Sven Weinzierl

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 37

Top Topics

Business Process

Machine Learning

Relevance Scores

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)
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
Recent Advances in Data-Driven Business Process Management. CoRR (2024)
Mathias Kraus, Daniel Tschernutter, Sven Weinzierl, Patrick Zschech
Interpretable generalized additive neural networks. Eur. J. Oper. Res. 317 (2) (2024)
Stefan Arnold, Dilara Yesilbas, Rene Gröbner, Dominik Riedelbauch, Maik Horn, Sven Weinzierl
Documentation Practices of Artificial Intelligence. CoRR (2024)
Stefan Arnold, Dilara Yesilbas, Sven Weinzierl
Driving Context into Text-to-Text Privatization. CoRR (2023)
Stefan Arnold, Dilara Yesilbas, Sven Weinzierl
Guiding Text-to-Text Privatization by Syntax. CoRR (2023)
Christoph Drodt, Sven Weinzierl, Martin Matzner, Patrick Delfmann
Predictive Recommining: Learning Relations Between Event Log Characteristics and Machine Learning Approaches for Supporting Predictive Process Monitoring. CAiSE Forum (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)
Felix Oberdorf, Myriam Schaschek, Sven Weinzierl, Nikolai Stein, Martin Matzner, Christoph M. Flath
Predictive End-to-End Enterprise Process Network Monitoring. Bus. Inf. Syst. Eng. 65 (1) (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)
Lena M. Cabrera, Sven Weinzierl, Sandra Zilker, Martin Matzner
Text-Aware Predictive Process Monitoring with Contextualized Word Embeddings. Business Process Management Workshops (2022)
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)
Sven Weinzierl
Exploring Gated Graph Sequence Neural Networks for Predicting Next Process Activities. Business Process Management Workshops (2021)
Christoph Drodt, Sven Weinzierl, Martin Matzner, Patrick Delfmann
The Recomminder: A decision support tool for Predictive Business Process Monitoring. BPM (PhD/Demos) (2021)
Matthias Stierle, Sven Weinzierl, Maximilian Harl, Martin Matzner
A technique for determining relevance scores of process activities using graph-based neural networks. Decis. Support Syst. 144 (2021)
Sven Weinzierl, Sebastian Dunzer, Johannes Christian Tenschert, Sandra Zilker, Martin Matzner
Predictive Business Process Deviation Monitoring. ECIS (2021)
An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, Bjoern M. Eskofier
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring. ICPM Workshops (2020)
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)
Maximilian Harl, Sven Weinzierl, Matthias Stierle, Martin Matzner
Explainable predictive business process monitoring using gated graph neural networks. J. Decis. Syst. 29 (Supplement) (2020)
Emanuel Marx, Matthias Stierle, Sven Weinzierl, Martin Matzner
Closing the Gap between Smart Manufacturing Applications and Data Management. Wirtschaftsinformatik (Community Tracks) (2020)
Sven Weinzierl, Verena Wolf, Tobias Pauli, Daniel Beverungen, Martin Matzner
Detecting Workarounds in Business Processes - a Deep Learning method for Analyzing Event Logs. ECIS (2020)
An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, Bjoern M. Eskofier
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring. CoRR (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)
Jens Brunk, Johannes Stottmeister, Sven Weinzierl, Martin Matzner, Jörg Becker
Exploring the effect of context information on deep learning business process predictions. J. Decis. Syst. 29 (Supplement) (2020)
Sven Weinzierl, Sebastian Dunzer, Sandra Zilker, Martin Matzner
Prescriptive Business Process Monitoring for Recommending Next Best Actions. CoRR (2020)
Matthias Stierle, Sven Weinzierl, Maximilian Harl, Martin Matzner
A Technique for Determining Relevance Scores of Process Activities using Graph-based Neural Networks. CoRR (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)
Sven Weinzierl, Kate Cerqueira Revoredo, Martin Matzner
Predictive Business Process Monitoringwith Context Information from Documents. ECIS (2019)