Dr. Sven Weinzierl

2025

• Dunzer S., Zilker S., Weinzierl S., Tang W., Dieckmann F., Stenglein S., Rist J., Matzner M.:
  A technology-specific process mining maturity grid for manufacturing and logistics
  In: International Journal of Production Research (2025)
  ISSN: 0020-7543
  DOI: 10.1080/00207543.2025.2451810
  URL: https://www.tandfonline.com/doi/full/10.1080/00207543.2025.2451810
  BibTeX: Download
• Herchenbach M., Weinzierl S., Zilker S., Schwulera E., Matzner M.:
  Adaptive AI-based causal control: Toward an autonomous factory in solder paste printing
  In: Computers in Industry (2025)
  ISSN: 0166-3615
  DOI: 10.1016/j.compind.2025.104256
  URL: https://www.sciencedirect.com/science/article/pii/S0166361525000211
  BibTeX: Download
• Kruschel S., Hambauer N., Weinzierl S., Zilker S., Kraus M., Zschech P.:
  Challenging the performance-interpretability trade-off: An evaluation of interpretable machine learning models
  In: Business & Information Systems Engineering (2025)
  ISSN: 1867-0202
  DOI: 10.1007/s12599-024-00922-2
  URL: https://link.springer.com/article/10.1007/s12599-024-00922-2
  BibTeX: Download
• Rosenberger J., Wolfrum L., Weinzierl S., Kraus M., Zschech P.:
  CareerBERT: Matching resumes to ESCO jobs in a shared embedding space for generic job recommendations
  In: Expert Systems With Applications 275 (2025), Art.Nr.: 127043
  ISSN: 0957-4174
  DOI: 10.1016/j.eswa.2025.127043
  BibTeX: Download
• Weinzierl S., Zilker S., Ließmann A., Käppel M., Wang W., Matzner M.:
  From source to target: Leveraging transfer learning for predictive process monitoring in organizations (Forthcoming)
  In: Business & Information Systems Engineering (2025)
  ISSN: 1867-0202
  BibTeX: Download
• Zschech P., Weinzierl S., Kraus M.:
  Inherently interpretable machine learning: A contrasting paradigm to post-hoc explainable AI (Forthcoming)
  In: Business & Information Systems Engineering (2025), S. 1 - 19
  ISSN: 1867-0202
  DOI: 10.1007/s12599-025-00964-0
  URL: https://link.springer.com/article/10.1007/s12599-025-00964-0
  BibTeX: Download

2024

• Kraus M., Tschernutter D., Weinzierl S., Zschech P.:
  Interpretable generalized additive neural networks
  In: European Journal of Operational Research (2024)
  ISSN: 0377-2217
  DOI: 10.1016/j.ejor.2023.06.032
  URL: https://www.sciencedirect.com/science/article/pii/S0377221723005027
  BibTeX: Download
• Weinzierl S., Zilker S., Dunzer S., Matzner M.:
  Machine learning in business process management: A systematic literature review
  In: Expert Systems With Applications 253 (2024), Art.Nr.: 124181
  ISSN: 0957-4174
  DOI: 10.1016/j.eswa.2024.124181
  URL: https://www.sciencedirect.com/science/article/pii/S0957417424010479
  BibTeX: Download
• Zilker S., Weinzierl S., Kraus M., Zschech P., Matzner M.:
  A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
  In: Health Care Management Science 27 (2024), S. 136-167
  ISSN: 1386-9620
  DOI: 10.1007/s10729-024-09673-8
  URL: https://link.springer.com/article/10.1007/s10729-024-09673-8#article-info
  BibTeX: Download

2023

• Oberdorf F., Schaschek M., Weinzierl S., Stein N., Matzner M., Flath C.:
  Predictive end-to-end enterprise process network monitoring
  In: Business & Information Systems Engineering (2023)
  ISSN: 1867-0202
  DOI: 10.1007/s12599-022-00778-4
  URL: https://link.springer.com/article/10.1007/s12599-022-00778-4
  BibTeX: Download

2022

• Weinzierl S., Wolf V., Pauli T., Beverungen D., Matzner M.:
  Detecting temporal workarounds in business processes – A deep-learning-based method for analysing event log data
  In: Journal of Business Analytics 5 (2022), S. 76-100
  ISSN: 2573-234X
  DOI: 10.1080/2573234X.2021.1978337
  URL: https://www.tandfonline.com/doi/full/10.1080/2573234X.2021.1978337
  BibTeX: Download

2021

• Stierle M., Weinzierl S., Harl M., Matzner M.:
  A technique for determining relevance scores of process activities using graph-based neural networks
  In: Decision Support Systems 144 (2021), Art.Nr.: 113511
  ISSN: 0167-9236
  DOI: 10.1016/j.dss.2021.113511
  URL: http://www.sciencedirect.com/science/article/pii/S016792362100021X
  BibTeX: Download

2020

• Brunk J., Stottmeister J., Weinzierl S., Matzner M., Becker J.:
  Exploring the effect of context information on deep learning business process predictions
  In: Journal of Decision Systems (2020), S. 1-16
  ISSN: 1246-0125
  DOI: 10.1080/12460125.2020.1790183
  URL: https://www.tandfonline.com/doi/abs/10.1080/12460125.2020.1790183
  BibTeX: Download
• Harl M., Weinzierl S., Stierle M., Matzner M.:
  Explainable predictive business process monitoring using gated graph neural networks
  In: Journal of Decision Systems (2020), S. 1-16
  ISSN: 1246-0125
  DOI: 10.1080/12460125.2020.1780780
  URL: https://www.tandfonline.com/doi/abs/10.1080/12460125.2020.1780780
  BibTeX: Download

2026

• Käppel M., Neuberger J., Möhrlein F., Weinzierl S., Matzner M., Jablonski S.:
  A Human-in-the-Loop Approach for Improving Fairness in Predictive Business Process Monitoring
  23rd International Conference on Business Process Management, BPM 2025 (Seville, 31. August 2025 - 5. September 2025)
  In: Arik Senderovich, Cristina Cabanillas, Irene Vanderfeesten, Hajo A. Reijers (Hrsg.): Lecture Notes in Computer Science 2026
  DOI: 10.1007/978-3-032-02867-9_21
  BibTeX: Download

2025

• Käppel M., Neuberger J., Weinzierl S., Möhrlein F., Matzner M., Jablonski S.:
  A Human-In-The-Loop Approach for Improving Fairness in Predictive Business Process Monitoring
  DOI: 10.1007/978-3-032-02867-9_21
  BibTeX: Download
• Möhrlein F., Käppel M., Neuberger J., Weinzierl S., Ackermann L., Matzner M., Jablonski S.:
  FairLoop: Software Support for Human-Centric Fairness in Predictive Business Process Monitoring
  BibTeX: Download
• Reinhard P., Ließmann A., Weinzierl S., Zilker S., Li MM., Matzner M., Leimeister JM.:
  Event Log Construction from Multimodel Data - A Reference Architecture for Exploiting Process Mining in IT Service Management
  European Conference on Information Systems (Amman, Jordan)
  In: Proceedings of the 33rd European Conference on Information Systems 2025
  DOI: https://open.fau.de/handle/openfau/36267
  URL: https://aisel.aisnet.org/ecis2025/bus_analytics/bus_analytics/5
  BibTeX: Download

2024

• Harl M., Zilker S., Weinzierl S.:
  Towards automated business process redesign in runtime using generative machine learning
  European Conference on Information Systems (Paphos, Cyprus)
  In: Proceedings of the 32nd European Conference on Information Systems 2024
  BibTeX: Download
• Ließmann A., Wang W., Weinzierl S., Zilker S., Matzner M.:
  Transfer Learning for Predictive Process Monitoring
  European Conference on Information Systems (Paphos, Cyprus)
  In: Proceedings of the 32nd European Conference on Information Systems 2024
  BibTeX: Download
• Ließmann A., Zilker S., Weinzierl S., Sukhareva M., Matzner M.:
  Predicting Customer Satisfaction in Service Processes Using Multilingual Large Language Models
  Hawaii International Conference on System Sciences (Waikiki, Honolulu, Hawaii)
  In: Proceedings of the 57th Hawaii International Conference on System Sciences 2024
  BibTeX: Download
• Weinzierl S., Zilker S., Brunk J., Revoredo K., Matzner M., Becker J.:
  Context-aware explanations of accurate predictions in service processes
  Hawaii International Conference on System Sciences (Waikiki, Honolulu, Hawaii)
  In: Proceedings of the 57th Hawaii International Conference on System Sciences 2024
  BibTeX: Download
• Weinzierl S., Zilker S., Zschech P., Kraus M., Leibelt T., Matzner M.:
  How risky is my AI system? A method for transparent classification of AI system descriptions by regulated AI risk categories
  International Conference on Information Systems (Bangkok, Thailand)
  In: Proceedings of the 45th International Conference on Information Systems 2024
  URL: https://open.fau.de/bitstreams/092b306d-86fb-420d-8ba1-57172d11611a/download
  BibTeX: Download

2023

• Arnold S., Yesilbas D., Weinzierl S.:
  Driving context into text-to-text privatization
  Annual Meeting of the Association for Computational Linguistics (Toronto)
  In: Association for Computational Linguistics (Hrsg.): Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing 2023
  DOI: 10.18653/v1/2023.trustnlp-1.2
  URL: https://aclanthology.org/2023.trustnlp-1.2
  BibTeX: Download
• Arnold S., Yesilbas D., Weinzierl S.:
  Guiding text-to-text privatization by syntax
  Annual Meeting of the Association for Computational Linguistics (Toronto)
  In: Association for Computational Linguistics (Hrsg.): Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing 2023
  DOI: 10.18653/v1/2023.trustnlp-1.14
  URL: https://aclanthology.org/2023.trustnlp-1.14/
  BibTeX: Download
• Drodt C., Weinzierl S., Matzner M., Delfmann P.:
  Predictive Recommining: Learning relations between event log characteristics and machine learning approaches for supporting predictive process monitoring
  International Conference on Advanced Information Systems Engineering (Zaragoza, 12. Juni 2023 - 16. Juni 2023)
  In: Proceedings of the 35th International Conference on Advanced Information Systems Engineering Forum 2023
  DOI: 10.1007/978-3-031-34674-3_9
  BibTeX: Download
• Zilker S., Weinzierl S., Zschech P., Kraus M., Matzner M.:
  Best of both worlds: Combining predictive power with interpretable and explainable results for patient pathway prediction
  European Conference on Information Systems (Kristiansand, 13. Juni 2023 - 16. Juni 2023)
  In: Proceedings of the 31st European Conference on Information Systems 2023
  DOI: 10.25593/open-fau-1123
  URL: https://open.fau.de/bitstreams/c8ea3d7e-7fb9-4932-9828-501af75d1f89/download
  BibTeX: Download

2022

• Cabrera Pérez L., Weinzierl S., Zilker S., Matzner M.:
  Text-aware predictive process monitoring with contextualized word embeddings
  International Conference on Business Process Management (Münster)
  In: Proceedings of the BPM 2022 International Workshops 2022
  DOI: 10.1007/978-3-031-25383-6_22
  BibTeX: Download
• Weinzierl S., Bartelheimer C., Zilker S., Beverungen D., Matzner M.:
  A method for predicting workarounds in business processes
  Pacific Asia Conference on Information Systems (Taipei-Sydney, 5. Juli 2022 - 9. Juli 2022)
  In: Proceedings of the 25th Pacific Asia Conference on Information Systems 2022
  BibTeX: Download
• Zschech P., Weinzierl S., Hambauer N., Zilker S., Kraus M.:
  GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints
  European Conference on Information Systems (Timisoara, 5. Juli 2022 - 9. Juli 2022)
  In: Proceedings of the 30th European Conference on Information Systems 2022
  BibTeX: Download

2021

• Drodt C., Weinzierl S., Matzner M., Delfmann P.:
  The recomminder: A decision support tool for predictive business process monitoring
  International Conference on Business Process Management (Rom)
  In: Proceedings of the BPM 2021 Demonstration & Resources Track, Best BPM Dissertation Award, and Doctoral Consortium 2021
  BibTeX: Download
• Stierle M., Brunk J., Weinzierl S., Zilker S., Matzner M., Becker J.:
  Bringing light into the darkness - A systematic literature review on explainable predictive business process monitoring techniques
  European Conference on Information Systems (Marrakesch)
  In: Proceedings of the 29th European Conference on Information Systems 2021
  BibTeX: Download
• Weinzierl S.:
  Exploring gated graph sequence neural networks for predicting next process activities
  International Conference on Business Process Management (Rom)
  In: Proceedings of the BPM 2021 International Workshops. 2021
  DOI: 10.1007/978-3-030-94343-1_3
  BibTeX: Download
• Weinzierl S., Dunzer S., Tenschert J., Zilker S., Matzner M.:
  Predictive business process deviation monitoring
  European Conference on Information Systems (Marrakesch)
  In: Proceedings of the 29th European Conference on Information Systems 2021
  BibTeX: Download

2020

• Marx E., Stierle M., Weinzierl S., Matzner M.:
  Closing the gap between smart manufacturing applications and data management
  International Conference on Wirtschaftsinformatik (WI) (Potsdam, 9. März 2020 - 11. März 2020)
  In: Proceedings of the 15th International Conference on Wirtschaftsinformatik (WI) 2020
  DOI: 10.30844/wi_2020_u1-marx
  URL: https://library.gito.de/2021/07/wi2020-community-tracks-9/
  BibTeX: Download
• Nguyen A., Chatterjee S., Weinzierl S., Schwinn L., Matzner M., Eskofier B.:
  Time matters: Time-aware LSTMs for predictive business process monitoring
  International Conference on Process Mining (Padua, 4. Oktober 2020 - 9. Oktober 2020)
  In: Proceedings of the ICPM 2020 International Workshops 2020
  DOI: 10.1007/978-3-030-72693-5_9
  BibTeX: Download
• Weinzierl S., Dunzer S., Zilker S., Matzner M.:
  Prescriptive business process monitoring for recommending next best actions
  International Conference on Business Process Management (Sevilla, 13. September 2020 - 18. September 2020)
  In: Proceedings of the 18th International Conference on Business Process Management Forum 2020
  DOI: 10.1007/978-3-030-58638-6_12
  URL: https://link.springer.com/content/pdf/10.1007/978-3-030-58638-6_12.pdf
  BibTeX: Download
• Weinzierl S., Stierle M., Zilker S., Matzner M.:
  A next click recommender system for web-based service analytics with context-aware LSTMs
  Hawaii International Conference on System Sciences (Grand Wailea, Maui, Hawaii, 7. Januar 2020 - 10. Januar 2020)
  In: Proceedings of the 53rd Hawaii International Conference on System Sciences 2020
  DOI: 10.24251/HICSS.2020.190
  URL: http://hdl.handle.net/10125/63929
  BibTeX: Download
• Weinzierl S., Wolf V., Pauli T., Beverungen D., Matzner M.:
  Detecting workarounds in business processes — A deep learning method for analyzing event logs
  European Conference on Information Systems (Marrakesch, 15. Juni 2020 - 17. Juni 2020)
  In: Proceedings of the 28th European Conference on Information Systems 2020
  URL: https://www.researchgate.net/publication/341180737_DETECTING_WORKAROUNDS_IN_BUSINESS_PROCESSES_-_A_DEEP_LEARNING_METHOD_FOR_ANALYZING_EVENT_LOGS
  BibTeX: Download
• Weinzierl S., Zilker S., Brunk J., Revoredo K., Matzner M., Becker J.:
  XNAP: Making LSTM-based next activity predictions explainable by using LRP
  International Conference on Business Process Management (Sevilla, 13. September 2020 - 18. September 2020)
  In: Proceedings of the BPM 2020 International Workshops. 2020
  DOI: 10.1007/978-3-030-66498-5_10
  BibTeX: Download
• Weinzierl S., Zilker S., Stierle M., Park G., Matzner M.:
  From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events
  Internationale Tagung Wirtschaftsinformatik (Potsdam, 8. März 2020 - 11. März 2020)
  In: Proceedings of the 15th International Conference on Wirtschaftsinformatik 2020
  DOI: 10.30844/wi_2020_c12-weinzierl
  URL: https://library.gito.de/open-access-pdf/C12_Prescriptive_process_monitoring_-_a_technique_for_determining_next_best_actions_resub.pdf
  BibTeX: Download

2019

• Weinzierl S., Revoredo K., Matzner M.:
  Predictive business process monitoring with context information from documents
  European Conference on Information Systems (Stockholm, 8. Juni 2019 - 14. Juni 2019)
  In: Proceedings of the 27th European Conference on Information Systems 2019
  URL: https://www.researchgate.net/publication/333245929_PREDICTIVE_BUSINESS_PROCESS_MONITORING_WITH_CONTEXT_INFORMATION_FROM_DOCUMENTS
  BibTeX: Download

2024

• Ackermann L., Käppel M., Marcus L., Moder L., Dunzer S., Hornsteiner M., Ließmann A., Zisgen Y., Empl P., Herm LV., Neis N., Neuberger J., Schaschek M., Weinzierl S., Wörderhoff N., Jablonski S., Koschmider A., Kratsch W., Matzner M., Rinderle-Ma S., Röglinger M., Schönig S., Winkelmann A.:
  Recent Advances in Data-Driven Business Process Management
  (2024)
  Open Access: https://arxiv.org/abs/2406.01786
  URL: https://arxiv.org/abs/2406.01786
  BibTeX: Download
  (online publication)