Explainability and Fairness in Machine Learning: Improve Fair End-to-end Lending for Kiva. - Alexander Stevens; Peter Deruyck; Ziboud Van Veldhoven; Jan Vanthienen (SSCI, 2020)

Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring. - Alexander Stevens; Johannes De Smedt; Jari Peeperkorn (ICPM Workshops, 2021)

Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs. - Jari Peeperkorn; Carlos Ortega Vázquez; Alexander Stevens; Johannes De Smedt; Seppe vanden Broucke; Jochen De Weerdt (ICPM Workshops, 2022)

Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks. - Alexander Stevens; Johannes De Smedt; Jari Peeperkorn; Jochen De Weerdt (ICPM, 2022)

Manifold Learning for Adversarial Robustness in Predictive Process Monitoring. - Alexander Stevens; Jari Peeperkorn; Johannes De Smedt; Jochen De Weerdt (ICPM, 2023)

Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes. - Alexander Stevens; Chun Ouyang 001; Johannes De Smedt; Catarina Moreira (CoRR, 2024)

Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders. - Alexander Stevens; Jari Peeperkorn; Johannes De Smedt; Jochen De Weerdt (CoRR, 2024)

Explainability in process outcome prediction: Guidelines to obtain interpretable and faithful models. - Alexander Stevens; Johannes De Smedt (Eur. J. Oper. Res., 2024)

Evaluating text classification: A benchmark study. - Manon Reusens; Alexander Stevens; Jonathan Tonglet; Johannes De Smedt; Wouter Verbeke; Seppe vanden Broucke; Bart Baesens (Expert Syst. Appl., 2024)

Leveraging Machine Learning and Enhanced Parallelism Detection for BPMN Model Generation from Text. - Phuong Nam Lê; Charlotte Schneider-Depré; Alexandre Goossens; Alexander Stevens; Aurélie Leribaux; Johannes De Smedt (CoRR, 2025)

Crafting Imperceptible On-Manifold Adversarial Attacks for Tabular Data. - Zhipeng He 002; Alexander Stevens; Chun Ouyang 001; Johannes De Smedt; Alistair Barros; Catarina Moreira (CoRR, 2025)