Sandra Zilker
Orcid: 0000-0001-5414-1528
According to our database1,
Sandra Zilker
authored at least 27 papers
between 2020 and 2024.
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Bibliography
2024
Expert Syst. Appl., 2024
Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models.
CoRR, 2024
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis.
CoRR, 2024
How Risky is my AI System? A Method for Transparent Classification of AI System Descriptions by Regulated AI Risk Categories.
Proceedings of the 45th International Conference on Information Systems, 2024
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Predicting Customer Satisfaction in Service Processes Using Multilingual Large Language Models.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Proceedings of the 32nd European Conference on Information Systems, 2024
Towards Automated Business Process Redesign in Runtime Using Generative Machine Learning.
Proceedings of the 32nd European Conference on Information Systems, 2024
2023
Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction.
Proceedings of the 31st European Conference on Information Systems, 2023
Proceedings of the Business Process Management Workshops, 2023
2022
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022
Process Mining for Advanced Service Analytics - From Process Efficiency to Customer Encounter and Experience.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints.
Proceedings of the 30th European Conference on Information Systems, 2022
Proceedings of the Business Process Management Workshops, 2022
2021
The evaluation of the black box problem for AI-based recommendations: An interview-based study.
Proceedings of the Innovation durch Informationssysteme, 2021
Proceedings of the Innovation durch Informationssysteme, 2021
Proceedings of the 29th European Conference on Information Systems, 2021
Bringing Light Into the Darkness - A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques.
Proceedings of the 29th European Conference on Information Systems, 2021
2020
An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs.
CoRR, 2020
From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events.
Proceedings of the Entwicklungen, 2020
Proceedings of the SIGMIS-CPR 2020, 2020
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, 2020
A Next Click Recommender System for Web-based Service Analytics with Context-aware LSTMs.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
Proceedings of the 28th European Conference on Information Systems, 2020
Proceedings of the Business Process Management Workshops, 2020
Proceedings of the Business Process Management Forum, 2020