 2017
172017
Improving representativeness in a scenario reduction process to aid decision making in petroleum fields
LAA Meira, GP Coelho, CG da Silva, JLA Abreu, AAS Santos, DJ Schiozer
Journal of petroleum science and engineering 184, 106398, 2020
142020
Uses of artificial intelligence in the Brazilian customs fraud detection system
LA Digiampietri, NT Roman, LAA Meira, JJ Filho, CD Ferreira, AA Kondo, ...
Proceedings of the 2008 international conference on digital government …, 2008
142008
How far do we get using machine learning black-boxes?
A Rocha, JP Papa, LAA Meira
International Journal of Pattern Recognition and Artificial Intelligence 26 …, 2012
132012
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
How far you can get using machine learning black-boxes
A Rocha, JP Papa, LAA Meira
2010 23rd SIBGRAPI Conference on Graphics, Patterns and Images, 193-200, 2010
82010
Clustering through continuous facility location problems
LAA Meira, FK Miyazawa, LLC Pedrosa
Theoretical Computer Science 657, 137-145, 2017
72017
A greedy approximation algorithm for the uniform metric labeling problem analyzed by a primal-dual technique
EC Bracht, LAA Meira, FK Miyazawa
Journal of Experimental Algorithmics (JEA) 10, 2.11-es, 2005
52005
A greedy approximation algorithm for the uniform labeling problem analyzed by a primal-dual technique
EC Bracht, LAA Meira, FK Miyazawa
International Workshop on Experimental and Efficient Algorithms, 145-158, 2004
52004
acc-Motif Detection Tool
LAA Meira, VR Máximo, ÁL Fazenda, AF da Conceição
arXiv preprint arXiv:1203.3415, 2012
4*2012
Instances and programs to Uniform Metric Labeling Problem
EC Bracht, LAA Meira, FK Miyazawa
32002
Vrpbench: A vehicle routing benchmark tool
GA Zeni, M Menzori, PS Martins, LAA Meira
arXiv preprint arXiv:1610.05402, 2016
22016
How to assess your Smart Delivery System?: Benchmarks for rich vehicle routing problems
LAA Meira, PS Martins, M Menzori, GA Zeni
Smart Delivery Systems, 227-247, 2020
12020
An Faster Network Motif Detection Tool
LAA Meira, VR Máximo, AL Fazenda, AF da Conceiçao
arXiv preprint arXiv:1804.09741, 2018
12018
Multi-objective vehicle routing problem applied to large scale post office deliveries
LAA Meira, PS Martins, M Menzori, GA Zeni
arXiv preprint arXiv:1801.00712, 2017
12017
Fusion tree sorting
LAA Meira, RHB de Lima
arXiv preprint arXiv:1411.0048, 2014
12014
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Artigos 1–20