Sandra Zilker

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 27

Top Topics

Business Process

Punctuation Marks

Top Venues

Business Process Management Workshops

Publications

Sandra Zilker, Sven Weinzierl, Mathias Kraus, Patrick Zschech, Martin Matzner
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis. CoRR (2024)
Annina Liessmann, Sandra Zilker, Sven Weinzierl, Maria Sukhareva, Martin Matzner
Predicting Customer Satisfaction in Service Processes Using Multilingual Large Language Models. HICSS (2024)
Sven Weinzierl, Sandra Zilker, Sebastian Dunzer, Martin Matzner
Machine learning in business process management: A systematic literature review. Expert Syst. Appl. 253 (2024)
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker
Context-aware Explanations of Accurate Predictions in Service Processes. HICSS (2024)
Sven Weinzierl, Sandra Zilker, Sebastian Dunzer, Martin Matzner
Machine learning in business process management: A systematic literature review. CoRR (2024)
Sebastian Dunzer, Willi Tang, Nico Höchstädter, Sandra Zilker, Martin Matzner
Design Principles for Using Business Process Management Systems. Business Process Management Workshops (2023)
Sandra Zilker, Sven Weinzierl, Patrick Zschech, Mathias Kraus, Martin Matzner
Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction. ECIS (2023)
Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, Mathias Kraus
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints. ECIS (2022)
Sven Weinzierl, Christian Bartelheimer, Sandra Zilker, Daniel Beverungen, Martin Matzner
A Method for Predicting Workarounds in Business Processes. PACIS (2022)
Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, Mathias Kraus
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints. CoRR (2022)
Sandra Zilker
Designing a Method for Resource-specific Next Activity Prediction. PACIS (2022)
Sandra Zilker, Emanuel Marx, Matthias Stierle, Martin Matzner
Process Mining for Advanced Service Analytics - From Process Efficiency to Customer Encounter and Experience. HICSS (2022)
Lena M. Cabrera, Sven Weinzierl, Sandra Zilker, Martin Matzner
Text-Aware Predictive Process Monitoring with Contextualized Word Embeddings. Business Process Management Workshops (2022)
Jessica Ochmann, Sandra Zilker, Sven Laumer
The evaluation of the black box problem for AI-based recommendations: An interview-based study. Wirtschaftsinformatik (2021)
Matthias Stierle, Jens Brunk, Sven Weinzierl, Sandra Zilker, Martin Matzner, Jörg Becker
Bringing Light Into the Darkness - A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques. ECIS (2021)
Sebastian Dunzer, Sandra Zilker, Emanuel Marx, Valentin Grundler, Martin Matzner
The Status Quo of Process Mining in the Industrial Sector. Wirtschaftsinformatik (2021)
Sven Weinzierl, Sebastian Dunzer, Johannes Christian Tenschert, Sandra Zilker, Martin Matzner
Predictive Business Process Deviation Monitoring. ECIS (2021)
Sven Weinzierl, Sebastian Dunzer, Sandra Zilker, Martin Matzner
Prescriptive Business Process Monitoring for Recommending Next Best Actions. BPM (Forum) (2020)
Sven Weinzierl, Sandra Zilker, Matthias Stierle, Martin Matzner, Gyunam Park
From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Jessica Ochmann, Leonard Michels, Sandra Zilker, Verena Tiefenbeck, Sven Laumer
The influence of algorithm aversion and anthropomorphic agent design on the acceptance of AI-based job recommendations. ICIS (2020)
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker
XNAP: Making LSTM-Based Next Activity Predictions Explainable by Using LRP. Business Process Management Workshops (2020)
Sven Weinzierl, Matthias Stierle, Sandra Zilker, Martin Matzner
A Next Click Recommender System for Web-based Service Analytics with Context-aware LSTMs. HICSS (2020)
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, An Nguyen, Martin Matzner, Jörg Becker, Björn M. Eskofier
An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs. CoRR (2020)
Sven Weinzierl, Sebastian Dunzer, Sandra Zilker, Martin Matzner
Prescriptive Business Process Monitoring for Recommending Next Best Actions. CoRR (2020)
Matthias Stierle, Sandra Zilker, Sebastian Dunzer, Johannes Christian Tenschert, Gergana Karagegova
Design Principles for Comprehensible Process Discovery in Process Mining. ECIS (2020)
Jessica Ochmann, Sandra Zilker, Sven Laumer
Job Seekers' Artificial Intelligence-related Black Box Concerns. SIGMIS-CPR (2020)
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP. CoRR (2020)