Track I: Foundations
| Authors | Title |
|---|---|
| Jan Niklas Adams, Emilie Hastrup-Kiil, Gyunam Park and Wil van der Aalst | Super Variants |
| Felix Schumann and Stefanie Rinderle-Ma | Optimizing Resource-Driven Process Configuration through Genetic Algorithms |
| Francesco Vinci and Massimiliano de Leoni | Repairing Process Models through Simulation and Explainable AI |
| Jan Niklas van Detten, Pol Schumacher and Sander J.J. Leemans | Object Synchronizations and Specializations with Silent Objects in Object-Centric Petri Nets |
| Flavio Corradini, Jessica Piccioni, Barbara Re, Lorenzo Rossi and Francesco Tiezzi | On the interplay between BPMN collaborations and the physical environment |
| Harry Herbert Beyel and Wil van der Aalst | Improving Process Discovery Using Translucent Activity Relationships |
| Joscha GrĂĽger, Martin Kuhn, Christoph Matheja and Andrey Rivkin | Data Petri Nets meet Probabilistic Programming |
| Alessandro Burigana, Alessandro Gianola, Marco Montali and Sarah Winkler | Glocal Conformance Checking |
| Ivan Donadello, Paolo Felli, Fabrizio Maria Maggi, Marco Montali and Craig Innes | Conformance Checking of Fuzzy Logs against Declarative Temporal Specifications |
Track II: Engineering
| Authors | Title |
|---|---|
| Andrea Maldonado, Christian M. M. Frey, Gabriel Marques Tavares, Nikolina Rehwald and Thomas Seidl | GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining |
| Antonio MartĂnez Rojas, Antonio RodrĂguez-Ruiz, JosĂ© González EnrĂquez and AndrĂ©s JimĂ©nez RamĂrez | What’s Behind the Screen? Unveiling UI Hierarchies in Process-Related UI Logs |
| Johannes Roider, Dario Zanca and Björn Eskofier | Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring |
| Michael Grohs, Han van der Aa and Jana-Rebecca Rehse | Beyond Log and Model Moves in Conformance Checking: Discovering Process-Level Deviation Patterns |
| Kiran Busch, Timotheus Kampik and Henrik Leopold | xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence Models |
| Alexander Kraus and Han van der Aa | Looking for Change: A Computer Vision Approach for Concept Drift Detection in Process Mining |
| Martin Käppel, Lars Ackermann, Stefan Jablonski and Simon Härtl | Attention Please: What Transformer Models Really Learn for Process Prediction |
| Alessandro Padella, Felix Mannhardt, Francesco Vinci, Massimiliano de Leoni and Irene Vanderfeesten | Experience Based Resource Allocation for Remaining Time Optimization |
| Andrei Buliga, Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Remco Dijkman, Chiara Di Francescomarino, Chiara Ghidini and Hajo Reijers | Uncovering patterns for local explanations in outcome-based Predictive Process Monitoring |
| Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior and Paolo Ceravolo | CoSMo: a Framework to Instantiate Conditioned Process Simulation Models |
| Francesca Meneghello, Jeroen Middelhuis, Massimiliano Ronzani, Laura Genga, Zaharah Bukhsh, Chiara Di Francescomarino, Chiara Ghidini and Remco Dijkman | Optimizing Resource Allocation Policies in Real-World Business Processes using Hybrid Process Simulation and Deep Reinforcement Learning |
| Ioannis Mavroudopoulos, Konstantinos Varvoutas, Georgia Kougka, Anastasios Gounaris and Marco Comuzzi | Exploiting general purpose big-data frameworks in process mining: the case of declarative process discovery |
| Eduardo Goulart Rocha, Sebastiaan Johannes van Zelst and Wil van der Aalst | Mining Behavioral Patterns for Conformance Diagnostics |
Track III: Management
| Authors | Title |
|---|---|
| Maximilian Vitzethum, Alexander Mayr and Christian Janiesch | Categories of Business Value of Robotic Process Automation: A Study of Benefits and Challenges |
| Cheng Miao, Heemeng Ho, Elinor Tsen, John Gilmour and Ryan Kl Ko | SCP-BP Framework: Situational Crime Prevention for Managing Data Breaches in Business Processes |
| Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Alexander Nolte and Marlon Dumas | Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring |
| Yotam Evron, Anna Zamansky and Pnina Soffer | Anticipating Data Inaccuracy Consequences in Business Processes: An Empirical Study |
| Marco Franceschetti, Amine Abbad Andaloussi, Clemens Schreiber, Hugo A. LĂłpez and Barbara Weber | Exploring the Cognitive Effects of Ambiguity in Process Models |
| Artur Modlinski, Damian Kedziora, Joanna Kedziora, Andrzej Hak, Jaroslaw Motylewski, Hajo A. Reijers and Adela del-RĂo-Ortega | Techno-empowerment of Process Automation: Understanding Employee Acceptance of Autonomous AI in Business Processes |
| Katsiaryna Lashkevich, Fredrik Milani, Maksym Avramenko and Marlon Dumas | LLM-Assisted Optimization of Waiting Time in Business Processes: A Prompting Method |