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Author

Niklas Kühl

Observed names: Kuhl, NIklas, Kühl, Niklas, Kühl, Niklas [Interviewter], Niklas Kuhl
Observed institutions: Karlsruhe Institute of Technology, Einstein Center Digital Future, IBM (Germany), Fraunhofer Institute for Applied Information Technology, University of Bayreuth, Freie Universität Berlin, McMaster University
ORCID: 0000-0001-6750-0876
Observed ORCID: 0000-0001-6750-0876
OpenAlex ID: A5071819311
Machine Learning Operations (MLOps): Overview, Definition, and Architecture
2023 · Dominik Kreuzberger, Niklas Kühl, et al. · IEEE Access · 766
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Designing Transparency for Effective Human-AI Collaboration
2022 · Michael Vössing, Niklas Kühl, et al. · Information Systems Frontiers · 222
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Artificial intelligence and machine learning
2022 · Niklas Kühl, Max Schemmer, et al. · Electronic Markets · 179
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Complementarity in human-AI collaboration: concept, sources, and evidence
2025 · Patrick Hemmer, Max Schemmer, et al. · European Journal of Information Systems · 132
Virtual Sensors
2021 · Dominik Martin, Niklas Kühl, et al. · Business & Information Systems Engineering · 129
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AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments
2021 · Lucia Schuler, Somaya Jamil, et al. · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · 111
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Data-Centric Artificial Intelligence
2024 · Johannes Jakubik, Michael Vössing, et al. · Business & Information Systems Engineering · 108
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
2022 · Max Schemmer, Patrick Hemmer, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 95
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Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media
2019 · Niklas Kühl, Marius Mühlthaler, et al. · Electronic Markets · 90
Machine Learning in Artificial Intelligence: Towards a Common Understanding
2019 · Niklas Kühl, Marc Goutier, et al. · Hawaii International Conference on System Sciences (HICSS) · 76
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Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
2024 · Jakob Schoeffer, Maria De-Arteaga, et al. · CHI Conference on Human Factors in Computing Systems · 72
The Impact of Imperfect XAI on Human-AI Decision-Making
2024 · Katelyn Morrison, Philipp Spitzer, et al. · Proceedings of the ACM on Human-Computer Interaction · 63
Artificial intelligence for sustainability: Facilitating sustainable smart product-service systems with computer vision
2023 · Jannis Walk, Niklas Kühl, et al. · Journal of Cleaner Production · 55
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A Critical Survey on Fairness Benefits of Explainable AI
2024 · Luca Deck, Jakob Schoeffer, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 51
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Machine Learning Operations (MLOps): Overview, Definition, and Architecture
2022 · Kreuzberger, Dominik, Kühl, Niklas, et al. · arXiv (Cornell University) · 51
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Literature vs. Twitter: Empirical insights on customer needs in e-mobility
2018 · Niklas Kühl, Marc Goutier, et al. · Journal of Cleaner Production · 47
Human vs. supervised machine learning: Who learns patterns faster?
2022 · Niklas Kühl, Marc Goutier, et al. · Cognitive Systems Research · 46
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review
2021 · Patrick Hemmer, Max Schemmer, et al. · Journal of the Association for Information Systems · 46
How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card
2021 · Niklas Kühl, Robin Hirt, et al. · Communications of the Association for Information Systems · 37
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Cognitive computing for customer profiling: meta classification for gender prediction
2019 · Robin Hirt, Niklas Kühl, et al. · Electronic Markets · 36
How to Cope with Change? - Preserving Validity of Predictive Services over Time
2019 · Lucas Baier, Niklas Kühl, et al. · Hawaii International Conference on System Sciences (HICSS) · 33
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Deep Learning Strategies for Industrial Surface Defect Detection Systems
2022 · Dominik Martin, Simon Heinzel, et al. · Hawaii International Conference on System Sciences (HICSS) · 31
DEAL: Deep Evidential Active Learning for Image Classification
2021 · Patrick Hemmer, Niklas Kühl, et al. · Advances in intelligent systems and computing · 23
labelCloud: A Lightweight Labeling Tool for Domain-Agnostic 3D Object Detection in Point Clouds
2022 · Christoph Sager, Patrick Zschech, et al. · Computer-Aided Design and Applications · 22
Will the customers be happy? Identifying unsatisfied customers from service encounter data
2020 · Lucas Baier, Niklas Kühl, et al. · Journal of service management · 22
Works count: 179
Citation count: 3,247
H-index: 23
I10-index: 53
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