Andrei Buliga

According to our database, Andrei Buliga authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Learning optimal policies from event logs through reinforcement learning: A comparison of deep and MDP-based approaches.

Stefano Branchi, Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Riccardo Graziosi, Francesca Meneghello, Massimiliano Ronzani

Inf. Syst., 2026

Balancing KPIs Through Multi-objective Prescriptive Process Analytics.

Ngoc-Diem Le, Andrei Buliga, Massimiliano Ronzani, Alessandro Padella, Massimiliano de Leoni

Proceedings of the Advanced Information Systems Engineering, 2026

2025

Guiding the generation of counterfactual explanations through temporal background knowledge for predictive process monitoring.

Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Ivan Donadello, Fabrizio Maria Maggi

Data Min. Knowl. Discov., September, 2025

Generating multiperspective process traces using conditional variational autoencoders.

Riccardo Graziosi, Massimiliano Ronzani, Andrei Buliga, Chiara Di Francescomarino, Francesco Folino, Chiara Ghidini, Francesca Meneghello, Luigi Pontieri

Process Sci., 2025

Outcome-oriented local explanation using context-aware process patterns.

Mozhgan Vazifehdoostirani, Andrei Buliga, Laura Genga, Chiara Di Francescomarino, Massimiliano Ronzani, Chiara Ghidini, Remco M. Dijkman

Eng. Appl. Artif. Intell., 2025

T-ILR: a Neurosymbolic Integration for LTLf.

Riccardo Andreoni, Andrei Buliga, Alessandro Daniele, Chiara Ghidini, Marco Montali, Massimiliano Ronzani

Proceedings of The 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), 2025

Enhanced What-If Scenarios Generation by Bridging Generative Models and Process Simulation.

Andrei Buliga, Francesca Meneghello, Riccardo Graziosi, Massimiliano Ronzani

Proceedings of the 7th International Conference on Process Mining, 2025

Generating Counterfactual Explanations Under Temporal Constraints.

Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali, Massimiliano Ronzani

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Predictive Insights for Personalising Esophagogastric Cancer Treatment Process - A Case Study.

Mozhgan Vazifehdoostirani, Andrei Buliga, Laura Genga, Rob Verhoeven, Remco M. Dijkman

Proceedings of the Process Mining Workshops, 2024

Generating the Traces You Need: A Conditional Generative Model for Process Mining Data.

Riccardo Graziosi, Massimiliano Ronzani, Andrei Buliga, Chiara Di Francescomarino, Francesco Folino, Chiara Ghidini, Francesca Meneghello, Luigi Pontieri

Proceedings of the 6th International Conference on Process Mining, 2024

Uncovering Patterns for Local Explanations in Outcome-Based Predictive Process Monitoring.

Andrei Buliga, Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Remco M. Dijkman, Chiara Di Francescomarino, Chiara Ghidini, Hajo A. Reijers

Proceedings of the Business Process Management - 22nd International Conference, 2024

Nirdizati Light: A Modular Framework for Explainable Predictive Process Monitoring.

Andrei Buliga, Riccardo Graziosi, Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi, Massimiliano Ronzani

Proceedings of the Best Dissertation Award, 2024

2023

Recommending the optimal policy by learning to act from temporal data.

Stefano Branchi, Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Francesca Meneghello, Massimiliano Ronzani

CoRR, 2023

Counterfactuals and Ways to Build Them: Evaluating Approaches in Predictive Process Monitoring.

Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi

Proceedings of the Advanced Information Systems Engineering, 2023