ALGORITHM AVERSION IS TOO OFTEN PRESENTED AS THOUGH IT WERE NON-COMPENSATORY: A REPLY TO LONGONI ET AL. (2020)

Algorithm aversion is too often presented as though it were non-compensatory: A reply to Longoni et al. (2020)

We clarify two points made in our commentary (Pezzo & Beckstead, 2020, this issue) on a recent paper by Longoni, Bonezzi, and Morewedge (2019).In both Experiments 1 and 4 from their paper, it is not possible to determine whether accuracy can compensate for algorithm aversion.Experiments 3A-C, Bumper Plates however, do show a strong effect of accura

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Segmentation of Medical Images using Fuzzy Mathematical Morphology

Currently, Mathematical Morphology (MM) has become a powerful tool in Digital Image Processing (DIP).It allows processing images to enhance fuzzy areas, segment objects, detect edges and analyze structures.The techniques developed for binary images are a major step forward in the application of this theory to gray C+BIOFLAVONOIDS level images.One o

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