Alexander Stevens

14 papers B 2Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Crafting imperceptible on-manifold adversarial attacks for tabular data. Appl. Soft Comput. Zhipeng He, Alexander Stevens, Chun Ouyang, Johannes De Smedt, Alistair Barros, Catarina Moreira
2025	J	`jnl`	Approaches for IoT-enhanced predictive process monitoring. Process Sci. Yannis Bertrand, Alexander Stevens, Boje Deforce, Johannes De Smedt, Jochen De Weerdt, Estefanía Serral
2025	J	`jnl`	Crafting Imperceptible On-Manifold Adversarial Attacks for Tabular Data. CoRR Zhipeng He, Alexander Stevens, Chun Ouyang, Johannes De Smedt, Alistair Barros, Catarina Moreira
2025	J	`jnl`	Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes. IEEE Trans. Serv. Comput. Alexander Stevens, Chun Ouyang, Johannes De Smedt, Catarina Moreira
2025	J	`jnl`	Leveraging Machine Learning and Enhanced Parallelism Detection for BPMN Model Generation from Text. CoRR Phuong Nam Lê, Charlotte Schneider-Depré, Alexandre Goossens, Alexander Stevens, Aurélie Leribaux, Johannes De Smedt
2024	J	`jnl`	Evaluating text classification: A benchmark study. Expert Syst. Appl. Manon Reusens, Alexander Stevens, Jonathan Tonglet, Johannes De Smedt, Wouter Verbeke, Seppe vanden Broucke, Bart Baesens
2024	J	`jnl`	Explainability in process outcome prediction: Guidelines to obtain interpretable and faithful models. Eur. J. Oper. Res. Alexander Stevens, Johannes De Smedt
2024	J	`jnl`	Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes. CoRR Alexander Stevens, Chun Ouyang, Johannes De Smedt, Catarina Moreira
2024	J	`jnl`	Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders. CoRR Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2023	B	`conf`	Manifold Learning for Adversarial Robustness in Predictive Process Monitoring. ICPM Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2022	B	`conf`	Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks. ICPM Alexander Stevens, Johannes De Smedt, Jari Peeperkorn, Jochen De Weerdt
2022	—	`conf`	Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs. ICPM Workshops Jari Peeperkorn, Carlos Ortega Vázquez, Alexander Stevens, Johannes De Smedt, Seppe vanden Broucke, Jochen De Weerdt
2021	—	`conf`	Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring. ICPM Workshops Alexander Stevens, Johannes De Smedt, Jari Peeperkorn
2020	—	`conf`	Explainability and Fairness in Machine Learning: Improve Fair End-to-end Lending for Kiva. SSCI Alexander Stevens, Peter Deruyck, Ziboud Van Veldhoven, Jan Vanthienen