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ORCIDZahra Dasht Bozorgi
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2020 – today
- 2024
[c8]Johnson Zhou, Abel Armas-Cervantes, Zahra Dasht Bozorgi, Ellen Otte, Artem Polyvyanyy:
Discovering Changes in Cell Stability Using Process Mining: A Case Study. ICPM 2024: 65-72- 2023
- [b1]Zahra Dasht Bozorgi:
Prescriptive Analytics of Business Processes Using Causal Inference. University of Melbourne, Parkville, Victoria, Australia, 2023 - [j1]Zahra Dasht Bozorgi
, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
Prescriptive process monitoring based on causal effect estimation. Inf. Syst. 116: 102198 (2023) - [c7]Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa:
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning. CAiSE 2023: 364-380 - [i4]Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa:
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning. CoRR abs/2303.03572 (2023) - 2022
- [c6]Zahra Dasht Bozorgi:
Prescriptive Analytics for Business Processes Using Causal Inference (Extended Abstract). ICPM Doctoral Consortium / Demo 2022: 27-31 - [c5]Zahra Dasht Bozorgi, Aleksei Kopolov, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
ProLift: Automated Discovery of Causal Treatment Rules From Event Logs (Extended Abstract). ICPM Doctoral Consortium / Demo 2022: 108-112 - 2021
- [c4]Zahra Dasht Bozorgi:
A Causal Approach to Prescriptive Process Monitoring. BPM (PhD/Demos) 2021: 62-66 - [c3]Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction. ICPM 2021: 96-103 - [i3]Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa:
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction. CoRR abs/2105.07111 (2021) - 2020
- [c2]Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani, Zahra Dasht Bozorgi, Ilya Verenich:
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction. BPM 2020: 237-256 - [c1]Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs. ICPM 2020: 129-136 - [i2]Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani, Zahra Dasht Bozorgi, Ilya Verenich:
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction. CoRR abs/2003.11268 (2020) - [i1]Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs. CoRR abs/2009.01561 (2020)
Coauthor Index
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