2 citations · 2 across the 2 of their papers we have counts for
4 papers
Multi-Criteria Comparison as a Method of Advancing Knowledge-Guided Machine Learning
Jason L. Harman, Jaelle Scheuerman
This paper describes a generalizable model evaluation method that can be adapted to evaluate AI/ML models across multiple criteria including core scientific principles and more pra…
Modeling Voters in Multi-Winner Approval Voting
Jaelle Scheuerman, Jason Harman, Nicholas Mattei +1
In many real world situations, collective decisions are made using voting and, in scenarios such as committee or board elections, employing voting rules that return multiple winner…
Heuristic Strategies in Uncertain Approval Voting Environments
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei +1
In many collective decision making situations, agents vote to choose an alternative that best represents the preferences of the group. Agents may manipulate the vote to achieve a b…
Heuristics in Multi-Winner Approval Voting
Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei +1
In many real world situations, collective decisions are made using voting. Moreover, scenarios such as committee or board elections require voting rules that return multiple winner…