708 citations · 1k across the 22 of their papers we have counts for
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cs.LG2021★ 2 cited
Data Excellence for AI: Why Should You Care
Lora Aroyo, Matthew Lease, Praveen Paritosh +1
The efficacy of machine learning (ML) models depends on both algorithms and data. Training data defines what we want our models to learn, and testing data provides the means by whi…
stat.AP2021★ 5 cited
Cross-replication Reliability -- An Empirical Approach to Interpreting Inter-rater Reliability
Ka Wong, Praveen Paritosh, Lora Aroyo
We present a new approach to interpreting IRR that is empirical and contextualized. It is based upon benchmarking IRR against baseline measures in a replication, one of which is a…