Sandra Zilker

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
• 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
  URL: https://aisel.aisnet.org/wi2021/EManagementofdigitalprocesses20/Track20/2/
• Ochmann J., Zilker S., Laumer S.:
  The evaluation of the black box problem for AI-based recommendations: An interview-based study
  Proceedings of the 16. Internationale Tagung Wirtschaftsinformatik
• 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