Leonardo Emmendorfer
Leonardo Emmendorfer
Professor of Computer Science, Federal University of Rio Grande, Brazil
Email confirmado em furg.br
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Ano
A comparison of simulated annealing schedules for constructal design of complex cavities intruded into conductive walls with internal heat generation
GV Gonzales, E da SD Estrada, LR Emmendorfer, LA Isoldi, G Xie, ...
Energy 93, 372-382, 2015
262015
Effective linkage learning using low-order statistics and clustering
LR Emmendorfer, ATR Pozo
IEEE Transactions on Evolutionary Computation 13 (6), 1233-1246, 2009
242009
Linkage in evolutionary computation
Y Chen
Springer, 2008
222008
Desenvolvendo o Raciocínio Lógico no Ensino Médio: uma proposta utilizando a ferramenta Scratch
FP Mota, NFA Ribeiro, L Emmendorfer, P Butzen, KS Machado, ...
Brazilian Symposium on Computers in Education (Simpósio Brasileiro de …, 2014
162014
Um modelo de autômatos celulares para o espalhamento geográfico de epidemias
LR Emmendorfer, LAD Rodrigues
162001
A methodology for selecting the most suitable cluster validation internal indices
C Tomasini, L Emmendorfer, EN Borges, K Machado
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 901-903, 2016
102016
Selecting software reliability models with a neural network meta classifier
R Caiuta, A Pozo, L Emmendorfer, SR Vergilio
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
102008
A clustering-based approach for linkage learning applied to multimodal optimization
L Emmendorfer, A Pozo
Linkage in Evolutionary Computation, 225-248, 2008
62008
An incremental approach for niching and building block detection via clustering
LR Emmendorfer, ATR Pozo
Seventh International Conference on Intelligent Systems Design and …, 2007
62007
An agent-based environment for dynamic positioning of the fogg behavior model threshold line
M Guimaraes, D Adamatti, L Emmendorfer
ADCAIJ Adv. Distrib. Comput. Artif. Intell. J 7 (1), 67-76, 2018
52018
A Study on the Relationship between Internal and External Validity Indices Applied to Partitioning and Density-based Clustering Algorithms.
C Tomasini, EN Borges, KS Machado, LR Emmendorfer
ICEIS (1), 89-98, 2017
52017
A generalized average linkage criterion for Hierarchical Agglomerative Clustering
LR Emmendorfer, AM de Paula Canuto
Applied Soft Computing 100, 106990, 2021
42021
Modelagem ambiental: perspectivas e contribuições
RS Brum, CS Neves, EP Kirinus, R Santos, LR Emmendorfer
Revista Jr de Iniciação Científica em Ciências Exatas e Engenharia 3, 15-20, 2011
42011
APRENDIZADO DA LIGAC AO ENTRE GENES EM COMPUTAC AO EVOLUTIVA: UMA NOVA ABORDAGEM BASEADA EM ESTATÍSTICAS DE BAIXA ORDEM
LR Emmendorfer
Universidade Federal do Paraná, Brasil, 2007
42007
A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression
LR Emmendorfer, GP Dimuro
International Conference on Computational Science, 576-589, 2020
32020
Persuasive agent based simulation for evaluation of the dynamic threshold line and trigger classification from the Fogg Behavior Model
M Guimaraes, L Emmendorfer, D Adamatti
Simulation Modelling Practice and Theory 83, 18-35, 2018
32018
A comparative study of simulated annealing with different cooling schedules for geometric optimization of a heat transfer problem according to constructal design
GV Gonzales, ED dos Santos, LR Emmendorfer, LA Isoldi, LAO Rocha, ...
Scientia Plena 11 (8), 2015
32015
Investigação da aplicação de algoritmos de agrupamento para o problema astrofísico de classificação de galáxias
V de Oliveira Gil, F Ferrari, L Emmendorfer
Revista Brasileira de Computação Aplicada 7 (2), 52-61, 2015
32015
An empirical evaluation of linkage learning strategies for multimodal optimization
LR Emmendorfer, ATR Pozo
2007 IEEE Congress on Evolutionary Computation, 326-333, 2007
32007
A point interpolation algorithm resulting from weighted linear regression
LR Emmendorfer, GP Dimuro
Journal of Computational Science 50, 101304, 2021
22021
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Artigos 1–20