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Luis A. A. Meira
Luis A. A. Meira
Assistant Professor, University of Campinas
Verified email at ft.unicamp.br - Homepage
Title
Cited by
Cited by
Year
Selection of representative models for decision analysis under uncertainty
LAA Meira, GP Coelho, AAS Santos, DJ Schiozer
Computers & Geosciences 88, 67-82, 2016
692016
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
602014
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
332012
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
302020
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
302015
RMFinder 2.0: An improved interactive multi-criteria scenario reduction methodology
LA Meira, GP Coelho, CG Silva, DJJ Schiozer, AS Santos
SPE Latin America and Caribbean Petroleum Engineering Conference, D031S017R003, 2017
252017
Uses of artificial intelligence in the Brazilian customs fraud detection system.
LA Digiampietri, NT Roman, LAA Meira, J Jambeiro Filho, CD Ferreira, ...
DG. O, 181-187, 2008
222008
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
212008
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
162012
Evaluation of unsupervised machine learning frameworks to select representative geological realizations for uncertainty quantification
SK Mahjour, LOM da Silva, LAA Meira, GP Coelho, AAS dos Santos, ...
Journal of Petroleum Science and Engineering 209, 109822, 2022
132022
Clustering through continuous facility location problems
LAA Meira, FK Miyazawa, LLC Pedrosa
Theoretical Computer Science 657, 137-145, 2017
112017
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
92010
acc-Motif Detection Tool
LAA Meira, VR Máximo, ÁL Fazenda, AF da Conceição
arXiv preprint arXiv:1203.3415, 2012
5*2012
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
42005
Using reorderable matrices to compare risk curves of representative models in oil reservoir development and management activities
CG Silva, LAA Meira, AAS Santos, DJ Schiozer
Proceedings of the International Conferences on Computer Graphics …, 2020
32020
VRPBench: A vehicle routing benchmark tool
GA Zeni, M Menzori, PS Martins, LAA Meira
arXiv preprint arXiv:1610.05402, 2016
32016
Semidefinite Programming Based Algorithms for the Sparsest Cut Problem
LAA Meira, FK Miyazawa
RAIRO-Operations Research 45 (2), 75-100, 2011
32011
A greedy approximation algorithm for the uniform labeling problem analyzed by a primal-dual technique
EC Bracht, LAA Meira, FK Miyazawa
Experimental and Efficient Algorithms: Third International Workshop, WEA …, 2004
32004
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
22020
An faster network motif detection tool
LAA Meira, VR Máximo, AL Fazenda, AF da Conceiçao
arXiv preprint arXiv:1804.09741, 2018
22018
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Articles 1–20