Sven Weinzierl

发表

Predictive Business Process Deviation Monitoring

Martin Matzner, Sven Weinzierl, Sandra Zilker, 2021, ECIS.

GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints

Patrick Zschech, S. Zilker, Mathias Kraus, 2022, ECIS.

Explainable predictive business process monitoring using gated graph neural networks

Martin Matzner, Sven Weinzierl, Maximilian Harl, 2020, J. Decis. Syst..

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

Martin Matzner, Sven Weinzierl, Matthias Stierle, 2020, Decis. Support Syst..

Bringing Light Into the Darkness - A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques

Jörg Becker, Jens Brunk, Martin Matzner, 2021, ECIS.

XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP

Kate Revoredo, Jens Brunk, Jörg Becker, 2020, Business Process Management Workshops.

Interpretable generalized additive neural networks

D. Tschernutter, Patrick Zschech, Mathias Kraus, 2023, European Journal of Operational Research.

An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs pdf

J. Becker, S. Weinzierl, S. Zilker, 2020, ArXiv.

Predictive End-to-End Enterprise Process Network Monitoring

M. Matzner, N. Stein, C. Flath, 2022, Business & Information Systems Engineering.

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

Jens Brunk, Jörg Becker, Martin Matzner, 2020, J. Decis. Syst..

From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events

Martin Matzner, Sven Weinzierl, Sandra Zilker, 2020, Wirtschaftsinformatik.

Detecting temporal workarounds in business processes – A deep-learning-based method for analysing event log data

D. Beverungen, M. Matzner, Verena Wolf, 2021, Journal of Business Analytics.

A Next Click Recommender System for Web-based Service Analytics with Context-aware LSTMs

Martin Matzner, Sven Weinzierl, Sandra Zilker, 2020, HICSS.

Guiding Text-to-Text Privatization by Syntax

Sven Weinzierl, Stefan Arnold, Dilara Yesilbas, 2023, TRUSTNLP.

Driving Context into Text-to-Text Privatization

Sven Weinzierl, Stefan Arnold, Dilara Yesilbas, 2023, TRUSTNLP.

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

Daniel Beverungen, Martin Matzner, Verena Wolf, 2020, ECIS.