Prof. Dr. Sandra Zilker

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
• 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
• 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

2024

• 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), Article No.: 124181
  ISSN: 0957-4174
  DOI: 10.1016/j.eswa.2024.124181
  URL: https://www.sciencedirect.com/science/article/pii/S0957417424010479
• 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), p. 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

2025

• Tang W., Zilker S., Al Ghadban M., Morschheuser B., Matzner M.:
  How to Design an Engaging Online Crowdsourcing Contest in Organizations? Lessons from a German Sportswear Company
  Pacific Asia Conference on Information Systems (PACIS) (Kuala Lumpur, 5. July 2025 - 9. June 2025)
  In: PACIS 2025 Proceedings 2025
  Open Access: https://open.fau.de/bitstreams/d85eb3ca-21aa-4de8-b765-94a7ecc44a1f/download
  URL: https://aisel.aisnet.org/pacis2025/transform/transform/5/

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
• 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
• 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
• 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
• 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

2023

• Dunzer S., Tang W., Höchstädter N., Zilker S., Matzner M.:
  Design Principles for Using Business Process Management Systems
  Business Process Management 2023 Workshops (Utrecht, The Netherlands, 11. September 2023 - 15. September 2023)
  In: Jochen De Weerdt and Luise Pufahl (ed.): Business Process Management Workshops, Cham, Switzerland: 2023
• 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. June 2023 - 16. June 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

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
• 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. July 2022 - 9. July 2022)
  In: Proceedings of the 25th Pacific Asia Conference on Information Systems 2022
• Zilker S.:
  Designing a Method for Resource-specific Next Activity Prediction
  Pacific Asia Conference on Information Systems (PACIS) (Taipei - Sydney // Virtual, 5. July 2022 - 9. July 2022)
  In: Proceedings of the 25th Pacific Asia Conference on Information Systems 2022
• Zilker S., Marx E., Stierle M., Matzner M.:
  Process Mining for Advanced Service Analytics – From Process Efficiency to Customer Encounter and Experience
  Hawaii International Conference on System Sciences (Maui, Hawaii, 4. January 2022 - 7. January 2022)
  In: Proceedings of the 55th Hawaii International Conference on System Sciences 2022
  DOI: 10.24251/HICSS.2022.239
  URL: http://hdl.handle.net/10125/79571
• 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. July 2022 - 9. July 2022)
  In: Proceedings of the 30th European Conference on Information Systems 2022

2021

• Dunzer S., Zilker S., Marx E., Grundler V., Matzner M.:
  The Status Quo of Process Mining in the Industrial Sector
  International Conference on Wirtschaftsinformatik (WI) (Duisburg-Essen // Virtual, 9. March 2021 - 11. March 2021)
  In: Proceedings of the 16th International Conference on Wirtschaftsinformatik (WI) 2021
  DOI: 10.1007/978-3-030-86800-0_43
  URL: https://aisel.aisnet.org/wi2021/EManagementofdigitalprocesses20/Track20/2/
• 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
• 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

2020

• Ochmann J., Michels L., Zilker S., Tiefenbeck V., Laumer S.:
  The influence of algorithm aversion and anthropomorphic agent design on the acceptance of AI-based job recommendations
  Proceedings of the 41st International Conference on Information Systems (ICIS) (Hyderabad, Indien)
  In: International Conference on Information Systems (ICIS) (ed.): Proceedings of the 41st International Conference on Information Systems (ICIS) 2020
• Ochmann J., Zilker S., Laumer S.:
  Job Seekers' Artificial Intelligence-related Black Box Concerns
  Proceedings of the 2020 on Computers and People Research Conference (SIGMIS-CPR'20). (New York, NY, USA,)
  In: Association for Computing Machinery (ed.): Proceedings of the 2020 on Computers and People Research Conference 2020
  DOI: 10.1145/3378539.3393841
• Stierle M., Zilker S., Dunzer S., Tenschert J., Karagegova G.:
  Design Principles for Comprehensible Process Discovery in Process Mining
  In: Rowe F, Amrani RE, Limayem M, Newell S, Pouloudi N, Heck E, Quammah AE (ed.): 28th European Conference on Information Systems - Liberty, Equality, and Fraternity in a Digitizing World, ECIS 2020, Marrakech, Morocco, June 15-17, 2020 2020
  URL: https://aisel.aisnet.org/ecis2020_rp/42/
• 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
• 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. January 2020 - 10. January 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
• 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
• 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. March 2020 - 11. March 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