Meta-Learning Approaches for a One-Shot Collective-Decision Aggregation: Correctly Choosing how to Choose Correctly

no code implementations • 3 Apr 2022 • Hilla Shinitzky, Yuval Shahar, Ortal Parpara, Michal Ezrets, Raz Klein

In addition, we offer a new aggregation method, the Devil's-Advocate aggregator, to deal with cases in which standard aggregation methods are predicted to fail.

Decision Making Feature Engineering +1

Exploiting Meta-Cognitive Features for a Machine-Learning-Based One-Shot Group-Decision Aggregation

no code implementations • 20 Jan 2022 • Hilla Shinitzky, Yuval Shahar, Dan Avraham, Yizhak Vaisman, Yakir Tsizer, Yaniv Leedon

To evaluate our methodology, we collected 2490 responses for different tasks, which we used for feature engineering and for the training of ML models.

Decision Making Feature Engineering