Papers In Preparation

[12] Stevens, A. Ouyang, C., De Smedt, J., Moreira, C., Generating Feasible and Plausible Counterfactual Explanations for Predictive Process Analytics.

Papers In Submission

2023

[11] J. De Smedt, Stevens, A., De Weerdt, J., vanden Broucke, S., Does the Case Matter? Process Predictions Balancing Log and Trace Information with Co-attention.

[10] Reusens, M., Stevens, A., Tonglet, J., De Smedt, J., Verbeke, W., vanden Broucke, S., Baesens, B., Evaluating Text Classification: A Benchmark Study

Accepted Papers

2023

[9] Stevens, A., De Smedt, J., Explainability in Process Outcome Prediction: Guidelines to Obtain Interpretable and Faithful Models. European Journal on Operational Research.

[8] Stevens, A. Peeperkorn, J. De Smedt, J., De Weerdt, J., Manifold Learning to Improve Robustness and Generalization in Process Outcome Prediction. International Conference on Process Mining

[7] Peeperkorn, J., Vázquez, C.O., Stevens, A., De Smedt, J., vanden Broucke, S. and De Weerdt, J., Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs. International Conference on Process Mining.

2022

[6] Stevens, A., De Smedt, J., Peeperkorn, J. and De Weerdt, J., 2022. Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks. International Conference on Process Mining.

[5] Stevens, A., De Smedt, J. and Peeperkorn, J., 2022. Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring. In International Conference on Process Mining (pp. 194-206). Springer, Cham.

2020

[4] Stevens, A., Deruyck, P., Van Veldhoven, Z. and Vanthienen, J., 2020, December. Explainability and Fairness in Machine Learning: Improve Fair End-to-end Lending for Kiva. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1241-1248). IEEE.

Accepted Abstracts

2023

[3] Reusens, M., Stevens, A., Tonglet, J., De Smedt, J., Verbeke, W., vanden Broucke, S., Baesens, B., Evaluating Text Classification: A Benchmark Study, Conference of the International Federation of Operational Research Societies

[2] Reusens, M., Stevens, A., Tonglet, J., De Smedt, J., Verbeke, W., vanden Broucke, S., Baesens, B., Belgian Operational Research Society.

[1] Stevens, A. Peeperkorn, J. De Smedt, J., De Weerdt, J., 2023. Manifold Learning in Predictive Process Monitoring. Belgian Operational Research Society.