| 2024 | Anticipating Data Inaccuracy Consequences in Business Processes: an Empirical Study. Yotam Evron, Pnina Soffer, Anna Zamansky |
| 2024 | Attention Please: What Transformer Models Really Learn for Process Prediction. Martin Käppel, Lars Ackermann, Stefan Jablonski, Simon Härtl |
| 2024 | Beyond Log and Model Moves in Conformance Checking: Discovering Process-Level Deviation Patterns. Michael Grohs, Han van der Aa, Jana-Rebecca Rehse |
| 2024 | Business Process Management - 22nd International Conference, BPM 2024, Krakow, Poland, September 1-6, 2024, Proceedings Andrea Marrella, Manuel Resinas, Mieke Jans, Michael Rosemann |
| 2024 | Categories of Business Value of Robotic Process Automation: A Study of Benefits and Challenges. Maximilian Vitzethum, Alexander Mayr, Christian Janiesch |
| 2024 | CoSMo: A Framework to Instantiate Conditioned Process Simulation Models. Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo |
| 2024 | Conformance Checking of Fuzzy Logs Against Declarative Temporal Specifications. Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali |
| 2024 | Data Petri Nets Meet Probabilistic Programming. Martin Kuhn, Joscha Grüger, Christoph Matheja, Andrey Rivkin |
| 2024 | Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring. Johannes Roider, Dario Zanca, Bjoern M. Eskofier |
| 2024 | Experience-Based Resource Allocation for Remaining Time Optimization. Alessandro Padella, Felix Mannhardt, Francesco Vinci, Massimiliano de Leoni, Irene Vanderfeesten |
| 2024 | Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring. Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Alexander Nolte, Marlon Dumas |
| 2024 | Exploiting General Purpose Big-Data Frameworks in Process Mining: The Case of Declarative Process Discovery. Ioannis Mavroudopoulos, Konstantinos Varvoutas, Georgia Kougka, Anastasios Gounaris, Marco Comuzzi |
| 2024 | Exploring the Cognitive Effects of Ambiguity in Process Models. Marco Franceschetti, Amine Abbad-Andaloussi, Clemens Schreiber, Hugo A. López, Barbara Weber |
| 2024 | GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining. Andrea Maldonado, Christian M. M. Frey, Gabriel Marques Tavares, Nikolina Rehwald, Thomas Seidl |
| 2024 | Glocal Conformance Checking. Alessandro Burigana, Alessandro Gianola, Marco Montali, Sarah Winkler |
| 2024 | Improving Process Discovery Using Translucent Activity Relationships. Harry H. Beyel, Wil M. P. van der Aalst |
| 2024 | LLM-Assisted Optimization of Waiting Time in Business Processes: A Prompting Method. Katsiaryna Lashkevich, Fredrik Milani, Maksym Avramenko, Marlon Dumas |
| 2024 | Looking for Change: A Computer Vision Approach for Concept Drift Detection in Process Mining. Alexander Kraus, Han van der Aa |
| 2024 | Mining Behavioral Patterns for Conformance Diagnostics. Eduardo Goulart Rocha, Sebastiaan J. van Zelst, Wil M. P. van der Aalst |
| 2024 | Object Synchronizations and Specializations with Silent Objects in Object-Centric Petri Nets. Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans |
| 2024 | On the Interplay Between BPMN Collaborations and the Physical Environment. Flavio Corradini, Jessica Piccioni, Barbara Re, Lorenzo Rossi, Francesco Tiezzi |
| 2024 | Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning. Francesca Meneghello, Jeroen Middelhuis, Laura Genga, Zaharah Allah Bukhsh, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini, Remco M. Dijkman |
| 2024 | Optimizing Resource-Driven Process Configuration Through Genetic Algorithms. Felix Schumann, Stefanie Rinderle-Ma |
| 2024 | Repairing Process Models Through Simulation and Explainable AI. Francesco Vinci, Massimiliano de Leoni |
| 2024 | Scp-bp Framework: Situational Crime Prevention for Managing Data Breaches in Business Processes. Cheng Miao, Heemeng Ho, Elinor Tsen, John Gilmour, Ryan K. L. Ko |
| 2024 | Super Variants. Jan Niklas Adams, Emilie Hastrup-Kiil, Gyunam Park, Wil M. P. van der Aalst |
| 2024 | Techno-empowerment of Process Automation: Understanding Employee Acceptance of Autonomous AI in Business Processes. Artur Modlinski, Damian Kedziora, Andrzej Hak, Jaroslaw Motylewski, Joanna Kedziora, Hajo A. Reijers, Adela del-Río-Ortega |
| 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 |
| 2024 | What's Behind the Screen? Unveiling UI Hierarchies in Process-Related UI Logs. Antonio Martínez-Rojas, A. Rodríguez-Ruíz, José Gonzalez Enríquez, Andres Jimenez Ramirez |
| 2024 | xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence Models. Kiran Busch, Timotheus Kampik, Henrik Leopold |