145 citations · 564 across the 20 of their papers we have counts for
Showing 2020Show all
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cs.LG2020★ 4 cited
PMLB v1.0: An open source dataset collection for benchmarking machine learning methods
Joseph D. Romano, Trang T. Le, William La Cava +7
Motivation: Novel machine learning and statistical modeling studies rely on standardized comparisons to existing methods using well-studied benchmark datasets. Few tools exist that…
eess.SY2020★ 16 cited
Theory Manual for the Tuned Mass Damper Module in FAST v8
William La Cava, Matthew A. Lackner
This manual describes the theory underlying new functionality in FAST 8 that simulates the addition of tuned mass dampers in the nacelle for structural control.
cs.NE2020★ 16 cited
Genetic programming approaches to learning fair classifiers
William La Cava, Jason H. Moore
Society has come to rely on algorithms like classifiers for important decision making, giving rise to the need for ethical guarantees such as fairness. Fairness is typically define…