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Titlebook: Makromodellierung von Geschäftsprozessen; Kundenorientierte Pr Dietmar Schantin Book 2004 Deutscher Universitäts-Verlag/GWV Fachverlage Gmb

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Dietmar Schantinerlooked so far, it is important to understand the impact it may have in the context of FER. To do so, we use a popular FER dataset, FER+, to generate derivative datasets with different amounts of stereotypical bias by altering the gender proportions of certain labels. We then proceed to measure the
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Dietmar Schantinerlooked so far, it is important to understand the impact it may have in the context of FER. To do so, we use a popular FER dataset, FER+, to generate derivative datasets with different amounts of stereotypical bias by altering the gender proportions of certain labels. We then proceed to measure the
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Dietmar Schantinact and likelihood levels on a scale of 1 to 3..Different algorithms were tested to compare the results obtained by high performance but non-interpretable algorithms (., Support Vector Machine) and the ones obtained by interpretable algorithms (., Random Forest), whose performance tends to be lower
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Dietmar Schantinresent an object surface by millions of polygons which allows such representations to be visualized interactively in real-time. Obviously, to take advantage of these technological advances, the 3D models constructed must capture to the maximum extent possible of the shape and surface-texture informa
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