( en | de | ru )

 

Disambiguation of "Rocha, Orlando"

Author of the publication

copydeleteadd this publication to your clipboard
JBiclustGE: Java API with unified biclustering algorithms for gene expression data analysis.

, and . Knowl. Based Syst., (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Orlando Wender

Orlando Grossegesse

Elena Orlando

Orlando M

Orlando Poltera

 

Other publications of authors with the same name

JBiclustGE: Java API with unified biclustering algorithms for gene expression data analysis., and . Knowl. Based Syst., (2018)Reg4OptFlux: an OptFlux plug-in that comprises meta-heuristics approaches for Metabolic engineering using integrated models., , , and . NaBIC, page 226-231. IEEE, (2014)A computational framework for studying genome-scale regulatory models that combines gene expression data and optimization approaches. University of Minho, Portugal, (2018)Development of a Smart Building Wireless Sensors Network: Cooperation between University of Washington Tacoma and Brazilian universities., , , , and . FIE, page 1706-1708. IEEE Computer Society, (2013)Modelagem baseada em agrupamento nebuloso evolutivo de máxima verossimilhança aplicada a sistemas dinâmicos operando em ambiente não-estacionário.. Federal University of Maranhão, Brazil, (2017)ndltd.org (oai:tede2:tede/1898).Online Evolving Fuzzy Clustering Algorithm Based on Maximum Likelihood Similarity Distance., and . IBERAMIA, volume 8864 of Lecture Notes in Computer Science, page 269-280. Springer, (2014)Evolving Fuzzy Modeling Approach based on Maximum Likelihood with Participatory Learning., and . ICINCO (1), page 374-382. SciTePress, (2016)Evolving maximum likelihood clustering algorithm., and . EALS, page 109-115. IEEE, (2014)Evolving fuzzy clustering algorithm based on maximum likelihood with participatory learning., and . EAIS, page 65-72. IEEE, (2016)Instrumental variable based maximum likelihood evolving fuzzy algorithm for nonlinear system identification., and . ISIE, page 83-88. IEEE, (2015)