Sandra Zilker

According to our database, Sandra Zilker authored at least 24 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Machine learning in business process management: A systematic literature review.

Sven Weinzierl, Sandra Zilker, Sebastian Dunzer, Martin Matzner

Expert Syst. Appl., 2024

Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models.

Sven Kruschel, Nico Hambauer, Sven Weinzierl, Sandra Zilker, Mathias Kraus, Patrick Zschech

CoRR, 2024

A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis.

Sandra Zilker, Sven Weinzierl, Mathias Kraus, Patrick Zschech, Martin Matzner

CoRR, 2024

Context-aware Explanations of Accurate Predictions in Service Processes.

Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Predicting Customer Satisfaction in Service Processes Using Multilingual Large Language Models.

Annina Liessmann, Sandra Zilker, Sven Weinzierl, Maria Sukhareva, Martin Matzner

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction.

Sandra Zilker, Sven Weinzierl, Patrick Zschech, Mathias Kraus, Martin Matzner

Proceedings of the 31st European Conference on Information Systems, 2023

Design Principles for Using Business Process Management Systems.

Sebastian Dunzer, Willi Tang, Nico Höchstädter, Sandra Zilker, Martin Matzner

Proceedings of the Business Process Management Workshops, 2023

2022

Designing a Method for Resource-specific Next Activity Prediction.

Sandra Zilker

Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022

A Method for Predicting Workarounds in Business Processes.

Sven Weinzierl, Christian Bartelheimer, Sandra Zilker, Daniel Beverungen, Martin Matzner

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.

Sandra Zilker, Emanuel Marx, Matthias Stierle, Martin Matzner

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.

Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, Mathias Kraus

Proceedings of the 30th European Conference on Information Systems, 2022

Text-Aware Predictive Process Monitoring with Contextualized Word Embeddings.

Lena M. Cabrera, Sven Weinzierl, Sandra Zilker, Martin Matzner

Proceedings of the Business Process Management Workshops, 2022

2021

The evaluation of the black box problem for AI-based recommendations: An interview-based study.

Jessica Ochmann, Sandra Zilker, Sven Laumer

Proceedings of the Innovation durch Informationssysteme, 2021

The Status Quo of Process Mining in the Industrial Sector.

Sebastian Dunzer, Sandra Zilker, Emanuel Marx, Valentin Grundler, Martin Matzner

Proceedings of the Innovation durch Informationssysteme, 2021

Predictive Business Process Deviation Monitoring.

Sven Weinzierl, Sebastian Dunzer, Johannes Christian Tenschert, Sandra Zilker, Martin Matzner

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.

Matthias Stierle, Jens Brunk, Sven Weinzierl, Sandra Zilker, Martin Matzner, Jörg Becker

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.

Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, An Nguyen, Martin Matzner, Jörg Becker, Björn M. Eskofier

CoRR, 2020

From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events.

Sven Weinzierl, Sandra Zilker, Matthias Stierle, Martin Matzner, Gyunam Park

Proceedings of the Entwicklungen, 2020

Job Seekers' Artificial Intelligence-related Black Box Concerns.

Jessica Ochmann, Sandra Zilker, Sven Laumer

Proceedings of the SIGMIS-CPR 2020, 2020

The influence of algorithm aversion and anthropomorphic agent design on the acceptance of AI-based job recommendations.

Jessica Ochmann, Leonard Michels, Sandra Zilker, Verena Tiefenbeck, Sven Laumer

Proceedings of the 41st International Conference on Information Systems, 2020

A Next Click Recommender System for Web-based Service Analytics with Context-aware LSTMs.

Sven Weinzierl, Matthias Stierle, Sandra Zilker, Martin Matzner

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Design Principles for Comprehensible Process Discovery in Process Mining.

Matthias Stierle, Sandra Zilker, Sebastian Dunzer, Johannes Christian Tenschert, Gergana Karagegova

Proceedings of the 28th European Conference on Information Systems, 2020

XNAP: Making LSTM-Based Next Activity Predictions Explainable by Using LRP.

Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker

Proceedings of the Business Process Management Workshops, 2020

Prescriptive Business Process Monitoring for Recommending Next Best Actions.

Sven Weinzierl, Sebastian Dunzer, Sandra Zilker, Martin Matzner

Proceedings of the Business Process Management Forum, 2020