129 citations · 283 across the 26 of their papers we have counts for
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cs.LG2021
On the Value of ML Models
Fabio Casati, Pierre-André Noël, Jie Yang
We argue that, when establishing and benchmarking Machine Learning (ML) models, the research community should favour evaluation metrics that better capture the value delivered by t…
cs.LG2021
The Science of Rejection: A Research Area for Human Computation
Burcu Sayin, Jie Yang, Andrea Passerini +1
We motivate why the science of learning to reject model predictions is central to ML, and why human computation has a lead role in this effort.
cs.LG2021★ 3 cited
Active Hybrid Classification
Evgeny Krivosheev, Fabio Casati, Alessandro Bozzon
Hybrid crowd-machine classifiers can achieve superior performance by combining the cost-effectiveness of automatic classification with the accuracy of human judgment. This paper sh…