Prescriptive Business Process Monitoring for Recommending Next Best Actions. - Sven Weinzierl; Sebastian Dunzer; Sandra Zilker; Martin Matzner (BPM (Forum), 2020)

XNAP: Making LSTM-Based Next Activity Predictions Explainable by Using LRP. - Sven Weinzierl; Sandra Zilker; Jens Brunk; Kate Revoredo; Martin Matzner; Jörg Becker 001 (Business Process Management Workshops, 2020)

Design Principles for Comprehensible Process Discovery in Process Mining. - Matthias Stierle; Sandra Zilker; Sebastian Dunzer; Johannes Christian Tenschert; Gergana Karagegova (ECIS, 2020)

A Next Click Recommender System for Web-based Service Analytics with Context-aware LSTMs. - Sven Weinzierl; Matthias Stierle; Sandra Zilker; Martin Matzner (HICSS, 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 (ICIS, 2020)

Job Seekers' Artificial Intelligence-related Black Box Concerns. - Jessica Ochmann; Sandra Zilker; Sven Laumer (SIGMIS-CPR, 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 (Wirtschaftsinformatik (Zentrale Tracks), 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 001; Björn M. Eskofier (CoRR, 2020)

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 001 (ECIS, 2021)

Predictive Business Process Deviation Monitoring. - Sven Weinzierl; Sebastian Dunzer; Johannes Christian Tenschert; Sandra Zilker; Martin Matzner (ECIS, 2021)

The Status Quo of Process Mining in the Industrial Sector. - Sebastian Dunzer; Sandra Zilker; Emanuel Marx; Valentin Grundler; Martin Matzner (Wirtschaftsinformatik, 2021)

The evaluation of the black box problem for AI-based recommendations: An interview-based study. - Jessica Ochmann; Sandra Zilker; Sven Laumer (Wirtschaftsinformatik, 2021)

Text-Aware Predictive Process Monitoring with Contextualized Word Embeddings. - Lena M. Cabrera; Sven Weinzierl; Sandra Zilker; Martin Matzner (Business Process Management Workshops, 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 (ECIS, 2022)

Process Mining for Advanced Service Analytics - From Process Efficiency to Customer Encounter and Experience. - Sandra Zilker; Emanuel Marx; Matthias Stierle; Martin Matzner (HICSS, 2022)

A Method for Predicting Workarounds in Business Processes. - Sven Weinzierl; Christian Bartelheimer; Sandra Zilker; Daniel Beverungen; Martin Matzner (PACIS, 2022)

Designing a Method for Resource-specific Next Activity Prediction. - Sandra Zilker (PACIS, 2022)

Design Principles for Using Business Process Management Systems. - Sebastian Dunzer; Willi Tang; Nico Höchstädter; Sandra Zilker; Martin Matzner (Business Process Management Workshops, 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 (ECIS, 2023)

Towards Automated Business Process Redesign in Runtime Using Generative Machine Learning. - Maximilian Victor Harl; Sandra Zilker; Sven Weinzierl (ECIS, 2024)

Transfer Learning for Predictive Process Monitoring. - Annina Liessmann; Weixin Wang; Sven Weinzierl; Sandra Zilker; Martin Matzner (ECIS, 2024)

Predicting Customer Satisfaction in Service Processes Using Multilingual Large Language Models. - Annina Liessmann; Sandra Zilker; Sven Weinzierl; Maria Sukhareva; Martin Matzner (HICSS, 2024)

Context-aware Explanations of Accurate Predictions in Service Processes. - Sven Weinzierl; Sandra Zilker; Jens Brunk; Kate Revoredo; Martin Matzner; Jörg Becker 001 (HICSS, 2024)

How Risky is my AI System? A Method for Transparent Classification of AI System Descriptions by Regulated AI Risk Categories. - Sven Weinzierl; Sandra Zilker; Patrick Zschech; Mathias Kraus; Tobias Leibelt; Martin Matzner (ICIS, 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)

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)

Machine learning in business process management: A systematic literature review. - Sven Weinzierl; Sandra Zilker; Sebastian Dunzer; Martin Matzner (Expert Syst. Appl., 2024)

How to Design an Engaging Online Crowdsourcing Contest in Organizations? Lessons from a German Sportswear Company. - Willi Tang; Sandra Zilker; Mohammed Al Ghadban; Benedikt Morschheuser; Martin Matzner (PACIS, 2025)

A technology-specific process mining maturity grid for manufacturing and logistics. - Sebastian Dunzer; Sandra Zilker; Sven Weinzierl; Willi Tang; Felix Dieckmann; Simon Stenglein; Johannes Rist; Martin Matzner (Int. J. Prod. Res., 2025)

From Source to Target: Leveraging Transfer Learning for Predictive Process Monitoring in Organizations. - Sven Weinzierl; Sandra Zilker; Annina Liessmann; Martin Käppel; Weixin Wang; Martin Matzner (CoRR, 2025)