Niklas Kühl - RankMe

217 papers A* 4A 1B 1C 11Misc 3Journal 115Unranked 71

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of AI Reliance. ACM Comput. Surv. Sven Eckhardt, Niklas Kühl, Mateusz Dolata, Gerhard Schwabe
2026	J	`jnl`	Integrating Causal Machine Learning into Clinical Decision Support Systems: Insights from Literature and Practice. CoRR Domenique Zipperling, Lukas Schmidt, Benedikt Hahn, Niklas Kühl, Steven Kimbrough
2026	J	`jnl`	Multi-agent AI. Electron. Mark. Simeon Allmendinger, Lukas Bonenberger, Kathrin Endres, Dominik Fetzer, Henner Gimpel, Niklas Kühl
2026	J	`jnl`	Normative Common Ground Replication (NormCoRe): Replication-by-Translation for Studying Norms in Multi-agent AI. CoRR Luca Deck, Simeon Allmendinger, Lucas Müller, Niklas Kühl
2026	J	`jnl`	Reading Between the Tokens: Improving Preference Predictions through Mechanistic Forecasting. CoRR Sarah Ball, Simeon Allmendinger, Niklas Kühl, Frauke Kreuter
2025	J	`jnl`	A Multi-Level Strategy for Deepfake Content Moderation under EU Regulation. CoRR Max-Paul Förster, Luca Deck, Raimund Weidlich, Niklas Kühl
2025	J	`jnl`	AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions. J. Artif. Intell. Res. Jakob Schöffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger
2025	J	`jnl`	Balancing the Unknown: Exploring Human Reliance on AI Advice under Aleatoric and Epistemic Uncertainty. ACM Trans. Comput. Hum. Interact. Joshua Holstein, Lars Böcking, Philipp Spitzer, Niklas Kühl, Michael Vössing, Gerhard Satzger
2025	J	`jnl`	Beware of "Explanations" of AI. CoRR David Martens, Galit Shmueli, Theodoros Evgeniou, Kevin Bauer, Christian Janiesch, Stefan Feuerriegel, Sebastian Gabel, Sofie Goethals, Travis Greene, Nadja Klein, Mathias Kraus, Niklas Kühl, Claudia Perlich, Wouter Verbeke, Alona Zharova, Patrick Zschech, Foster J. Provost
2025	J	`jnl`	Complementarity in human-AI collaboration: concept, sources, and evidence. Eur. J. Inf. Syst. Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger
2025	C	`conf`	Data Quality Challenges in Retrieval-Augmented Generation. ICIS Leopold Müller, Joshua Holstein, Sarah Bause, Gerhard Satzger, Niklas Kühl
2025	J	`jnl`	Data Quality Challenges in Retrieval-Augmented Generation. CoRR Leopold Müller, Joshua Holstein, Sarah Bause, Gerhard Satzger, Niklas Kühl
2025	J	`jnl`	Data-Centric Fine-Tuning of Small Language Models for Automatic Extraction of Technical Requirements. IEEE Access Leopold Müller, Nina Schwarz, Lars Böcking, Andreas Bereczuk, Hanno Stagge, Wolfgang Kratsch, Niklas Kühl
2025	J	`jnl`	Deepfakes in Criminal Investigations: Interdisciplinary Research Directions for CMC Research. CoRR Lorenz Meinen, Astrid Schomäcker, Stefanie Wiedemann, Markus Hartmann, Timo Speith, Lena Kästner, Niklas Kühl, Christian Rückert
2025	J	`jnl`	Do Edges Matter? Investigating Edge-Enhanced Pre-Training for Medical Image Segmentation. CoRR Paul Zaha, Lars Böcking, Simeon Allmendinger, Leopold Müller, Niklas Kühl
2025	—	`conf`	Do Edges Matter? Investigating Edge-Enhanced Pre-training for Medical Image Segmentation. DEMI@MICCAI Paul Zaha, Simeon Allmendinger, Lars Böcking, Leopold Müller, Niklas Kühl
2025	J	`jnl`	Enabling inter-organizational analytics in business networks through meta machine learning. Inf. Technol. Manag. Robin Hirt, Niklas Kühl, Dominik Martin, Gerhard Satzger
2025	J	`jnl`	Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability. CoRR Daniel Hendriks, Philipp Spitzer, Niklas Kühl, Gerhard Satzger
2025	J	`jnl`	Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information. Proc. ACM Hum. Comput. Interact. Philipp Spitzer, Joshua Holstein, Patrick Hemmer, Michael Vössing, Niklas Kühl, Dominik Martin, Gerhard Satzger
2025	J	`jnl`	Human Preferences in Large Language Model Latent Space: A Technical Analysis on the Reliability of Synthetic Data in Voting Outcome Prediction. CoRR Sarah Ball, Simeon Allmendinger, Frauke Kreuter, Niklas Kühl
2025	J	`jnl`	Imperfections of XAI: Phenomena Influencing AI-Assisted Decision-Making. ACM Trans. Interact. Intell. Syst. Philipp Spitzer, Katelyn Morrison, Violet Turri, Michelle Feng, Adam Perer, Niklas Kühl
2025	—	`conf`	It's only fair when I think it's fair: How Gender Bias Alignment Undermines Distributive Fairness in Human-AI Collaboration. FAccT Domenique Zipperling, Luca Deck, Julia Lanzl, Niklas Kühl
2025	J	`jnl`	It's only fair when I think it's fair: How Gender Bias Alignment Undermines Distributive Fairness in Human-AI Collaboration. CoRR Domenique Zipperling, Luca Deck, Julia Lanzl, Niklas Kühl
2025	C	`conf`	PromptPilot: Improving Human-AI Collaboration Through LLM-Enhanced Prompt Engineering. ICIS Niklas Gutheil, Valentin Mayer, Leopold Müller, Jörg Römmelt, Niklas Kühl
2025	J	`jnl`	PromptPilot: Improving Human-AI Collaboration Through LLM-Enhanced Prompt Engineering. CoRR Niklas Gutheil, Valentin Mayer, Leopold Müller, Jörg Römmelt, Niklas Kühl
2025	J	`jnl`	The EU AI Act, Stakeholder Needs, and Explainable AI: Aligning Regulatory Compliance in a Clinical Decision Support System. CoRR Anton Hummel, Håkan Burden, Susanne Stenberg, Jan-Philipp Steghöfer, Niklas Kühl
2025	A*	`conf`	Towards Human-Understandable Multi-Dimensional Concept Discovery. CVPR Arne Grobrügge, Niklas Kühl, Gerhard Satzger, Philipp Spitzer
2025	J	`jnl`	Towards Human-Understandable Multi-Dimensional Concept Discovery. CoRR Arne Grobrügge, Niklas Kühl, Gerhard Satzger, Philipp Spitzer
2025	J	`jnl`	Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning. CoRR Philipp Spitzer, Dominik Martin, Laurin Eichberger, Niklas Kühl
2024	Misc	`conf`	(X)AI as a Teacher: Learning with Explainable Artificial Intelligence. MuC Philipp Spitzer, Marc Goutier, Niklas Kühl, Gerhard Satzger
2024	—	`conf`	A Critical Survey on Fairness Benefits of Explainable AI. FAccT Luca Deck, Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl
2024	—	`conf`	A Multivocal Literature Review on Privacy and Fairness in Federated Learning. Wirtschaftsinformatik Beatrice Balbierer, Lukas Heinlein, Domenique Zipperling, Niklas Kühl
2024	J	`jnl`	A Multivocal Literature Review on Privacy and Fairness in Federated Learning. CoRR Beatrice Balbierer, Lukas Heinlein, Domenique Zipperling, Niklas Kühl
2024	J	`jnl`	A Survey of AI Reliance. CoRR Sven Eckhardt, Niklas Kühl, Mateusz Dolata, Gerhard Schwabe
2024	J	`jnl`	CollaFuse: Collaborative Diffusion Models. CoRR Simeon Allmendinger, Domenique Zipperling, Lukas Struppek, Niklas Kühl
2024	J	`jnl`	CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI. CoRR Domenique Zipperling, Simeon Allmendinger, Lukas Struppek, Niklas Kühl
2024	—	`conf`	Collafuse: Navigating Limited Resources and Privacy in Collaborative Generative AI. ECIS Domenique Zipperling, Simeon Allmendinger, Lukas Struppek, Niklas Kühl
2024	J	`jnl`	Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence. CoRR Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger
2024	J	`jnl`	Data-Centric Artificial Intelligence. Bus. Inf. Syst. Eng. Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger
2024	J	`jnl`	Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration. CoRR Philipp Spitzer, Joshua Holstein, Katelyn Morrison, Kenneth Holstein, Gerhard Satzger, Niklas Kühl
2024	A*	`conf`	Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making. CHI Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl
2024	J	`jnl`	Image-Mining-Based Decision Support Systems: Design Knowledge and its Evaluation in Tool Wear Analysis. Commun. Assoc. Inf. Syst. Jannis Walk, Max Schemmer, Niklas Kühl, Gerhard Satzger
2024	J	`jnl`	Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness. CoRR Luca Deck, Jan-Laurin Müller, Conradin Braun, Domenique Zipperling, Niklas Kühl
2024	—	`conf`	Implications of the Ai Act for Non-discrimination Law and Algorithmic Fairness. EWAF Luca Deck, Jan-Laurin Müller, Conradin Braun, Domenique Zipperling, Niklas Kühl
2024	—	`conf`	Interactive Generation of Laparoscopic Videos with Diffusion Models. DGM4MICCAI@MICCAI Ivan Iliash, Simeon Allmendinger, Felix Meissen, Niklas Kühl, Daniel Rückert
2024	J	`jnl`	Interactive Generation of Laparoscopic Videos with Diffusion Models. CoRR Ivan Iliash, Simeon Allmendinger, Felix Meissen, Niklas Kühl, Daniel Rückert
2024	—	`conf`	Introduction to the Minitrack on Service Analytics. HICSS Niklas Kühl, Thomas Setzer, Hansjörg Fromm, Michael Vössing
2024	J	`jnl`	Investigating the Role of Explainability and AI Literacy in User Compliance. CoRR Niklas Kühl, Christian Meske, Maximilian Nitsche, Jodie Lobana
2024	Misc	`conf`	Looking Through the Deep Glasses: How Large Language Models Enhance Explainability of Deep Learning Models. MuC Philipp Spitzer, Sebastian Celis, Dominik Martin, Niklas Kühl, Gerhard Satzger
2024	J	`jnl`	Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle. CoRR Luca Deck, Astrid Schomäcker, Timo Speith, Jakob Schöffer, Lena Kästner, Niklas Kühl
2024	—	`conf`	Mapping the Potential of Explainable Artificial Intelligence (xai) for Fairness Along the Ai Lifecycle. EWAF Luca Deck, Astrid Schomäcker, Timo Speith, Jakob Schöffer, Lena Kästner, Niklas Kühl
2024	J	`jnl`	On the Effect of Contextual Information on Human Delegation Behavior in Human-AI collaboration. CoRR Philipp Spitzer, Joshua Holstein, Patrick Hemmer, Michael Vössing, Niklas Kühl, Dominik Martin, Gerhard Satzger
2024	A*	`conf`	Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. AAAI Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor M. Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl
2024	J	`jnl`	The Impact of Imperfect XAI on Human-AI Decision-Making. Proc. ACM Hum. Comput. Interact. Katelyn Morrison, Philipp Spitzer, Violet Turri, Michelle Feng, Niklas Kühl, Adam Perer
2024	J	`jnl`	Toward Avoiding the Data Mess: Industry Insights From Data Mesh Implementations. IEEE Access Jan Bode, Niklas Kühl, Dominik Kreuzberger, Carsten Holtmann
2024	—	`conf`	Transferring Domain Knowledge with (X)AI-Based Learning Systems. ECIS Philipp Spitzer, Niklas Kühl, Marc Goutier, Manuel Kaschura, Gerhard Satzger
2024	J	`jnl`	Transferring Domain Knowledge with (X)AI-Based Learning Systems. CoRR Philipp Spitzer, Niklas Kühl, Marc Goutier, Manuel Kaschura, Gerhard Satzger
2024	—	`conf`	Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics. ECIS Joshua Holstein, Philipp Spitzer, Marieke Hoell, Michael Vössing, Niklas Kühl
2024	J	`jnl`	Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics. CoRR Joshua Holstein, Philipp Spitzer, Marieke Hoell, Michael Vössing, Niklas Kühl
2024	J	`jnl`	Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets. CoRR Lars Böcking, Leopold Müller, Niklas Kühl
2023	J	`jnl`	A Critical Survey on Fairness Benefits of XAI. CoRR Luca Deck, Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl
2023	J	`jnl`	AB2CD: AI for Building Climate Damage Classification and Detection. CoRR Maximilian Nitsche, S. Karthik Mukkavilli, Niklas Kühl, Thomas Brunschwiler
2023	A	`conf`	Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations. IUI Max Schemmer, Niklas Kühl, Carina Benz, Andrea Bartos, Gerhard Satzger
2023	J	`jnl`	Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations. CoRR Max Schemmer, Niklas Kühl, Carina Benz, Andrea Bartos, Gerhard Satzger
2023	J	`jnl`	Artificial Intelligence for Sustainability: Facilitating Sustainable Smart Product-Service Systems with Computer Vision. CoRR Jannis Walk, Niklas Kühl, Michael Saidani, Jürgen Schatte
2023	J	`jnl`	Conceptualizing A Multi-Sided Platform For Cloud Computing Resource Trading. CoRR Franziska Haller, Max Schemmer, Niklas Kühl, Carsten Holtmann
2023	—	`conf`	Conceptualizing a Multi-Sided Platform for Cloud Computing Resource Trading. ECIS Franziska Haller, Max Schemmer, Niklas Kühl, Carsten Holtmann
2023	J	`jnl`	Data Mesh: Motivational Factors, Challenges, and Best Practices. CoRR Jan Bode, Niklas Kühl, Dominik Kreuzberger, Sebastian Hirschl
2023	—	`conf`	Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images. HICSS Marco Geiger, Dominik Martin, Niklas Kühl
2023	—	`conf`	Detecting Concept Drift with Neural Network Model Uncertainty. HICSS Lucas Baier, Tim Schlör, Jakob Schoeffer, Niklas Kühl
2023	J	`jnl`	Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning. CoRR Robin Hirt, Niklas Kühl, Dominik Martin, Gerhard Satzger
2023	—	`conf`	Introduction to the Minitrack on Service Analytics. HICSS Hansjörg Fromm, Niklas Kühl, Gerhard Satzger, Thomas Setzer
2023	A*	`conf`	Learning to Defer with Limited Expert Predictions. AAAI Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl
2023	J	`jnl`	Learning to Defer with Limited Expert Predictions. CoRR Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl
2023	J	`jnl`	ML-Based Teaching Systems: A Conceptual Framework. CoRR Philipp Spitzer, Niklas Kühl, Daniel Heinz, Gerhard Satzger
2023	J	`jnl`	ML-Based Teaching Systems: A Conceptual Framework. Proc. ACM Hum. Comput. Interact. Philipp Spitzer, Niklas Kühl, Daniel Heinz, Gerhard Satzger
2023	J	`jnl`	Machine Learning Operations (MLOps): Overview, Definition, and Architecture. IEEE Access Dominik Kreuzberger, Niklas Kühl, Sebastian Hirschl
2023	J	`jnl`	Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation. CoRR Simeon Allmendinger, Patrick Hemmer, Moritz Queisner, Igor M. Sauer, Leopold Müller, Johannes Jakubik, Michael Vössing, Niklas Kühl
2023	—	`conf`	On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. HHAI Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger
2023	J	`jnl`	On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. CoRR Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger
2023	—	`conf`	On the Perception of Difficulty: Differences between Human and AI. AutomationXP@CHI Philipp Spitzer, Joshua Holstein, Michael Vössing, Niklas Kühl
2023	J	`jnl`	On the Perception of Difficulty: Differences between Humans and AI. CoRR Philipp Spitzer, Joshua Holstein, Michael Vössing, Niklas Kühl
2023	J	`jnl`	Redefining the Laparoscopic Spatial Sense: AI-based Intra- and Postoperative Measurement from Stereoimages. CoRR Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor M. Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl
2023	J	`jnl`	The Impact of Imperfect XAI on Human-AI Decision-Making. CoRR Katelyn Morrison, Philipp Spitzer, Violet Turri, Michelle Feng, Niklas Kühl, Adam Perer
2023	C	`conf`	Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. IGARSS Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler
2023	J	`jnl`	Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. CoRR Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler
2023	C	`conf`	Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice. ICIS Max Schemmer, Andrea Bartos, Philipp Spitzer, Patrick Hemmer, Niklas Kühl, Jonas Liebschner, Gerhard Satzger
2023	J	`jnl`	Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice. CoRR Max Schemmer, Andrea Bartos, Philipp Spitzer, Patrick Hemmer, Niklas Kühl, Jonas Liebschner, Gerhard Satzger
2023	J	`jnl`	Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series. CoRR Max Schemmer, Joshua Holstein, Niklas Bauer, Niklas Kühl, Gerhard Satzger
2022	—	`conf`	"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making. FAccT Jakob Schoeffer, Niklas Kühl, Yvette Machowski
2022	J	`jnl`	"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making. CoRR Jakob Schoeffer, Niklas Kühl, Yvette Machowski
2022	C	`conf`	A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making. AIES Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Kühl, Michael Vössing
2022	J	`jnl`	A Meta-Analysis on the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making. CoRR Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Kühl, Michael Vössing
2022	—	`conf`	An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. PKDD/ECML Workshops (1) Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl
2022	J	`jnl`	An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. CoRR Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl
2022	J	`jnl`	Artificial intelligence and machine learning. Electron. Mark. Niklas Kühl, Max Schemmer, Marc Goutier, Gerhard Satzger
2022	J	`jnl`	Data-centric Artificial Intelligence. CoRR Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger
2022	J	`jnl`	Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images. CoRR Marco Geiger, Dominik Martin, Niklas Kühl
2022	—	`conf`	Deep Learning Strategies for Industrial Surface Defect Detection Systems. HICSS Dominik Martin, Simon Heinzel, Johannes Kunze von Bischhoffshausen, Niklas Kühl
2022	J	`jnl`	Design Knowledge for Deep-Learning-Enabled Image-Based Decision Support Systems. Bus. Inf. Syst. Eng. Julius Peter Landwehr, Niklas Kühl, Jannis Walk, Mario Gnädig
2022	—	`conf`	Design and Evaluation of an Anti-phishing Artifact Based on Useful Transparency. STAST Christopher Beckmann, Benjamin Berens, Niklas Kühl, Peter Mayer, Mattia Mossano, Melanie Volkamer
2022	J	`jnl`	Designing Transparency for Effective Human-AI Collaboration. Inf. Syst. Frontiers Michael Vössing, Niklas Kühl, Matteo Lind, Gerhard Satzger
2022	—	`conf`	Driver state prediction from vehicle signals: An evaluation of segmentation approaches. ITSC Martin Maritsch, Kevin Koch, Hauke Thomsen, Niklas Kühl, Matthias Pfäffli, Wolfgang Weinmann, Felix Wortmann
2022	—	`conf`	Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making. ECIS Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas Kühl
2022	J	`jnl`	Factors that influence the adoption of human-AI collaboration in clinical decision-making. CoRR Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas Kühl
2022	—	`conf`	Fake or Credible? Towards Designing Services to Support Users' Credibility Assessment of News Content. HICSS Enrico Bunde, Niklas Kühl, Christian Meske
2022	J	`jnl`	Human vs. supervised machine learning: Who learns patterns faster? Cogn. Syst. Res. Niklas Kühl, Marc Goutier, Lucas Baier, Clemens Wolff, Dominik Martin
2022	—	`conf`	Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Workers Through Explainable Artificial Intelligence. HICSS Max Schemmer, Niklas Kühl, Gerhard Satzger
2022	—	`conf`	Introduction to the Minitrack on Service Analytics. HICSS Hansjörg Fromm, Gerhard Satzger, Niklas Kühl, Thomas Setzer
2022	J	`jnl`	Machine Learning Operations (MLOps): Overview, Definition, and Architecture. CoRR Dominik Kreuzberger, Niklas Kühl, Sebastian Hirschl
2022	J	`jnl`	On Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making. CoRR Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl
2022	J	`jnl`	On the Effect of Information Asymmetry in Human-AI Teams. CoRR Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger
2022	—	`conf`	On the Influence of Explainable AI on Automation Bias. ECIS Max Schemmer, Niklas Kühl, Carina Benz, Gerhard Satzger
2022	J	`jnl`	On the Influence of Explainable AI on Automation Bias. CoRR Max Schemmer, Niklas Kühl, Carina Benz, Gerhard Satzger
2022	J	`jnl`	On the Relationship Between Explanations, Fairness Perceptions, and Decisions. CoRR Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl
2022	—	`conf`	Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making. HICSS Jakob Schoeffer, Yvette Machowski, Niklas Kühl
2022	J	`jnl`	Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making. CoRR Max Schemmer, Patrick Hemmer, Niklas Kühl, Carina Benz, Gerhard Satzger
2022	J	`jnl`	Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer. CoRR Philipp Spitzer, Niklas Kühl, Marc Goutier
2022	—	`conf`	Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry. HICSS Patrick Hemmer, Niklas Kühl, Jakob Schoeffer
2022	—	`conf`	What to prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development. HICSS Thi Thu Hang Do, Markus Dobler, Niklas Kühl
2021	—	`conf`	"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics. HICSS Niklas Kühl, Dominik Martin, Clemens Wolff, Melanie Volkamer
2021	—	`conf`	A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. ECIS Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl
2021	J	`jnl`	A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. CoRR Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl
2021	C	`conf`	A Ranking Approach to Fair Classification. COMPASS Jakob Schöffer, Niklas Kühl, Isabel Valera
2021	J	`jnl`	A Ranking Approach to Fair Classification. CoRR Jakob Schöffer, Niklas Kühl, Isabel Valera
2021	—	`conf`	A Study on Fairness and Trust Perceptions in Automated Decision Making. IUI Workshops Jakob Schöffer, Yvette Machowski, Niklas Kühl
2021	J	`jnl`	A Study on Fairness and Trust Perceptions in Automated Decision Making. CoRR Jakob Schöffer, Yvette Machowski, Niklas Kühl
2021	B	`conf`	AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments. CCGRID Lucia Schuler, Somaya Jamil, Niklas Kühl
2021	—	`conf`	Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems. CSCW Companion Jakob Schöffer, Niklas Kühl
2021	J	`jnl`	Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems. CoRR Jakob Schöffer, Niklas Kühl
2021	—	`conf`	Conceptualizing Digital Resilience for AI-based Information Systems. ECIS Max Schemmer, Daniel Heinz, Lucas Baier, Michael Vössing, Niklas Kühl
2021	J	`jnl`	Deep Learning Strategies for Industrial Surface Defect Detection Systems. CoRR Dominik Martin, Simon Heinzel, Johannes Kunze von Bischhoffshausen, Niklas Kühl
2021	—	`conf`	Designing Chemical Emergency Response Systems Based on Open Data. HICSS Tobias Enders, Niklas Kühl, Jannis Walk, Marc Muff
2021	J	`jnl`	Detecting Concept Drift With Neural Network Model Uncertainty. CoRR Lucas Baier, Tim Schlör, Jakob Schöffer, Niklas Kühl
2021	J	`jnl`	Fake or Credible? Towards Designing Services to Support Users' Credibility Assessment of News Content. CoRR Enrico Bunde, Niklas Kühl, Christian Meske
2021	J	`jnl`	How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card. Commun. Assoc. Inf. Syst. Niklas Kühl, Robin Hirt, Lucas Baier, Björn Schmitz, Gerhard Satzger
2021	—	`conf`	Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review. PACIS Patrick Hemmer, Max Schemmer, Michael Vössing, Niklas Kühl
2021	—	`conf`	Increasing Robustness for Machine Learning Services in Challenging Environments: Limited Resources and No Label Feedback. IntelliSys (1) Lucas Baier, Niklas Kühl, Jörg Schmitt
2021	J	`jnl`	Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence. CoRR Max Schemmer, Niklas Kühl, Gerhard Satzger
2021	—	`conf`	Introduction to the Minitrack on Service Analytics. HICSS Thomas Setzer, Hansjörg Fromm, Niklas Kühl, Gerhard Satzger
2021	J	`jnl`	Needmining: Designing Digital Support to Elicit Needs from Social Media. CoRR Niklas Kühl, Gerhard Satzger
2021	J	`jnl`	Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making. CoRR Jakob Schöffer, Yvette Machowski, Niklas Kühl
2021	—	`conf`	Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability. HICSS Robin Hirt, Akash Srivastava, Carlos Berg, Niklas Kühl
2021	—	`conf`	Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets. HICSS Lucas Baier, Vincent Kellner, Niklas Kühl, Gerhard Satzger
2021	—	`conf`	Towards a Reference Architecture for Future Industrial Internet of Things Networks. CBI (2) Dominik Martin, Niklas Kühl, Marcel Schwenk
2021	J	`jnl`	Towards a Reference Architecture for Future Industrial Internet of Things Networks. CoRR Dominik Martin, Niklas Kühl, Marcel Schwenk
2021	J	`jnl`	Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry. CoRR Patrick Hemmer, Niklas Kühl, Jakob Schöffer
2021	J	`jnl`	Virtual Sensors. Bus. Inf. Syst. Eng. Dominik Martin, Niklas Kühl, Gerhard Satzger
2021	J	`jnl`	What to Prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development. CoRR Thi Thu Hang Do, Markus Dobler, Niklas Kühl
2021	J	`jnl`	labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds. CoRR Christoph Sager, Patrick Zschech, Niklas Kühl
2020	J	`jnl`	"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics. CoRR Niklas Kühl, Dominik Martin, Clemens Wolff, Melanie Volkamer
2020	—	`conf`	A Network-based Transfer Learning Approach to Improve Sales Forecasting of New Products. ECIS Tristan Karb, Niklas Kühl, Robin Hirt, Varvara Glivici-Cotruta
2020	—	`conf`	A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs. HICSS Dominik Martin, Philipp Spitzer, Niklas Kühl
2020	J	`jnl`	A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs. CoRR Dominik Martin, Philipp Spitzer, Niklas Kühl
2020	J	`jnl`	A network-based transfer learning approach to improve sales forecasting of new products. CoRR Tristan Karb, Niklas Kühl, Robin Hirt, Varvara Glivici-Cotruta
2020	J	`jnl`	AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments. CoRR Lucia Schuler, Somaya Jamil, Niklas Kühl
2020	—	`conf`	An Uncertainty-Based Human-in-the-Loop System for Industrial Tool Wear Analysis. ECML/PKDD (5) Alexander Treiss, Jannis Walk, Niklas Kühl
2020	J	`jnl`	An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis. CoRR Alexander Treiss, Jannis Walk, Niklas Kühl
2020	J	`jnl`	Comfort-as-a-Service: Designing a User-Oriented Thermal Comfort Artifact for Office Buildings. CoRR Svenja Laing, Niklas Kühl
2020	C	`conf`	DEAL: Deep Evidential Active Learning for Image Classification. ICMLA Patrick Hemmer, Niklas Kühl, Jakob Schöffer
2020	J	`jnl`	DEAL: Deep Evidential Active Learning for Image Classification. CoRR Patrick Hemmer, Niklas Kühl, Jakob Schöffer
2020	—	`ch.`	Designing a Smart Service for Customer Need Identification in B2B Ticketing Systems. Smart Service Management Lena Eckstein, Niklas Kühl, Gerhard Satzger
2020	J	`jnl`	Do you comply with AI? - Personalized explanations of learning algorithms and their impact on employees' compliance behavior. CoRR Niklas Kühl, Jodie Lobana, Christian Meske
2020	—	`conf`	Enabling System-Oriented Service Delivery in Industrial Maintenance: A Meta-method for Predicting Industrial Costs of Downtime. IESS Clemens Wolff, Niklas Kühl, Gerhard Satzger
2020	—	`conf`	Engineering Industrial Service Systems: Design and Evaluation of System-Oriented Service Delivery. DESRIST Clemens Wolff, Niklas Kühl, Gerhard Satzger
2020	—	`ed.`	Exploring Service Science - 10th International Conference, IESS 2020, Porto, Portugal, February 5-7, 2020, Proceedings IESS Maria Henriqueta Nóvoa, Monica Dragoicea, Niklas Kühl
2020	—	`ch.`	Grasping the Terminology: Smart Services, Smart Service Systems, and Cyber-Physical Systems. Smart Service Management Dominik Martin, Niklas Kühl, Maria Maleshkova
2020	—	`conf`	Half-Empty or Half-Full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime. IESS Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Hersløv
2020	J	`jnl`	Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime. CoRR Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Hersløv
2020	—	`conf`	Handling Concept Drift for Predictions in Business Process Mining. CBI (1) Lucas Baier, Josua Reimold, Niklas Kühl
2020	J	`jnl`	Handling Concept Drift for Predictions in Business Process Mining. CoRR Lucas Baier, Josua Reimold, Niklas Kühl
2020	—	`conf`	Handling Concept Drifts in Regression Problems - the Error Intersection Approach. Wirtschaftsinformatik (Zentrale Tracks) Lucas Baier, Niklas Kühl, Gerhard Satzger, Marcel Hofmann, Marisa Mohr
2020	J	`jnl`	Handling Concept Drifts in Regression Problems - the Error Intersection Approach. CoRR Lucas Baier, Marcel Hofmann, Niklas Kühl, Marisa Mohr, Gerhard Satzger
2020	—	`conf`	How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting. CBI (1) Robin Hirt, Niklas Kühl, Yusuf Peker, Gerhard Satzger
2020	J	`jnl`	How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting. CoRR Robin Hirt, Niklas Kühl, Yusuf Peker, Gerhard Satzger
2020	J	`jnl`	Human vs. supervised machine learning: Who learns patterns faster? CoRR Niklas Kühl, Marc Goutier, Lucas Baier, Clemens Wolff, Dominik Martin
2020	—	`ch.`	Industrial Maintenance in the Digital World. Smart Service Management Michael Vössing, Niklas Kühl
2020	—	`ch.`	Introduction to Smart Service Management. Smart Service Management Maria Maleshkova, Niklas Kühl, Philipp Jussen
2020	—	`ch.`	Introduction to Smart Service Use Cases. Smart Service Management Maria Maleshkova, Niklas Kühl, Philipp Jussen
2020	—	`conf`	Introduction to the Minitrack on Optimization of and the Use of IT for Healthcare Processes. HICSS Niklas Kühl, Cameron G. Walker, Melanie Reuter-Oppermann
2020	—	`conf`	Introduction to the Minitrack on Service Analytics. HICSS Niklas Kühl, Hansjörg Fromm, Gerhard Satzger, Thomas Setzer
2020	J	`jnl`	Machine Learning in Artificial Intelligence: Towards a Common Understanding. CoRR Niklas Kühl, Marc Goutier, Robin Hirt, Gerhard Satzger
2020	J	`jnl`	Needmining: Identifying micro blog data containing customer needs. CoRR Niklas Kühl, Jan Scheurenbrand, Gerhard Satzger
2020	J	`jnl`	Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability. CoRR Robin Hirt, Akash Srivastava, Carlos Berg, Niklas Kühl
2020	—	`ch.`	Service Analytics: Putting the "Smart" in Smart Services. Smart Service Management Niklas Kühl, Hansjörg Fromm, Jakob Schöffer, Gerhard Satzger
2020	—	`book`	Smart Service Management - Design Guidelines and Best Practices Smart Service Management Maria Maleshkova, Niklas Kühl, Philipp Jussen
2020	—	`ch.`	Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses. Smart Service Management Dominik Martin, Niklas Kühl, Johannes Kunze von Bischhoffshausen
2020	J	`jnl`	Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media. Electron. Mark. Niklas Kühl, Marius Mühlthaler, Marc Goutier
2020	J	`jnl`	Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets. CoRR Lucas Baier, Vincent Kellner, Niklas Kühl, Gerhard Satzger
2020	—	`conf`	System-Wide Learning in Cyber-Physical Service Systems: A Research Agenda. DESRIST Dominik Martin, Niklas Kühl, Johannes Kunze von Bischhoffshausen, Gerhard Satzger
2020	—	`conf`	Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry. HICSS Jannis Walk, Niklas Kühl, Jonathan Schäfer
2020	J	`jnl`	Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry. CoRR Jannis Walk, Niklas Kühl, Jonathan Schäfer
2020	C	`conf`	Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19. ICIS Lucas Baier, Jakob Schöffer, Niklas Kühl
2020	J	`jnl`	Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic. CoRR Lucas Baier, Niklas Kühl, Jakob Schöffer, Gerhard Satzger
2019	C	`conf`	Analyzing the Impact of Strategic Behavior in System-Oriented Service Delivery. ICIS Clemens Wolff, Steven Kimbrough, Niklas Kühl
2019	—	`conf`	Automatically Extracting and Analyzing Customer Needs from Twitter: A "Needmining" Prototype. Wirtschaftsinformatik Niklas Kühl, Dominik Martin, Gerhard Satzger
2019	J	`jnl`	Cognitive computing for customer profiling: meta classification for gender prediction. Electron. Mark. Robin Hirt, Niklas Kühl, Gerhard Satzger
2019	—	`conf`	Designing Useful Transparency to Improve Process Performance - Evidence from an Automated production Line. ECIS Michael Vössing, Felix Potthoff, Niklas Kühl, Gerhard Satzger
2019	—	`conf`	Holistic System-Analytics as an Alternative to Isolated Sensor Technology: A Condition Monitoring Use Case. HICSS Dominik Martin, Niklas Kühl
2019	—	`conf`	How to Cope with Change? - Preserving Validity of Predictive Services over Time. HICSS Lucas Baier, Niklas Kühl, Gerhard Satzger
2019	—	`conf`	Machine Learning in Artificial Intelligence: Towards a Common Understanding. HICSS Niklas Kühl, Marc Goutier, Robin Hirt, Gerhard Satzger
2019	—	`conf`	On the Impact of the Customer Base on the Added Value through System-Oriented Service Delivery in Industrial Maintenance. HICSS Clemens Wolff, Melanie Reuter-Oppermann, Niklas Kühl
2019	—	`conf`	Service Systems, Smart Service Systems and Cyber- Physical Systems - What's the difference? Towards a Unified Terminology. Wirtschaftsinformatik Dominik Martin, Robin Hirt, Niklas Kühl
2018	—	`conf`	Automatically Quantifying Customer Need Tweets: Towards a Supervised Machine Learning Approach. HICSS Niklas Kühl, Marius Mühlthaler, Marc Goutier
2018	C	`conf`	Cognition in the Era of Smart Service Systems: Inter-organizational Analytics through Meta and Transfer Learning. ICIS Robin Hirt, Niklas Kühl
2018	C	`conf`	Comfort-as-a-Service: Designing a User-Oriented Thermal Comfort Artifact for Office Buildings. ICIS Svenja Laing, Niklas Kühl
2018	—	`ed.`	Exploring Service Science - 9th International Conference, IESS 2018, Karlsruhe, Germany, September 19-21, 2018, Proceedings IESS Gerhard Satzger, Lia Patrício, Mohamed Zaki, Niklas Kühl, Peter Hottum
2018	—	`conf`	Service-Oriented Cognitive Analytics for Smart Service Systems: A Research Agenda. HICSS Robin Hirt, Niklas Kühl, Björn Schmitz, Gerhard Satzger
2018	Misc	`conf`	Using Monte-Carlo simulation to Measure the Business-Relevant Impact of Planning uncertainty on field Service Delivery. WSC Clemens Wolff, Michael Vössing, Niklas Kühl
2017	—	`conf`	Abbildung kognitiver Fähigkeiten mit Metamodellen. GI-Jahrestagung Robin Hirt, Niklas Kühl
2017	—	`—`	Needmining: automated analytical support for customer need elicitation. Niklas Kühl
2016	—	`conf`	"Need tweets": new insights about customer needs from micro blog data in the field of E-mobility. GI-Jahrestagung Niklas Kühl, Marc Goutier
2016	—	`conf`	"Needs from Tweets": Towards Deriving Customer Needs From Micro Blog Data (Extended Abstract). MKWI Niklas Kühl, Jan Scheurenbrand, Gerhard Satzger
2016	—	`conf`	Needmining: Evaluating a Whitelist-Based Assignment Method to Quantify Customer Needs from Micro Blog Data. OR Niklas Kühl, Marc Goutier
2016	—	`conf`	Needmining: identifying micro Blog Data containing Customer Needs. ECIS Niklas Kühl, Jan Scheurenbrand, Gerhard Satzger
2016	—	`conf`	Programming for refugees - an active learning approach for teaching Java to heterogeneous groups. GI-Jahrestagung Niklas Kühl, Jonas Lehner
2016	—	`conf`	Towards Extracting Customer Needs from Incident Tickets in IT Services. CBI (1) Lena Eckstein, Niklas Kühl, Gerhard Satzger