Alexander Stevens

According to our database, Alexander Stevens authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Crafting Imperceptible On-Manifold Adversarial Attacks for Tabular Data.

Zhipeng He, Alexander Stevens, Chun Ouyang, Johannes De Smedt, Alistair Barros, Catarina Moreira

CoRR, July, 2025

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, July, 2025

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

Explainability in process outcome prediction: Guidelines to obtain interpretable and faithful models.

Alexander Stevens, Johannes De Smedt

Eur. J. Oper. Res., 2024

Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders.

Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt

CoRR, 2024

Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes.

Alexander Stevens, Chun Ouyang, Johannes De Smedt, Catarina Moreira

CoRR, 2024

2023

Manifold Learning for Adversarial Robustness in Predictive Process Monitoring.

Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt

Proceedings of the 5th International Conference on Process Mining, 2023

2022

Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks.

Alexander Stevens, Johannes De Smedt, Jari Peeperkorn, Jochen De Weerdt

Proceedings of the 4th International Conference on Process Mining, 2022

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

Proceedings of the Process Mining Workshops, 2022

2021

Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring.

Alexander Stevens, Johannes De Smedt, Jari Peeperkorn

Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

2020

Explainability and Fairness in Machine Learning: Improve Fair End-to-end Lending for Kiva.

Alexander Stevens, Peter Deruyck, Ziboud Van Veldhoven, Jan Vanthienen

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020