| Selection of representative models for decision analysis under uncertainty LAA Meira, GP Coelho, AAS Santos, DJ Schiozer Computers & Geosciences 88, 67-82, 2016 | 71 | 2016 |
| 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 | 64 | 2014 |
| 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 | 36 | 2012 |
| 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 | 34 | 2020 |
| 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 | 30 | 2015 |
| 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, D031S017R003, 2017 | 26 | 2017 |
| 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 | 24 | 2008 |
| 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 | 20 | 2008 |
| 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 | 16 | 2022 |
| 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 | 16 | 2012 |
| Clustering through continuous facility location problems LAA Meira, FK Miyazawa, LLC Pedrosa Theoretical Computer Science 657, 137-145, 2017 | 11 | 2017 |
| 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 | 9 | 2010 |
| 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 | 4 | 2005 |
| 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 | 3 | 2020 |
| 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 | 3 | 2020 |
| VRPBench: A vehicle routing benchmark tool GA Zeni, M Menzori, PS Martins, LAA Meira arXiv preprint arXiv:1610.05402, 2016 | 3 | 2016 |
| Semidefinite programming based algorithms for the sparsest cut problem LAA Meira, FK Miyazawa RAIRO-Operations Research 45 (2), 75-100, 2011 | 3 | 2011 |
| 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 | 3 | 2004 |
| An faster network motif detection tool LAA Meira, VR Máximo, AL Fazenda, AF da Conceiçao arXiv preprint arXiv:1804.09741, 2018 | 2 | 2018 |
Flavio Keidi MiyazawaUniversity of CampinasVerified email at ic.unicamp.br
