Search Results - "Oliveira, R. da S"

Mining plant genome browsers as a means for efficient connection of physical, genetic and cytogenetic mapping: An example using soybean by Belarmino, Luis C, da S Oliveira, Ana R, Brasileiro-Vidal, Ana C, de A Bortoleti, Kyria C, Bezerra-Neto, João Pacífico, Abdelnoor, Ricardo V, Benko-Iseppon, Ana M

“…Physical maps are important tools to uncover general chromosome structure as well as to compare different plant lineages and species, helping to elucidate…”
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Smooth management - a preference-based strategic approach to making budget adjustments by Moraes, Diogo Tavares C., Neto, Jose Ivo Carille, De Franca, Franciele Silva, Da S. Oliveira, Flavio R., Melo, Ricardo Alves de, Neto, Fernando Buarque de Lima

“…The correct business resource allocation presents many challenges, especially when it's about budget management in contingency situations. Therefore, this work…”
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Patterns of Exochorion Ornaments on Eggs of Seven South American Species of Lutzomyia Sand Flies (Diptera: Psychodidae) by Nogueira de Almeida, Danielle, Oliveira, Rodrigo da Silva, Brazil, Beatriz Gomes, Soares, Maurilio José

“…The patterns of exochorion ornaments on eggs of seven South American Lutzomyia sand fly species were analyzed by scanning electron microscopy (SEM): Lutzomyia…”
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Optimization of acid hydrolysis of sugarcane bagasse and investigations on its fermentability for the production of xylitol by Candida guilliermondii by Fogel, R, Garcia, R.R, Oliveira, R. da S, Palacio, D.N.M, Madeira, L. da S, Pereira, N. Jr

“…The dilute-acid hydrolysis of sugarcane bagasse was optimized using a statistical experimental design resulting in hydrolysates containing 57.25 g/L of xylose,…”
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Self-explanatory error checking capability for classifier-based Decision Support Systems by Oliveira, Flavio R. Da S., Neto, Fernando B. Lima

“…The eXplainable Artificial Intelligence field emerged to solve, albeit partially, the need to explain opaque intelligent models. However, even when intelligent…”
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Personalizing the explanation extraction in Intelligent Decision Support Systems by da S. Oliveira, Flavio R., Lima Neto, Fernando B.

“…The use of black-box models compromises the adoption of Decision Support Systems because they tipically do not allow the decision maker to understand how…”
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ESTUDO HIDROGEOLÓGICO DE UM AQUÍFERO ALUVIAL COM BARRAGENS SUBMERSAS NA REGIÃO DE SANTA LUZIA, PARAÍBA by H. D. M. Schuster, P. R. da S. Oliveira, U. Koch

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