| Counterfactuals and ways to build them: Evaluating approaches in predictive process monitoring A Buliga, C Di Francescomarino, C Ghidini, FM Maggi International Conference on Advanced Information Systems Engineering, 558-574, 2023 | 12 | 2023 |
| Uncovering patterns for local explanations in outcome-based predictive process monitoring A Buliga, M Vazifehdoostirani, L Genga, X Lu, R Dijkman, ... International Conference on Business Process Management, 363-380, 2024 | 2 | 2024 |
| Recommending the optimal policy by learning to act from temporal data S Branchi, A Buliga, C Di Francescomarino, C Ghidini, F Meneghello, ... arXiv preprint arXiv:2303.09209, 2023 | 2 | 2023 |
| Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring A Buliga, C Di Francescomarino, C Ghidini, I Donadello, FM Maggi arXiv preprint arXiv:2403.11642, 2024 | 1 | 2024 |
| Generating the Traces You Need: A Conditional Generative Model for Process Mining Data R Graziosi, M Ronzani, A Buliga, C Di Francescomarino, F Folino, ... 2024 6th International Conference on Process Mining (ICPM), 25-32, 2024 | | 2024 |
| Predictive Insights for Personalising Esophagogastric Cancer Treatment Process-A Case Study M Vazifehdoostirani, A Buliga, L Genga, R Verhoeven, RM Dijkman International Conference on Process Mining: ICPM 2024 PODS4H Workshops, 2024 | | 2024 |
| Nirdizati Light: A Modular Framework for Explainable Predictive Process Monitoring A Buliga, R Graziosi, C Di Francescomarino, C Ghidini, FM Maggi, ... Proceedings of the Best Dissertation Award, Doctoral Consortium, and …, 2024 | | 2024 |
