3 citations · 7 across the 9 of their papers we have counts for
3 papers · 1 filter
Counterfactual Explanations for Integer Optimization Problems
Felix Engelhardt, Jannis Kurtz, Ş. İlker Birbil +1
Counterfactual explanations (CEs) offer a human-understandable way to explain decisions by identifying specific changes to the input parameters of a base or present model that woul…
A K-adaptability Approach to Proton Radiation Therapy Robust Treatment Planning
Zihang Qiu, Ali Ajdari, Mislav Bobić +4
Uncertainties such as setup and range errors can significantly compromise proton therapy. A discrete uncertainty set is often constructed to represent different uncertainty scenari…
Coherent Local Explanations for Mathematical Optimization
Daan Otto, Jannis Kurtz, S. Ilker Birbil
The surge of explainable artificial intelligence methods seeks to enhance transparency and explainability in machine learning models. At the same time, there is a growing demand fo…