452 citations · 870 across the 33 of their papers we have counts for
3 papers · 1 filter
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration
Gavin Kerrigan, Padhraic Smyth, Mark Steyvers
An increasingly common use case for machine learning models is augmenting the abilities of human decision makers. For classification tasks where neither the human or model are perf…
Automating Data Science: Prospects and Challenges
Tijl De Bie, Luc De Raedt, José Hernández-Orallo +3
Given the complexity of typical data science projects and the associated demand for human expertise, automation has the potential to transform the data science process. Key insight…
Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations
Hyungrok Do, Shinjini Nandi, Preston Putzel +2
In data collection for predictive modeling, under-representation of certain groups, based on gender, race/ethnicity, or age, may yield less-accurate predictions for these groups. R…