Zahra Dasht Bozorgi

According to our database, Zahra Dasht Bozorgi authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Prescriptive process monitoring based on causal effect estimation.

Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy

Inf. Syst., June, 2023

Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning.

Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa

Proceedings of the Advanced Information Systems Engineering, 2023

2022

ProLift: Automated Discovery of Causal Treatment Rules From Event Logs (Extended Abstract).

Zahra Dasht Bozorgi, Aleksei Kopolov, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy

Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), 2022

Prescriptive Analytics for Business Processes Using Causal Inference (Extended Abstract).

Zahra Dasht Bozorgi

Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), 2022

2021

Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction.

Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa

CoRR, 2021

Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction.

Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy

Proceedings of the 3rd International Conference on Process Mining, 2021

A Causal Approach to Prescriptive Process Monitoring.

Zahra Dasht Bozorgi

Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2021 co-located with 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, September 6th - to, 2021

2020

Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs.

Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy

Proceedings of the 2nd International Conference on Process Mining, 2020

Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction.

Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani, Zahra Dasht Bozorgi, Ilya Verenich

Proceedings of the Business Process Management - 18th International Conference, 2020