Conference Papers:

Z. Wang, I. Miliou, I. Samsten, and P. Papapetrou, ‘Counterfactual Explanations for Time Series Forecasting’, in ICDM 2023 (to appear), arXiv: https://arxiv.org/abs/2310.08137

Z. Wang, I. Samsten, R. Mochaourab, and P. Papapetrou, ‘Learning Time Series Counterfactuals via Latent Space Representations’, in Discovery Science, Cham, 2021, pp. 369–384. DOI: 10.1007/978-3-030-88942-5_29. PDF preview: https://rdcu.be/cze5Y.

Z. Wang, I. Samsten, and P. Papapetrou, ‘Counterfactual Explanations for Survival Prediction of Cardiovascular ICU Patients’, in Artificial Intelligence in Medicine, Cham, 2021, pp. 338–348. DOI: 10.1007/978-3-030-77211-6_38. PDF preview: https://rdcu.be/cmfbO. (Best Student Paper Award)

Journal Articles:

Z. Wang, I. Samsten, V. Kougia, and P. Papapetrou, ‘Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients’, Artificial Intelligence in Medicine, p. 102457, Nov. 2022, doi: 10.1016/j.artmed.2022.102457.

Master Thesis:

Zhendong, Wang. (2018). ‘Error Pattern Recognition Using Machine Learning’ (Dissertation). Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150589