Sven Weinzierl
Orcid: 0000-0003-2268-7352
According to our database1,
Sven Weinzierl
authored at least 35 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Expert Syst. Appl., 2024
Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models.
CoRR, 2024
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis.
CoRR, 2024
How Risky is my AI System? A Method for Transparent Classification of AI System Descriptions by Regulated AI Risk Categories.
Proceedings of the 45th International Conference on Information Systems, 2024
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Predicting Customer Satisfaction in Service Processes Using Multilingual Large Language Models.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Proceedings of the 32nd European Conference on Information Systems, 2024
Towards Automated Business Process Redesign in Runtime Using Generative Machine Learning.
Proceedings of the 32nd European Conference on Information Systems, 2024
2023
Bus. Inf. Syst. Eng., February, 2023
Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction.
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.
Proceedings of the Intelligent Information Systems, 2023
2022
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.
Proceedings of the 30th European Conference on Information Systems, 2022
Proceedings of the Business Process Management Workshops, 2022
2021
A technique for determining relevance scores of process activities using graph-based neural networks.
Decis. Support Syst., 2021
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.
Proceedings of the 29th European Conference on Information Systems, 2021
Exploring Gated Graph Sequence Neural Networks for Predicting Next Process Activities.
Proceedings of the Business Process Management Workshops, 2021
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.
J. Decis. Syst., 2020
Exploring the effect of context information on deep learning business process predictions.
J. Decis. Syst., 2020
An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs.
CoRR, 2020
From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events.
Proceedings of the Entwicklungen, 2020
Proceedings of the Entwicklungen, 2020
Proceedings of the Process Mining Workshops, 2020
A Next Click Recommender System for Web-based Service Analytics with Context-aware LSTMs.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
Detecting Workarounds in Business Processes - a Deep Learning method for Analyzing Event Logs.
Proceedings of the 28th European Conference on Information Systems, 2020
Proceedings of the Business Process Management Workshops, 2020
Proceedings of the Business Process Management Forum, 2020
2019
Proceedings of the 27th European Conference on Information Systems, 2019