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Author

Julian Rosenberger

Observed name: Rosenberger, Julian
ORCID: 0000-0002-8987-3910
Observed ORCID: 0000-0002-8987-3910
OpenAlex ID: A5098750115
CareerBERT: Matching resumes to ESCO jobs in a shared embedding space for generic job recommendations
2025 · Julian Rosenberger, Lukas Wolfrum, et al. · Expert Systems with Applications · 37
Leveraging interpretable machine learning in intensive care
2024 · Lasse Bohlen, Julian Rosenberger, et al. · Annals of Operations Research · 14
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The Impact of Transparency in AI Systems on Users’ Data-Sharing Intentions: A Scenario-Based Experiment
2026 · Julian Rosenberger, Sophie Kuhlemann, et al. · Lecture notes in information systems and organisation · 1
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Hate Speech and Sentiment of YouTube Video Comments From Public and Private Sources Covering the Israel-Palestine Conflict
2026 · Simon Hofmann, Christoph Sommermann, et al. · Lecture notes in information systems and organisation · 1
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Appendix to "Beyond Heatmaps: Evaluating More Effective Feature Interaction Visualizations for Generalized Additive Models"
2026 · Nico Hambauer, Julian Rosenberger, et al. · OSF Preprints (OSF Preprints)
Toward generalizable and interpretable machine learning models in healthcare: Insights from ICU outcome predictions
2026 · Lasse Bohlen, Julian Rosenberger, et al. · Health Care Management Science
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Understanding Data-Sharing with AI Systems: The Roles of Transparency, Trust, and the Processing Entity
2026 · Rosenberger, Julian, Kuhlemann, Sophie, et al. · Journal of the Association for Information Systems
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Can Conversational XAI Improve User Performance? An Experimental Study
2026 · Kruschel, Sven, Rosenberger, Julian, et al. · arXiv (Cornell University)
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Can Conversational XAI Improve User Performance?
2026 · Lasse Bohlen, Sven Kruschel, et al. · OSF Preprints (OSF Preprints)
White-Box AI - Transparente Entscheidungsunterstützung durch interpretierbare Machine-Learning-Modelle; Entwicklung und Evaluation von interpretierbaren Machine-Learning-Modellen, die sowohl eine hohe Prognosequalität als auch Transparenz gewährleisten
2026 · Kraus, Mathias, Zschech, Patrick, et al. · RENATE
Unveiling Location-Specific Price Drivers: A Two-Stage Cluster Analysis for Interpretable House Price Predictions
2025 · Gümmer, Paul, Rosenberger, Julian, et al. · arXiv (Cornell University)
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Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users
2025 · Rosenberger, Julian, Schröppel, Philipp, et al. · arXiv (Cornell University)
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CareerBERT: Matching Resumes to ESCO Jobs in a Shared Embedding Space for Generic Job Recommendations
2025 · Rosenberger, Julian, Wolfrum, Lukas, et al. · arXiv (Cornell University)
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Quantifying Visual Properties of GAM Shape Plots: Impact on Perceived Cognitive Load and Interpretability
2025 · Sven Kruschel, Lasse Bohlen, et al. · Hawaii International Conference on System Sciences (HICSS)
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Quantifying Visual Properties of GAM Shape Plots: Impact on Perceived Cognitive Load and Interpretability
2024 · Kruschel, Sven, Bohlen, Lasse, et al. · arXiv (Cornell University)
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Careerbert: Transforming Job Recommendations with Semantic Embeddings
2024 · Julian Rosenberger, Lukas Wolfrum, et al. · SSRN Electronic Journal
Works count: 31
Citation count: 54
H-index: 2
I10-index: 2
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