19 citations · 72 across the 23 of their papers we have counts for
3 papers · 1 filter
Machine Learning for K-adaptability in Two-stage Robust Optimization
Esther Julien, Krzysztof Postek, Ş. İlker Birbil
Two-stage robust optimization problems constitute one of the hardest optimization problem classes. One of the solution approaches to this class of problems is K-adaptability. This…
Counterfactual Explanations Using Optimization With Constraint Learning
Donato Maragno, Tabea E. Röber, Ilker Birbil
To increase the adoption of counterfactual explanations in practice, several criteria that these should adhere to have been put forward in the literature. We propose counterfactual…
Why we do need Explainable AI for Healthcare
Giovanni Cinà, Tabea Röber, Rob Goedhart +1
The recent spike in certified Artificial Intelligence (AI) tools for healthcare has renewed the debate around adoption of this technology. One thread of such debate concerns Explai…