Prescriptive process monitoring under resource constraints: a causal inference approach M Shoush, M Dumas International Conference on Process Mining, 180-193, 2021 | 31 | 2021 |
When to intervene? prescriptive process monitoring under uncertainty and resource constraints M Shoush, M Dumas International Conference on Business Process Management, 207-223, 2022 | 21 | 2022 |
D2IA: User-defined interval analytics on distributed streams A Awad, R Tommasini, S Langhi, M Kamel, E Della Valle, S Sakr Information Systems 104, 101679, 2022 | 10 | 2022 |
Learning when to treat business processes: Prescriptive process monitoring with causal inference and reinforcement learning ZD Bozorgi, M Dumas, ML Rosa, A Polyvyanyy, M Shoush, I Teinemaa International Conference on Advanced Information Systems Engineering, 364-380, 2023 | 8 | 2023 |
DIA: Stream Analytics on User-Defined Event Intervals A Awad, R Tommasini, M Kamel, E Della Valle, S Sakr Advanced Information Systems Engineering: 31st International Conference …, 2019 | 5 | 2019 |
Intervening with confidence: Conformal prescriptive monitoring of business processes M Shoush, M Dumas arXiv preprint arXiv:2212.03710, 2022 | 2 | 2022 |
Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach M Shoush, M Dumas arXiv preprint arXiv:2307.06564, 2023 | | 2023 |
Kairos: A Tool for Prescriptive Monitoring of Business Processes. K Kubrak, L Botchorishvili, F Milani, M Dumas, A Nolte, M Shoush, Z Qu ICPM Doctoral Consortium/Demo, 2023 | | 2023 |
Prescriptive Monitoring of Business Processes Under Uncertainty and Resource Constraints. M Shoush CAiSE (Doctoral Consortium), 45-50, 2023 | | 2023 |