6 citations · 18 across the 15 of their papers we have counts for
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cs.AI2022★ 2 cited
Measuring algorithmic interpretability: A human-learning-based framework and the corresponding cognitive complexity score
John P. Lalor, Hong Guo
Algorithmic interpretability is necessary to build trust, ensure fairness, and track accountability. However, there is no existing formal measurement method for algorithmic interpr…
cs.CL2022★ 6 cited
py-irt: A Scalable Item Response Theory Library for Python
John P. Lalor, Pedro Rodriguez
py-irt is a Python library for fitting Bayesian Item Response Theory (IRT) models. py-irt estimates latent traits of subjects and items, making it appropriate for use in IRT tasks…