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DTSTART;TZID=Europe/Stockholm:20240604T100400
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UID:submissions.pasc-conference.org_PASC24_sess158_posC108@linklings.com
SUMMARY:ACMP02 - Demographic Aware Hyperparameter Optimization for Cancer
DESCRIPTION:Poster\n\nRylie Weaver (Argonne National Laboratory, Claremont
  Graduate University)\n\nThe preliminary work presented here evaluates the
  robustness and bias of ML models by probing HPO behavior under different 
 demographic conditions, which is critical for the development of clinicall
 y-usable methods. By examining the different hyperparameter distributions 
 for a transformer based model along a male-female data split, we gain insi
 ght into the behavior and transferability of hyperparameters along imbalan
 ced datasets in this area.\n\nSession Chair: Iva Kavcic (Met Office)
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