Sven Weinzierl

54 papers A 1C 1Journal 29Unranked 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
2026 J jnl
Improving next process activity prediction with scarce event log data using data augmentation with large language models.
Inf. Syst.
Martin Käppel, Sven Weinzierl, Lars Ackermann, Martin Matzner, Stefan Jablonski
2026 J jnl
Inherently Interpretable Machine Learning: A Contrasting Paradigm to Post-hoc Explainable AI.
Bus. Inf. Syst. Eng.
Patrick Zschech, Sven Weinzierl, Mathias Kraus
2025 J jnl
(Neural-Symbolic) Machine Learning for Inconsistency Measurement.
CoRR
Sven Weinzierl, Carl Cora
2025 J jnl
A Human-In-The-Loop Approach for Improving Fairness in Predictive Business Process Monitoring.
CoRR
Martin Käppel, Julian Neuberger, Felix Möhrlein, Sven Weinzierl, Martin Matzner, Stefan Jablonski
2025 A conf
A Human-in-the-Loop Approach for Improving Fairness in Predictive Business Process Monitoring.
BPM
Martin Käppel, Julian Neuberger, Felix Möhrlein, Sven Weinzierl, Martin Matzner, Stefan Jablonski
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 J jnl
CareerBERT: Matching Resumes to ESCO Jobs in a Shared Embedding Space for Generic Job Recommendations.
CoRR
Julian Rosenberger, Lukas Wolfrum, Sven Weinzierl, Mathias Kraus, Patrick Zschech
2025 J jnl
CareerBERT: Matching resumes to ESCO jobs in a shared embedding space for generic job recommendations.
Expert Syst. Appl.
Julian Rosenberger, Lukas Wolfrum, Sven Weinzierl, Mathias Kraus, Patrick Zschech
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
FairLoop: Software Support for Human-Centric Fairness in Predictive Business Process Monitoring.
CoRR
Felix Möhrlein, Martin Käppel, Julian Neuberger, Sven Weinzierl, Lars Ackermann, Martin Matzner, Stefan Jablonski
2025 — conf
FairLoop: Software Support for Human‑Centric Fairness in Predictive Business Process Monitoring.
BPM (Demos / Resources Forum)
Felix Möhrlein, Martin Käppel, Julian Neuberger, Sven Weinzierl, Lars Ackermann, Martin Matzner, Stefan Jablonski
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
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 J jnl
Documentation Practices of Artificial Intelligence.
CoRR
Stefan Arnold, Dilara Yesilbas, Rene Gröbner, Dominik Riedelbauch, Maik Horn, Sven Weinzierl
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
Interpretable generalized additive neural networks.
Eur. J. Oper. Res.
Mathias Kraus, Daniel Tschernutter, Sven Weinzierl, Patrick Zschech
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 J jnl
Recent Advances in Data-Driven Business Process Management.
CoRR
Lars Ackermann, Martin Käppel, Laura Marcus, Linda Moder, Sebastian Dunzer, Markus Hornsteiner, Annina Liessmann, Yorck Zisgen, Philip Empl, Lukas-Valentin Herm, Nicolas Neis, Julian Neuberger, Leo Poss, Myriam Schaschek, Sven Weinzierl, Niklas Wördehoff, Stefan Jablonski, Agnes Koschmider, Wolfgang Kratsch, Martin Matzner, Stefanie Rinderle-Ma, Maximilian Röglinger, Stefan Schönig, Axel Winkelmann
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 J jnl
Driving Context into Text-to-Text Privatization.
CoRR
Stefan Arnold, Dilara Yesilbas, Sven Weinzierl
2023 J jnl
Guiding Text-to-Text Privatization by Syntax.
CoRR
Stefan Arnold, Dilara Yesilbas, Sven Weinzierl
2023 J jnl
Predictive End-to-End Enterprise Process Network Monitoring.
Bus. Inf. Syst. Eng.
Felix Oberdorf, Myriam Schaschek, Sven Weinzierl, Nikolai Stein, Martin Matzner, Christoph M. Flath
2023 — conf
Predictive Recommining: Learning Relations Between Event Log Characteristics and Machine Learning Approaches for Supporting Predictive Process Monitoring.
CAiSE Forum
Christoph Drodt, Sven Weinzierl, Martin Matzner, Patrick Delfmann
2022 — conf
A Method for Predicting Workarounds in Business Processes.
PACIS
Sven Weinzierl, Christian Bartelheimer, Sandra Zilker, Daniel Beverungen, Martin Matzner
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
Text-Aware Predictive Process Monitoring with Contextualized Word Embeddings.
Business Process Management Workshops
Lena M. Cabrera, Sven Weinzierl, Sandra Zilker, Martin Matzner
2021 J jnl
A technique for determining relevance scores of process activities using graph-based neural networks.
Decis. Support Syst.
Matthias Stierle, Sven Weinzierl, Maximilian Harl, 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
Exploring Gated Graph Sequence Neural Networks for Predicting Next Process Activities.
Business Process Management Workshops
Sven Weinzierl
2021 — conf
Predictive Business Process Deviation Monitoring.
ECIS
Sven Weinzierl, Sebastian Dunzer, Johannes Christian Tenschert, Sandra Zilker, Martin Matzner
2021 — conf
The Recomminder: A decision support tool for Predictive Business Process Monitoring.
BPM (PhD/Demos)
Christoph Drodt, Sven Weinzierl, Martin Matzner, Patrick Delfmann
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
A Technique for Determining Relevance Scores of Process Activities using Graph-based Neural Networks.
CoRR
Matthias Stierle, Sven Weinzierl, Maximilian Harl, 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
Closing the Gap between Smart Manufacturing Applications and Data Management.
Wirtschaftsinformatik (Community Tracks)
Emanuel Marx, Matthias Stierle, Sven Weinzierl, Martin Matzner
2020 — conf
Detecting Workarounds in Business Processes - a Deep Learning method for Analyzing Event Logs.
ECIS
Sven Weinzierl, Verena Wolf, Tobias Pauli, Daniel Beverungen, Martin Matzner
2020 J jnl
Explainable predictive business process monitoring using gated graph neural networks.
J. Decis. Syst.
Maximilian Harl, Sven Weinzierl, Matthias Stierle, Martin Matzner
2020 J jnl
Exploring the effect of context information on deep learning business process predictions.
J. Decis. Syst.
Jens Brunk, Johannes Stottmeister, Sven Weinzierl, Martin Matzner, Jörg Becker
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
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 — conf
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring.
ICPM Workshops
An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, Bjoern M. Eskofier
2020 J jnl
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring.
CoRR
An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, Bjoern M. Eskofier
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
2019 — conf
Predictive Business Process Monitoringwith Context Information from Documents.
ECIS
Sven Weinzierl, Kate Cerqueira Revoredo, Martin Matzner