Search Results for author: London Lowmanstone

Found 2 papers, 2 papers with code

Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model Predictions

1 code implementation24 May 2023 London Lowmanstone, Ruyuan Wan, Risako Owan, Jaehyung Kim, Dongyeop Kang

In our analysis of the results, we found that the choice of imputation method significantly impacts soft label changes and distribution.

Imputation valid

SIERRA: A Modular Framework for Research Automation

1 code implementation3 Mar 2022 John Harwell, London Lowmanstone, Maria Gini

Modern intelligent systems researchers employ the scientific method: they form hypotheses about system behavior, and then run experiments using one or more independent variables to test their hypotheses.

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