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pro vyhledávání: '"Ward, Joshua"'
The promise of tabular generative models is to produce realistic synthetic data that can be shared and safely used without dangerous leakage of information from the training set. In evaluating these models, a variety of methods have been proposed to
Externí odkaz:
http://arxiv.org/abs/2406.13012
The increasing usage of machine learning models in consequential decision-making processes has spurred research into the fairness of these systems. While significant work has been done to study group fairness in the in-processing and post-processing
Externí odkaz:
http://arxiv.org/abs/2403.07780
Autor:
Ward, Joshua T.
In the present work, the variation in through-thickness residual stress profiles driven by elastic anisotropy is investigated using the incremental hole-drilling method. The standardized hole-drilling technique allows for the calculation of in-plane
Publikováno v:
In Behavioural Brain Research 12 March 2024 461
Publikováno v:
International Journal of Emergency Medicine. 1/4/2024, Vol. 17 Issue 1, p1-8. 8p.
Publikováno v:
In PET Clinics January 2023 18(1):123-133
Self Consistent Normal Mode Analysis (SCNMA) is applied to heme c type cytochrome f to study temperature dependent protein motion. Classical Normal Mode Analysis (NMA) assumes harmonic behavior and the protein Mean Square Displacement (MSD) has a lin
Externí odkaz:
http://arxiv.org/abs/1005.4424
Publikováno v:
AMA Marketing & Public Policy Academic Conference Proceedings. 2022, Vol. 32, p309-312. 4p.