Abstract is missing.
- Optimizing Resource-Driven Process Configuration Through Genetic AlgorithmsFelix Schumann, Stefanie Rinderle-Ma. 3-20 [doi]
- Data Petri Nets Meet Probabilistic ProgrammingMartin Kuhn, Joscha Grüger, Christoph Matheja, Andrey Rivkin. 21-38 [doi]
- Conformance Checking of Fuzzy Logs Against Declarative Temporal SpecificationsIvan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali. 39-56 [doi]
- Object Synchronizations and Specializations with Silent Objects in Object-Centric Petri NetsJan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans. 57-74 [doi]
- Glocal Conformance CheckingAlessandro Burigana, Alessandro Gianola, Marco Montali, Sarah Winkler. 75-92 [doi]
- On the Interplay Between BPMN Collaborations and the Physical EnvironmentFlavio Corradini, Jessica Piccioni, Barbara Re 0001, Lorenzo Rossi 0001, Francesco Tiezzi 0001. 93-110 [doi]
- Super VariantsJan Niklas Adams, Emilie Hastrup-Kiil, Gyunam Park, Wil M. P. van der Aalst. 111-128 [doi]
- Repairing Process Models Through Simulation and Explainable AIFrancesco Vinci, Massimiliano de Leoni. 129-145 [doi]
- Improving Process Discovery Using Translucent Activity RelationshipsHarry H. Beyel, Wil M. P. van der Aalst. 146-163 [doi]
- Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement LearningFrancesca Meneghello, Jeroen Middelhuis, Laura Genga, Zaharah Bukhsh, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini, Remco M. Dijkman. 167-184 [doi]
- Exploiting General Purpose Big-Data Frameworks in Process Mining: The Case of Declarative Process DiscoveryIoannis Mavroudopoulos, Konstantinos Varvoutas, Georgia Kougka, Anastasios Gounaris, Marco Comuzzi. 185-202 [doi]
- Attention Please: What Transformer Models Really Learn for Process PredictionMartin Käppel, Lars Ackermann, Stefan Jablonski, Simon Härtl. 203-220 [doi]
- GEDI: Generating Event Data with Intentional Features for Benchmarking Process MiningAndrea Maldonado 0001, Christian M. m. Frey, Gabriel Marques Tavares, Nikolina Rehwald, Thomas Seidl 0001. 221-237 [doi]
- Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process MonitoringJohannes Roider, Dario Zanca, Bjoern M. Eskofier. 238-255 [doi]
- What's Behind the Screen? Unveiling UI Hierarchies in Process-Related UI LogsAntonio Martínez-Rojas, A. Rodríguez-Ruíz, José Gonzalez Enríquez, Andres Jimenez Ramirez. 256-272 [doi]
- Looking for Change: A Computer Vision Approach for Concept Drift Detection in Process MiningAlexander Kraus 0001, Han van der Aa. 273-290 [doi]
- Mining Behavioral Patterns for Conformance DiagnosticsEduardo Goulart Rocha, Sebastiaan J. van Zelst, Wil M. P. van der Aalst. 291-308 [doi]
- xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence ModelsKiran Busch, Timotheus Kampik, Henrik Leopold. 309-327 [doi]
- CoSMo: A Framework to Instantiate Conditioned Process Simulation ModelsRafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo. 328-344 [doi]
- Experience-Based Resource Allocation for Remaining Time OptimizationAlessandro Padella, Felix Mannhardt, Francesco Vinci, Massimiliano de Leoni, Irene Vanderfeesten. 345-362 [doi]
- Uncovering Patterns for Local Explanations in Outcome-Based Predictive Process MonitoringAndrei Buliga, Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu 0001, Remco M. Dijkman, Chiara Di Francescomarino, Chiara Ghidini, Hajo A. Reijers. 363-380 [doi]
- Beyond Log and Model Moves in Conformance Checking: Discovering Process-Level Deviation PatternsMichael Grohs, Han van der Aa, Jana-Rebecca Rehse. 381-399 [doi]
- Explanatory Capabilities of Large Language Models in Prescriptive Process MonitoringKateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Alexander Nolte, Marlon Dumas. 403-420 [doi]
- Categories of Business Value of Robotic Process Automation: A Study of Benefits and ChallengesMaximilian Vitzethum, Alexander Mayr, Christian Janiesch. 421-438 [doi]
- Anticipating Data Inaccuracy Consequences in Business Processes: an Empirical StudyYotam Evron, Pnina Soffer, Anna Zamansky. 439-455 [doi]
- Scp-bp Framework: Situational Crime Prevention for Managing Data Breaches in Business ProcessesCheng Miao, Heemeng Ho, Elinor Tsen, John Gilmour, Ryan K. L. Ko. 456-473 [doi]
- LLM-Assisted Optimization of Waiting Time in Business Processes: A Prompting MethodKatsiaryna Lashkevich, Fredrik Milani, Maksym Avramenko, Marlon Dumas. 474-492 [doi]
- Exploring the Cognitive Effects of Ambiguity in Process ModelsMarco Franceschetti, Amine Abbad Andaloussi, Clemens Schreiber, Hugo A. López 0001, Barbara Weber. 493-510 [doi]
- Techno-empowerment of Process Automation: Understanding Employee Acceptance of Autonomous AI in Business ProcessesArtur Modlinski, Damian Kedziora, Andrzej Hak, Jaroslaw Motylewski, Joanna Kedziora, Hajo A. Reijers, Adela del-Río-Ortega. 511-527 [doi]