Gabriela Maletti

Learn More
We compared the performance of several models for predicting, from small samples, the precision of estimates of the total number of blossoms on fruit trees obtained using a three-stage fractionator, in which the sampling units were defined by the tree structure: (1) primary branches and stem (2) secondary branches and shoots and (3) flowering buds. The(More)
This paper reports on the contrasting patterns of two variable rate application systems used in precision irrigation: the pulse width modulation and the bi-model sequencing, on the distribution uniformities of the two systems and on the evaluation of their performance with regard to the different low operational pressured 1, 1.5 and 2 bar. Twenty-one tests(More)
OBJECTIVE To determine whether tumorectomy with tamoxifen in women over 70 years achieves the same treatment results as mastectomy plus tamoxifen. MATERIAL AND METHODS Prospective randomized analysis of 121 patients over 70 with breast cancer clinically negative axilla and tumor up to 4 cm diameter. Randomization was according to even or odd birth month.(More)
Nowadays, the medical tracking of dermatological diseases is imprecise, mainly due to the lack of suitable objective methods to evaluate the lesion. The severity of the disease is currently scored by doctors merely by means of visual examination. In this work, multi-set canonical correlation analysis over registered images is proposed to track the evolution(More)
A couple of supervised classifiers to segment optical multispectral images and textured radar images has been developed. In both classifiers, an automated regiongrowing algorithm delineates the training sets. Optimum statistics for defined classes are derived from the training sets. This algorithm handles three parameters: an initial pixel seed, a window(More)
A couple of supervised classifiers to segment optical multispectral images and textured radar images has been developed. In both classifiers, an automated regiongrowing algorithm delineates the training sets. Optimum statistics for defined classes are derived from the training sets. This algorithm handles three parameters: an initial pixel seed, a window(More)
  • 1