Our work investigates the use of Surrogate Models (SMs) along with parallel execution to speed up parameter sensitivity analysis (SA).
Executing algorithm sensitivity analyses by systematically varying input parameters is an expensive task because a single evaluation run with a moderate number ...
Sensitivity analysis in digital pathology: Handling large number of parameters with compute expensive workflows ... Authors: Jeremias Gomes; Willian Barreiros ...
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Sensitivity analysis in digital pathology: Handling large number of parameters with compute expensive workflows. J Gomes, W Barreiros Jr, T Kurc, ACMA Melo ...
The aim of our study is to systematically quantify and minimize uncertainty in output of computer based pathology image analysis.
Jun 24, 2019 · In this work, we propose optimizations to reduce the overall computation cost of SA in the context of analysis applications that segment high-resolution slide ...
Fig. 6. SMs efficiency for the VBD analysis. Sensitivity analysis in digital pathology: Handling large number of parameters with compute expensive workflows.
Jun 24, 2019 · In this work, we propose optimizations to reduce the overall computation cost of SA in the context of analysis applications that segment high-resolution slide ...
Sensitivity analysis in digital pathology: Handling large number of parameters with compute expensive workflows. Authors: Gomes J. , Barreiros W. , Kurc T ...
Fig. 6. SMs efficiency for the VBD analysis. Sensitivity analysis in digital pathology: Handling large number of parameters with compute expensive workflows.