Scholar
Patrick Zschech
Google Scholar ID: 8fB2RqoAAAAJ
Professor of Business Information Systems, esp. Intelligent Systems & Services, TU Dresden
Business Analytics
Decision Support Systems
Deep Learning
Interpretable Machine Learning
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Citations & Impact
All-time
Citations
6,390
H-index
20
i10-index
37
Publications
20
Co-authors
54
list available
Contact
No contact links provided.
Publications
7 items
Overcoming Algorithm Aversion with Transparency: Can Transparent Predictions Change User Behavior?
2025
Cited
0
Unveiling Location-Specific Price Drivers: A Two-Stage Cluster Analysis for Interpretable House Price Predictions
2025
Cited
0
Analyzing German Parliamentary Speeches: A Machine Learning Approach for Topic and Sentiment Classification
2025
Cited
0
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users
2025
Cited
0
Beware of"Explanations"of AI
2025
Cited
0
CareerBERT: Matching resumes to ESCO jobs in a shared embedding space for generic job recommendations
Expert systems with applications · 2025
Cited
0
The Impact of Transparency in AI Systems on Users' Data-Sharing Intentions: A Scenario-Based Experiment
2025
Cited
0
Resume (English only)
Co-authors
54 total
Co-author 1
Christian Janiesch
TU Dortmund University
Mathias Kraus
Professor for Explainable AI, University of Regensburg
Stefan Feuerriegel
Professor, LMU Munich
Sven Weinzierl
Researcher, Friedrich-Alexander-Universität Erlangen-Nürnberg
Co-author 6
Co-author 7
Co-author 8
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