A model-agnostic and data-independent tabu search algorithm to generate counterfactuals for tabular, image, and text data

Author:

de Oliveira Raphael Mazzine BarbosaORCID,Sörensen Kenneth,Martens DavidORCID

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference84 articles.

1. Abadi, M., & et al (2015). TensorFlow: Large-scale machine learning on heterogeneous systems. Software available from https://www.tensorflow.org/.

2. Modeling, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions;Aliramezani;Progress in Energy and Combustion Science,2022

3. On the computation of counterfactual explanations–A survey;Artelt;arXiv preprint arXiv:1911.07749,2019

4. The hidden assumptions behind counterfactual explanations and principal reasons;Barocas,2020

5. Machine learning for combinatorial optimization: Amethodological tour d’horizon;Bengio;European Journal of Operational Research,2021

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