Johannes De Smedt

1. Explainability in Process Outcome Prediction: Guidelines to Obtain Interpretable and Faithful Models
   2022/03/30 by Alexander Stevens, Johannes De Smedt, Stevens, Alexander +1 · 2 citations
   Business, Management and Accounting · Computer Science · #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
2. Domain Adaptation of LLMs for Process Data
   2025/09/03 by Rafael S. Oyamada, Oyamada, Rafael Seidi, Jari Peeperkorn +5 · 3 citations
   Business, Management and Accounting · Computer Science · #Business Process Modeling and Analysis #Software System Performance and Reliability #Topic Modeling
3. Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes
   2024/03/14 by Alexander Stevens, Chun Ouyang, Stevens, Alexander +5 · 1 citation
   Business, Management and Accounting · #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #FOS: Computer and information sciences
4. Feature Attribution-Based Explainability Analysis of Deep Learning Models in Predictive Process Monitoring
   2026/07/20 by Kseniya Sahatova, Rafael Seidi Oyamada, Xuefei Lu +1
   #cs.LG #cs.AI