default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID22nd Business Process Management 2024: Krakow, Poland
- Andrea Marrella
, Manuel Resinas, Mieke Jans, Michael Rosemann:
Business Process Management - 22nd International Conference, BPM 2024, Krakow, Poland, September 1-6, 2024, Proceedings. Lecture Notes in Computer Science 14940, Springer 2024, ISBN 978-3-031-70395-9
Foundations
- Felix Schumann, Stefanie Rinderle-Ma:
Optimizing Resource-Driven Process Configuration Through Genetic Algorithms. 3-20 - Martin Kuhn, Joscha Grüger, Christoph Matheja, Andrey Rivkin:
Data Petri Nets Meet Probabilistic Programming. 21-38 - Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali:
Conformance Checking of Fuzzy Logs Against Declarative Temporal Specifications. 39-56 - Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans:
Object Synchronizations and Specializations with Silent Objects in Object-Centric Petri Nets. 57-74 - Alessandro Burigana, Alessandro Gianola, Marco Montali, Sarah Winkler:
Glocal Conformance Checking. 75-92 - Flavio Corradini, Jessica Piccioni, Barbara Re, Lorenzo Rossi, Francesco Tiezzi:
On the Interplay Between BPMN Collaborations and the Physical Environment. 93-110 - Jan Niklas Adams, Emilie Hastrup-Kiil, Gyunam Park, Wil M. P. van der Aalst:
Super Variants. 111-128 - Francesco Vinci, Massimiliano de Leoni:
Repairing Process Models Through Simulation and Explainable AI. 129-145 - Harry H. Beyel, Wil M. P. van der Aalst:
Improving Process Discovery Using Translucent Activity Relationships. 146-163
Engineering
- Francesca Meneghello, Jeroen Middelhuis, Laura Genga, Zaharah Bukhsh, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini, Remco M. Dijkman:
Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning. 167-184 - Ioannis Mavroudopoulos, Konstantinos Varvoutas, Georgia Kougka, Anastasios Gounaris, Marco Comuzzi:
Exploiting General Purpose Big-Data Frameworks in Process Mining: The Case of Declarative Process Discovery. 185-202 - Martin Käppel, Lars Ackermann, Stefan Jablonski, Simon Härtl:
Attention Please: What Transformer Models Really Learn for Process Prediction. 203-220 - Andrea Maldonado, Christian M. M. Frey, Gabriel Marques Tavares, Nikolina Rehwald, Thomas Seidl:
GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining. 221-237 - Johannes Roider, Dario Zanca, Bjoern M. Eskofier:
Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring. 238-255 - Antonio Martínez-Rojas, A. Rodríguez-Ruíz, José Gonzalez Enríquez, Andres Jimenez Ramirez:
What's Behind the Screen? Unveiling UI Hierarchies in Process-Related UI Logs. 256-272 - Alexander Kraus, Han van der Aa:
Looking for Change: A Computer Vision Approach for Concept Drift Detection in Process Mining. 273-290 - Eduardo Goulart Rocha, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Mining Behavioral Patterns for Conformance Diagnostics. 291-308 - Kiran Busch, Timotheus Kampik, Henrik Leopold:
xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence Models. 309-327 - Rafael Seidi Oyamada, Gabriel Marques Tavares, Sylvio Barbon Junior, Paolo Ceravolo:
CoSMo: A Framework to Instantiate Conditioned Process Simulation Models. 328-344 - Alessandro Padella, Felix Mannhardt, Francesco Vinci, Massimiliano de Leoni, Irene Vanderfeesten:
Experience-Based Resource Allocation for Remaining Time Optimization. 345-362 - Andrei Buliga, Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Remco M. Dijkman, Chiara Di Francescomarino, Chiara Ghidini, Hajo A. Reijers:
Uncovering Patterns for Local Explanations in Outcome-Based Predictive Process Monitoring. 363-380 - Michael Grohs, Han van der Aa, Jana-Rebecca Rehse:
Beyond Log and Model Moves in Conformance Checking: Discovering Process-Level Deviation Patterns. 381-399
Management
- Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Alexander Nolte, Marlon Dumas:
Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring. 403-420 - Maximilian Vitzethum, Alexander Mayr, Christian Janiesch:
Categories of Business Value of Robotic Process Automation: A Study of Benefits and Challenges. 421-438 - Yotam Evron, Pnina Soffer, Anna Zamansky:
Anticipating Data Inaccuracy Consequences in Business Processes: an Empirical Study. 439-455 - Cheng Miao, Heemeng Ho, Elinor Tsen, John Gilmour, Ryan K. L. Ko:
Scp-bp Framework: Situational Crime Prevention for Managing Data Breaches in Business Processes. 456-473 - Katsiaryna Lashkevich, Fredrik Milani, Maksym Avramenko, Marlon Dumas:
LLM-Assisted Optimization of Waiting Time in Business Processes: A Prompting Method. 474-492 - Marco Franceschetti, Amine Abbad Andaloussi, Clemens Schreiber, Hugo A. López, Barbara Weber:
Exploring the Cognitive Effects of Ambiguity in Process Models. 493-510 - Artur Modlinski, Damian Kedziora, Andrzej Hak, Jaroslaw Motylewski, Joanna Kedziora, Hajo A. Reijers, Adela del-Río-Ortega:
Techno-empowerment of Process Automation: Understanding Employee Acceptance of Autonomous AI in Business Processes. 511-527
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-10-27 23:36 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
