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IEEE Transactions on Neural Networks|February 6, 2008
Efficient training of RBF neural networks for pattern recognitionF Lampariello, M SciandroneCytometry|April 1, 1994
Evaluation of the number of positive cells from flow cytometric immunoassays by mathematical modeling of cellular autofluorescenceF LamparielloCytometry|February 24, 2000
On the use of the Kolmogorov-Smirnov statistical test for immunofluorescence histogram comparisonF LamparielloCytometry|July 17, 1998
Complete mathematical modeling method for the analysis of immunofluorescence distributions composed of negative and weakly positive cellsF Lampariello, A AielloNeural Computation|August 17, 2001
Convergent decomposition techniques for training RBF neural networksC Buzzi, L Grippo, M SciandroneCytometry|January 1, 1991
Comparison of gaussian and t-distribution densities for modeling fluorescence dispersion in flow cytometric DNA histogramsF Lampariello, G Sebastiani, E Cordelli, et al.Cytometry|January 1, 1989
Automatic analysis of flow cytometric DNA histograms from irradiated mouse male germ cellsF Lampariello, F Mauro, R Uccelli, et al.Pageof 1