Sven Weinzierl

According to our database, Sven Weinzierl authored at least 26 papers between 2019 and 2024.

Collaborative distances:

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

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

Predictive End-to-End Enterprise Process Network Monitoring.

Felix Oberdorf, Myriam Schaschek, Sven Weinzierl, Nikolai Stein, Martin Matzner, Christoph M. Flath

Bus. Inf. Syst. Eng., February, 2023

Guiding Text-to-Text Privatization by Syntax.

Stefan Arnold, Dilara Yesilbas, Sven Weinzierl

CoRR, 2023

Driving Context into Text-to-Text Privatization.

Stefan Arnold, Dilara Yesilbas, Sven Weinzierl

CoRR, 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

Predictive Recommining: Learning Relations Between Event Log Characteristics and Machine Learning Approaches for Supporting Predictive Process Monitoring.

Christoph Drodt, Sven Weinzierl, Martin Matzner, Patrick Delfmann

Proceedings of the Intelligent Information Systems, 2023

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

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

A technique for determining relevance scores of process activities using graph-based neural networks.

Matthias Stierle, Sven Weinzierl, Maximilian Harl, Martin Matzner

Decis. Support Syst., 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

Exploring Gated Graph Sequence Neural Networks for Predicting Next Process Activities.

Sven Weinzierl

Proceedings of the Business Process Management Workshops, 2021

The Recomminder: A decision support tool for Predictive Business Process Monitoring.

Christoph Drodt, Sven Weinzierl, Martin Matzner, Patrick Delfmann

Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2021 co-located with 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, September 6th - to, 2021

2020

Explainable predictive business process monitoring using gated graph neural networks.

Maximilian Harl, Sven Weinzierl, Matthias Stierle, Martin Matzner

J. Decis. Syst., 2020

Exploring the effect of context information on deep learning business process predictions.

Jens Brunk, Johannes Stottmeister, Sven Weinzierl, Martin Matzner, Jörg Becker

J. Decis. Syst., 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

Closing the Gap between Smart Manufacturing Applications and Data Management.

Emanuel Marx, Matthias Stierle, Sven Weinzierl, Martin Matzner

Proceedings of the Entwicklungen, 2020

Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring.

An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, Bjoern M. Eskofier

Proceedings of the Process Mining Workshops, 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

Detecting Workarounds in Business Processes - a Deep Learning method for Analyzing Event Logs.

Sven Weinzierl, Verena Wolf, Tobias Pauli, Daniel Beverungen, Martin Matzner

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

2019

Predictive Business Process Monitoringwith Context Information from Documents.

Sven Weinzierl, Kate Cerqueira Revoredo, Martin Matzner

Proceedings of the 27th European Conference on Information Systems, 2019