Sandra Zilker

38 papers C 3Journal 12Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Challenging the Performance-Interpretability Trade-Off: An Evaluation of Interpretable Machine Learning Models.
Bus. Inf. Syst. Eng.
Sven Kruschel, Nico Hambauer, Sven Weinzierl, Sandra Zilker, Mathias Kraus, Patrick Zschech
2025 J jnl
A technology-specific process mining maturity grid for manufacturing and logistics.
Int. J. Prod. Res.
Sebastian Dunzer, Sandra Zilker, Sven Weinzierl, Willi Tang, Felix Dieckmann, Simon Stenglein, Johannes Rist, Martin Matzner
2025 — conf
Event Log Construction from Multimodal Data - a Reference Architecture for Exploiting Process Mining in IT Service Management.
ECIS
Philipp Reinhard, Annina Liessmann, Sven Weinzierl, Sandra Zilker, Mahei Manhai Li, Martin Matzner, Jan Marco Leimeister
2025 J jnl
From Source to Target: Leveraging Transfer Learning for Predictive Process Monitoring in Organizations.
CoRR
Sven Weinzierl, Sandra Zilker, Annina Liessmann, Martin Käppel, Weixin Wang, Martin Matzner
2025 — conf
How to Design an Engaging Online Crowdsourcing Contest in Organizations? Lessons from a German Sportswear Company.
PACIS
Willi Tang, Sandra Zilker, Mohammed Al Ghadban, Benedikt Morschheuser, Martin Matzner
2025 J jnl
The Effects of Information and Incentive Interventions on the Adoption of Algorithms in Human Resources: An Experimental Study.
ACM SIGMIS Database
Jessica Ochmann, Sandra Zilker, Leonard Michels, Verena Tiefenbeck, Martin Matzner, Sven Laumer
2025 C conf
What Constitutes Digital Employee Experience? A Conceptualization.
ICIS
Willi Tang, Leonie Rebecca Freise, Viktoria Horn, Mahei Manhai Li, Sandra Zilker, Claude Draude, Martin Matzner
2024 J jnl
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis.
CoRR
Sandra Zilker, Sven Weinzierl, Mathias Kraus, Patrick Zschech, Martin Matzner
2024 J jnl
Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models.
CoRR
Sven Kruschel, Nico Hambauer, Sven Weinzierl, Sandra Zilker, Mathias Kraus, Patrick Zschech
2024 — conf
Context-aware Explanations of Accurate Predictions in Service Processes.
HICSS
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker
2024 C conf
How Risky is my AI System? A Method for Transparent Classification of AI System Descriptions by Regulated AI Risk Categories.
ICIS
Sven Weinzierl, Sandra Zilker, Patrick Zschech, Mathias Kraus, Tobias Leibelt, Martin Matzner
2024 J jnl
Machine learning in business process management: A systematic literature review.
CoRR
Sven Weinzierl, Sandra Zilker, Sebastian Dunzer, Martin Matzner
2024 J jnl
Machine learning in business process management: A systematic literature review.
Expert Syst. Appl.
Sven Weinzierl, Sandra Zilker, Sebastian Dunzer, Martin Matzner
2024 — conf
Predicting Customer Satisfaction in Service Processes Using Multilingual Large Language Models.
HICSS
Annina Liessmann, Sandra Zilker, Sven Weinzierl, Maria Sukhareva, Martin Matzner
2024 — conf
Towards Automated Business Process Redesign in Runtime Using Generative Machine Learning.
ECIS
Maximilian Victor Harl, Sandra Zilker, Sven Weinzierl
2024 — conf
Transfer Learning for Predictive Process Monitoring.
ECIS
Annina Liessmann, Weixin Wang, Sven Weinzierl, Sandra Zilker, Martin Matzner
2023 — conf
Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction.
ECIS
Sandra Zilker, Sven Weinzierl, Patrick Zschech, Mathias Kraus, Martin Matzner
2023 — conf
Design Principles for Using Business Process Management Systems.
Business Process Management Workshops
Sebastian Dunzer, Willi Tang, Nico Höchstädter, Sandra Zilker, Martin Matzner
2022 — conf
A Method for Predicting Workarounds in Business Processes.
PACIS
Sven Weinzierl, Christian Bartelheimer, Sandra Zilker, Daniel Beverungen, Martin Matzner
2022 — conf
Designing a Method for Resource-specific Next Activity Prediction.
PACIS
Sandra Zilker
2022 — conf
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints.
ECIS
Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, Mathias Kraus
2022 J jnl
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints.
CoRR
Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, Mathias Kraus
2022 — conf
Process Mining for Advanced Service Analytics - From Process Efficiency to Customer Encounter and Experience.
HICSS
Sandra Zilker, Emanuel Marx, Matthias Stierle, Martin Matzner
2022 — conf
Text-Aware Predictive Process Monitoring with Contextualized Word Embeddings.
Business Process Management Workshops
Lena M. Cabrera, Sven Weinzierl, Sandra Zilker, Martin Matzner
2021 — conf
Bringing Light Into the Darkness - A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques.
ECIS
Matthias Stierle, Jens Brunk, Sven Weinzierl, Sandra Zilker, Martin Matzner, Jörg Becker
2021 — conf
Predictive Business Process Deviation Monitoring.
ECIS
Sven Weinzierl, Sebastian Dunzer, Johannes Christian Tenschert, Sandra Zilker, Martin Matzner
2021 — conf
The Status Quo of Process Mining in the Industrial Sector.
Wirtschaftsinformatik
Sebastian Dunzer, Sandra Zilker, Emanuel Marx, Valentin Grundler, Martin Matzner
2021 — conf
The evaluation of the black box problem for AI-based recommendations: An interview-based study.
Wirtschaftsinformatik
Jessica Ochmann, Sandra Zilker, Sven Laumer
2020 — conf
A Next Click Recommender System for Web-based Service Analytics with Context-aware LSTMs.
HICSS
Sven Weinzierl, Matthias Stierle, Sandra Zilker, Martin Matzner
2020 J jnl
An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs.
CoRR
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, An Nguyen, Martin Matzner, Jörg Becker, Björn M. Eskofier
2020 — conf
Design Principles for Comprehensible Process Discovery in Process Mining.
ECIS
Matthias Stierle, Sandra Zilker, Sebastian Dunzer, Johannes Christian Tenschert, Gergana Karagegova
2020 — conf
From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events.
Wirtschaftsinformatik (Zentrale Tracks)
Sven Weinzierl, Sandra Zilker, Matthias Stierle, Martin Matzner, Gyunam Park
2020 — conf
Job Seekers' Artificial Intelligence-related Black Box Concerns.
SIGMIS-CPR
Jessica Ochmann, Sandra Zilker, Sven Laumer
2020 — conf
Prescriptive Business Process Monitoring for Recommending Next Best Actions.
BPM (Forum)
Sven Weinzierl, Sebastian Dunzer, Sandra Zilker, Martin Matzner
2020 J jnl
Prescriptive Business Process Monitoring for Recommending Next Best Actions.
CoRR
Sven Weinzierl, Sebastian Dunzer, Sandra Zilker, Martin Matzner
2020 C conf
The influence of algorithm aversion and anthropomorphic agent design on the acceptance of AI-based job recommendations.
ICIS
Jessica Ochmann, Leonard Michels, Sandra Zilker, Verena Tiefenbeck, Sven Laumer
2020 — conf
XNAP: Making LSTM-Based Next Activity Predictions Explainable by Using LRP.
Business Process Management Workshops
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker
2020 J jnl
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP.
CoRR
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker