Sandra Zilker
Friedrich-Alexander-Universität Erlangen-Nürnberg
H-index: 8
Europe-Germany
Top articles of Sandra Zilker
Predicting Customer Satisfaction in Service Processes Using Multilingual Large Language Models
2024/1/3
Context-aware Explanations of Accurate Predictions in Service Processes
2024/1/3
TOWARDS AUTOMATED BUSINESS PROCESS REDESIGN IN RUNTIME USING GENERATIVE MACHINE LEARNING
2024
Transfer Learning for Predictive Process Monitoring
2024
Design Principles for Using Business Process Management Systems
2023/9/11
Best of both worlds: combining predictive power with interpretable and explainable results for patient pathway prediction
2023
Text-aware predictive process monitoring with contextualized word embeddings
2022/9/11
GAM (e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints
2022/4/19
Designing a Method for Resource-specific Next Activity Prediction
2022
Sandra Zilker
H-Index: 4
A Method for Predicting Workarounds in Business Processes
Pacific Asia Conference on Information Systems (PACIS)
2022
Process Mining for Advanced Service Analytics–From Process Efficiency to Customer Encounter and Experience
2022
XNAP: Making LSTM-Based Next Activity Predictions Explainable by Using LRP
Business Process Management Workshops: BPM 2020 International Workshops, Seville, Spain, September 13–18, 2020, Revised Selected Papers
2021/1/18
Bringing light into the darkness-A systematic literature review on explainable predictive business process monitoring techniques
2021
Predictive business process deviation monitoring
2021
Sven Weinzierl
H-Index: 5
Johannes Tenschert
H-Index: 4
Sandra Zilker
H-Index: 4
Martin Matzner
H-Index: 16
The evaluation of the black box problem for AI-based recommendations: An interview-based study
2021
The status quo of process mining in the industrial sector
2021
The influence of algorithm aversion and anthropomorphic agent design on the acceptance of AI-based job recommendations.
2020
Prescriptive business process monitoring for recommending next best actions
2020
Job seekers' artificial intelligence-related black box concerns
2020/6/19
An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs
arXiv preprint arXiv:2005.01194
2020/5/3
Co-Authors
