Needmining: identifying micro Blog Data containing Customer Needs. - Niklas Kühl 001; Jan Scheurenbrand; Gerhard Satzger (ECIS, 2016)

"Need tweets": new insights about customer needs from micro blog data in the field of E-mobility. - Niklas Kühl 001; Marc Goutier (GI-Jahrestagung, 2016)

Programming for refugees - an active learning approach for teaching Java to heterogeneous groups. - Niklas Kühl 001; Jonas Lehner (GI-Jahrestagung, 2016)

Needmining: Towards Analytical Support for Service Design. - Niklas Kuehl 001 (IESS, 2016)

"Needs from Tweets": Towards Deriving Customer Needs From Micro Blog Data (Extended Abstract). - Niklas Kühl 001; Jan Scheurenbrand; Gerhard Satzger (MKWI, 2016)

Needmining: Evaluating a Whitelist-Based Assignment Method to Quantify Customer Needs from Micro Blog Data. - Niklas Kühl 001; Marc Goutier (OR, 2016)

Towards Extracting Customer Needs from Incident Tickets in IT Services. - Lena Eckstein; Niklas Kühl 001; Gerhard Satzger (CBI (1), 2016)

Abbildung kognitiver Fähigkeiten mit Metamodellen. - Robin Hirt; Niklas Kühl 001 (GI-Jahrestagung, 2017)

Towards a Unified Approach to Identify Business Model Patterns: A Case of E-Mobility Services. - Fabian Hunke; Ronny Schüritz; Niklas Kuehl 001 (IESS, 2017)

Needmining: automated analytical support for customer need elicitation. - Niklas Kühl 001 (2017)

Service-Oriented Cognitive Analytics for Smart Service Systems: A Research Agenda. - Robin Hirt; Niklas Kühl 001; Björn Schmitz; Gerhard Satzger (HICSS, 2018)

Automatically Quantifying Customer Need Tweets: Towards a Supervised Machine Learning Approach. - Niklas Kühl 001; Marius Mühlthaler; Marc Goutier (HICSS, 2018)

Cognition in the Era of Smart Service Systems: Inter-organizational Analytics through Meta and Transfer Learning. - Robin Hirt; Niklas Kühl 001 (ICIS, 2018)

Comfort-as-a-Service: Designing a User-Oriented Thermal Comfort Artifact for Office Buildings. - Svenja Laing; Niklas Kühl 001 (ICIS, 2018)

Using Monte-Carlo simulation to Measure the Business-Relevant Impact of Planning uncertainty on field Service Delivery. - Clemens Wolff; Michael Vössing; Niklas Kühl 001 (WSC, 2018)

Designing Useful Transparency to Improve Process Performance - Evidence from an Automated production Line. - Michael Vössing; Felix Potthoff; Niklas Kühl 001; Gerhard Satzger (ECIS, 2019)

How to Cope with Change? - Preserving Validity of Predictive Services over Time. - Lucas Baier; Niklas Kühl 001; Gerhard Satzger (HICSS, 2019)

Machine Learning in Artificial Intelligence: Towards a Common Understanding. - Niklas Kühl 001; Marc Goutier; Robin Hirt; Gerhard Satzger (HICSS, 2019)

Holistic System-Analytics as an Alternative to Isolated Sensor Technology: A Condition Monitoring Use Case. - Dominik Martin; Niklas Kühl 001 (HICSS, 2019)

On the Impact of the Customer Base on the Added Value through System-Oriented Service Delivery in Industrial Maintenance. - Clemens Wolff; Melanie Reuter-Oppermann; Niklas Kühl 001 (HICSS, 2019)

Analyzing the Impact of Strategic Behavior in System-Oriented Service Delivery. - Clemens Wolff; Steven Kimbrough; Niklas Kühl 001 (ICIS, 2019)

Automatically Extracting and Analyzing Customer Needs from Twitter: A "Needmining" Prototype. - Niklas Kühl 001; Dominik Martin; Gerhard Satzger (Wirtschaftsinformatik, 2019)

Service Systems, Smart Service Systems and Cyber- Physical Systems - What's the difference? Towards a Unified Terminology. - Dominik Martin; Robin Hirt; Niklas Kühl 001 (Wirtschaftsinformatik, 2019)

Cognitive computing for customer profiling: meta classification for gender prediction. - Robin Hirt; Niklas Kühl 001; Gerhard Satzger (Electron. Mark., 2019)

Service Analytics: Putting the "Smart" in Smart Services. - Niklas Kühl 001; Hansjörg Fromm; Jakob Schöffer; Gerhard Satzger (Smart Service Management, 2020)

Designing a Smart Service for Customer Need Identification in B2B Ticketing Systems. - Lena Eckstein; Niklas Kühl 001; Gerhard Satzger (Smart Service Management, 2020)

Introduction to Smart Service Management. - Maria Maleshkova; Niklas Kühl 001; Philipp Jussen (Smart Service Management, 2020)

Introduction to Smart Service Use Cases. - Maria Maleshkova; Niklas Kühl 001; Philipp Jussen (Smart Service Management, 2020)

Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses. - Dominik Martin; Niklas Kühl 001; Johannes Kunze von Bischhoffshausen (Smart Service Management, 2020)

Grasping the Terminology: Smart Services, Smart Service Systems, and Cyber-Physical Systems. - Dominik Martin; Niklas Kühl 001; Maria Maleshkova (Smart Service Management, 2020)

Industrial Maintenance in the Digital World. - Michael Vössing; Niklas Kühl 001 (Smart Service Management, 2020)

System-Wide Learning in Cyber-Physical Service Systems: A Research Agenda. - Dominik Martin; Niklas Kühl 001; Johannes Kunze von Bischhoffshausen; Gerhard Satzger (DESRIST, 2020)

Engineering Industrial Service Systems: Design and Evaluation of System-Oriented Service Delivery. - Clemens Wolff; Niklas Kühl 001; Gerhard Satzger (DESRIST, 2020)

A Network-based Transfer Learning Approach to Improve Sales Forecasting of New Products. - Tristan Karb; Niklas Kühl 001; Robin Hirt; Varvara Glivici-Cotruta (ECIS, 2020)

Introduction to the Minitrack on Optimization of and the Use of IT for Healthcare Processes. - Niklas Kühl 001; Cameron G. Walker; Melanie Reuter-Oppermann (HICSS, 2020)

A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs. - Dominik Martin; Philipp Spitzer; Niklas Kühl 001 (HICSS, 2020)

Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry. - Jannis Walk; Niklas Kühl 001; Jonathan Schäfer (HICSS, 2020)

Half-Empty or Half-Full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime. - Jannis Walk; Robin Hirt; Niklas Kühl 001; Erik R. Hersløv (IESS, 2020)

Enabling System-Oriented Service Delivery in Industrial Maintenance: A Meta-method for Predicting Industrial Costs of Downtime. - Clemens Wolff; Niklas Kühl 001; Gerhard Satzger (IESS, 2020)

Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19. - Lucas Baier; Jakob Schöffer; Niklas Kühl 001 (ICIS, 2020)

DEAL: Deep Evidential Active Learning for Image Classification. - Patrick Hemmer; Niklas Kühl 001; Jakob Schöffer (ICMLA, 2020)

An Uncertainty-Based Human-in-the-Loop System for Industrial Tool Wear Analysis. - Alexander Treiss; Jannis Walk; Niklas Kühl 001 (ECML/PKDD (5), 2020)

Handling Concept Drift for Predictions in Business Process Mining. - Lucas Baier; Josua Reimold; Niklas Kühl 001 (CBI (1), 2020)

How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting. - Robin Hirt; Niklas Kühl 001; Yusuf Peker; Gerhard Satzger (CBI (1), 2020)

Handling Concept Drifts in Regression Problems - the Error Intersection Approach. - Lucas Baier; Niklas Kühl 001; Gerhard Satzger; Marcel Hofmann; Marisa Mohr (Wirtschaftsinformatik (Zentrale Tracks), 2020)

Do you comply with AI? - Personalized explanations of learning algorithms and their impact on employees' compliance behavior. - Niklas Kühl 001; Jodie Lobana; Christian Meske (CoRR, 2020)

Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic. - Lucas Baier; Niklas Kühl 001; Jakob Schöffer; Gerhard Satzger (CoRR, 2020)

Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media. - Niklas Kühl 001; Marius Mühlthaler; Marc Goutier (Electron. Mark., 2020)

AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments. - Lucia Schuler; Somaya Jamil; Niklas Kühl 001 (CCGRID, 2021)

Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems. - Jakob Schöffer; Niklas Kühl 001 (CSCW Companion, 2021)

A Ranking Approach to Fair Classification. - Jakob Schöffer; Niklas Kühl 001; Isabel Valera (COMPASS, 2021)

Conceptualizing Digital Resilience for AI-based Information Systems. - Max Schemmer; Daniel Heinz; Lucas Baier; Michael Vössing; Niklas Kühl 001 (ECIS, 2021)

A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. - Patrick Zschech; Jannis Walk; Kai Heinrich; Michael Vössing; Niklas Kühl 001 (ECIS, 2021)

Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets. - Lucas Baier; Vincent Kellner; Niklas Kühl 001; Gerhard Satzger (HICSS, 2021)

Designing Chemical Emergency Response Systems Based on Open Data. - Tobias Enders; Niklas Kühl 001; Jannis Walk; Marc Muff (HICSS, 2021)

Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability. - Robin Hirt; Akash Srivastava; Carlos Berg; Niklas Kühl 001 (HICSS, 2021)

"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics. - Niklas Kühl 001; Dominik Martin; Clemens Wolff; Melanie Volkamer (HICSS, 2021)

Increasing Robustness for Machine Learning Services in Challenging Environments: Limited Resources and No Label Feedback. - Lucas Baier; Niklas Kühl 001; Jörg Schmitt (IntelliSys (1), 2021)

A Study on Fairness and Trust Perceptions in Automated Decision Making. - Jakob Schöffer; Yvette Machowski; Niklas Kühl 001 (IUI Workshops, 2021)

Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review. - Patrick Hemmer; Max Schemmer; Michael Vössing; Niklas Kühl 001 (PACIS, 2021)

Towards a Reference Architecture for Future Industrial Internet of Things Networks. - Dominik Martin; Niklas Kühl 001; Marcel Schwenk (CBI (2), 2021)

Virtual Sensors. - Dominik Martin; Niklas Kühl 001; Gerhard Satzger (Bus. Inf. Syst. Eng., 2021)

How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card. - Niklas Kühl 001; Robin Hirt; Lucas Baier; Björn Schmitz; Gerhard Satzger (Commun. Assoc. Inf. Syst., 2021)

Needmining: Designing Digital Support to Elicit Needs from Social Media. - Niklas Kühl 001; Gerhard Satzger (CoRR, 2021)

labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds. - Christoph Sager; Patrick Zschech; Niklas Kühl 001 (CoRR, 2021)

Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence. - Max Schemmer; Niklas Kühl 001; Gerhard Satzger (CoRR, 2021)

A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making. - Max Schemmer; Patrick Hemmer; Maximilian Nitsche; Niklas Kühl 001; Michael Vössing (AIES, 2022)

Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making. - Patrick Hemmer; Max Schemmer; Lara Riefle; Nico Rosellen; Michael Vössing; Niklas Kühl 001 (ECIS, 2022)

On the Influence of Explainable AI on Automation Bias. - Max Schemmer; Niklas Kühl 001; Carina Benz; Gerhard Satzger (ECIS, 2022)

"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making. - Jakob Schoeffer; Niklas Kühl 001; Yvette Machowski (FAccT, 2022)

Fake or Credible? Towards Designing Services to Support Users' Credibility Assessment of News Content. - Enrico Bunde; Niklas Kühl 001; Christian Meske (HICSS, 2022)

What to prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development. - Thi Thu Hang Do; Markus Dobler; Niklas Kühl 001 (HICSS, 2022)

Introduction to the Minitrack on Service Analytics. - Hansjörg Fromm; Gerhard Satzger; Niklas Kühl 001; Thomas Setzer (HICSS, 2022)

Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry. - Patrick Hemmer; Niklas Kühl 001; Jakob Schoeffer (HICSS, 2022)

Deep Learning Strategies for Industrial Surface Defect Detection Systems. - Dominik Martin; Simon Heinzel; Johannes Kunze von Bischhoffshausen; Niklas Kühl 001 (HICSS, 2022)

Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Workers Through Explainable Artificial Intelligence. - Max Schemmer; Niklas Kühl 001; Gerhard Satzger (HICSS, 2022)

Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making. - Jakob Schoeffer; Yvette Machowski; Niklas Kühl 001 (HICSS, 2022)

Driver state prediction from vehicle signals: An evaluation of segmentation approaches. - Martin Maritsch; Kevin Koch 001; Hauke Thomsen; Niklas Kühl 001; Matthias Pfäffli; Wolfgang Weinmann; Felix Wortmann (ITSC, 2022)

An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. - Johannes Jakubik; Jakob Schöffer; Vincent Hoge; Michael Vössing; Niklas Kühl 001 (PKDD/ECML Workshops (1), 2022)

Design and Evaluation of an Anti-phishing Artifact Based on Useful Transparency. - Christopher Beckmann; Benjamin Berens; Niklas Kühl 001; Peter Mayer 001; Mattia Mossano; Melanie Volkamer (STAST, 2022)

Design Knowledge for Deep-Learning-Enabled Image-Based Decision Support Systems. - Julius Peter Landwehr; Niklas Kühl 001; Jannis Walk; Mario Gnädig (Bus. Inf. Syst. Eng., 2022)

The Cost of Fairness in AI: Evidence from E-Commerce. - Moritz von Zahn; Stefan Feuerriegel; Niklas Kuehl 001 (Bus. Inf. Syst. Eng., 2022)

Human vs. supervised machine learning: Who learns patterns faster? - Niklas Kühl 001; Marc Goutier; Lucas Baier; Clemens Wolff; Dominik Martin (Cogn. Syst. Res., 2022)

Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making. - Max Schemmer; Patrick Hemmer; Niklas Kühl 001; Carina Benz; Gerhard Satzger (CoRR, 2022)

On the Relationship Between Explanations, Fairness Perceptions, and Decisions. - Jakob Schoeffer; Maria De-Arteaga; Niklas Kühl 001 (CoRR, 2022)

On the Effect of Information Asymmetry in Human-AI Teams. - Patrick Hemmer; Max Schemmer; Niklas Kühl 001; Michael Vössing; Gerhard Satzger (CoRR, 2022)

Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer. - Philipp Spitzer; Niklas Kühl 001; Marc Goutier (CoRR, 2022)

Designing Transparency for Effective Human-AI Collaboration. - Michael Vössing; Niklas Kühl 001; Matteo Lind; Gerhard Satzger (Inf. Syst. Frontiers, 2022)

Artificial intelligence and machine learning. - Niklas Kühl 001; Max Schemmer; Marc Goutier; Gerhard Satzger (Electron. Mark., 2022)

Learning to Defer with Limited Expert Predictions. - Patrick Hemmer; Lukas Thede; Michael Vössing; Johannes Jakubik; Niklas Kühl 001 (AAAI, 2023)

On the Perception of Difficulty: Differences between Human and AI. - Philipp Spitzer; Joshua Holstein; Michael Vössing; Niklas Kühl 001 (AutomationXP@CHI, 2023)

Conceptualizing a Multi-Sided Platform for Cloud Computing Resource Trading. - Franziska Haller; Max Schemmer; Niklas Kühl 001; Carsten Holtmann (ECIS, 2023)

On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. - Jakob Schoeffer; Johannes Jakubik; Michael Vössing; Niklas Kühl 001; Gerhard Satzger (HHAI, 2023)

Detecting Concept Drift with Neural Network Model Uncertainty. - Lucas Baier; Tim Schlör; Jakob Schoeffer; Niklas Kühl 001 (HICSS, 2023)

Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images. - Marco Geiger; Dominik Martin; Niklas Kühl 001 (HICSS, 2023)

Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice. - Max Schemmer; Andrea Bartos; Philipp Spitzer; Patrick Hemmer; Niklas Kühl 001; Jonas Liebschner; Gerhard Satzger (ICIS, 2023)

Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. - Johannes Jakubik; Michal Muszynski; Michael Vössing; Niklas Kühl 001; Thomas Brunschwiler (IGARSS, 2023)

Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations. - Max Schemmer; Niklas Kühl 001; Carina Benz; Andrea Bartos; Gerhard Satzger (IUI, 2023)

Machine Learning Operations (MLOps): Overview, Definition, and Architecture. - Dominik Kreuzberger; Niklas Kühl 001; Sebastian Hirschl (IEEE Access, 2023)

Data Mesh: Motivational Factors, Challenges, and Best Practices. - Jan Bode; Niklas Kühl 001; Dominik Kreuzberger; Sebastian Hirschl (CoRR, 2023)

Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series. - Max Schemmer; Joshua Holstein; Niklas Bauer; Niklas Kühl 001; Gerhard Satzger (CoRR, 2023)

Artificial Intelligence for Sustainability: Facilitating Sustainable Smart Product-Service Systems with Computer Vision. - Jannis Walk; Niklas Kühl 001; Michael Saidani; Jürgen Schatte (CoRR, 2023)

On the Perception of Difficulty: Differences between Humans and AI. - Philipp Spitzer; Joshua Holstein; Michael Vössing; Niklas Kühl 001 (CoRR, 2023)

AB2CD: AI for Building Climate Damage Classification and Detection. - Maximilian Nitsche; S. Karthik Mukkavilli; Niklas Kühl 001; Thomas Brunschwiler (CoRR, 2023)

A Critical Survey on Fairness Benefits of XAI. - Luca Deck; Jakob Schoeffer; Maria De-Arteaga; Niklas Kühl 001 (CoRR, 2023)

Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation. - Simeon Allmendinger; Patrick Hemmer; Moritz Queisner; Igor M. Sauer; Leopold Müller; Johannes Jakubik; Michael Vössing; Niklas Kühl 001 (CoRR, 2023)

ML-Based Teaching Systems: A Conceptual Framework. - Philipp Spitzer; Niklas Kühl 001; Daniel Heinz; Gerhard Satzger (Proc. ACM Hum. Comput. Interact., 2023)

Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. - Leopold Müller; Patrick Hemmer; Moritz Queisner; Igor M. Sauer; Simeon Allmendinger; Johannes Jakubik; Michael Vössing; Niklas Kühl 001 (AAAI, 2024)

Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making. - Jakob Schoeffer; Maria De-Arteaga; Niklas Kühl 001 (CHI, 2024)

Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics. - Joshua Holstein; Philipp Spitzer; Marieke Hoell; Michael Vössing; Niklas Kühl 001 (ECIS, 2024)

Transferring Domain Knowledge with (X)AI-Based Learning Systems. - Philipp Spitzer; Niklas Kühl 001; Marc Goutier; Manuel Kaschura; Gerhard Satzger (ECIS, 2024)

Collafuse: Navigating Limited Resources and Privacy in Collaborative Generative AI. - Domenique Zipperling; Simeon Allmendinger; Lukas Struppek; Niklas Kühl 001 (ECIS, 2024)

Implications of the Ai Act for Non-discrimination Law and Algorithmic Fairness. - Luca Deck; Jan-Laurin Müller; Conradin Braun; Domenique Zipperling; Niklas Kühl 001 (EWAF, 2024)

Mapping the Potential of Explainable Artificial Intelligence (xai) for Fairness Along the Ai Lifecycle. - Luca Deck; Astrid Schomäcker; Timo Speith; Jakob Schöffer; Lena Kästner; Niklas Kühl 001 (EWAF, 2024)

A Critical Survey on Fairness Benefits of Explainable AI. - Luca Deck; Jakob Schoeffer; Maria De-Arteaga; Niklas Kühl 001 (FAccT, 2024)

Introduction to the Minitrack on Service Analytics. - Niklas Kühl 001; Thomas Setzer; Hansjörg Fromm; Michael Vössing (HICSS, 2024)

Looking Through the Deep Glasses: How Large Language Models Enhance Explainability of Deep Learning Models. - Philipp Spitzer; Sebastian Celis; Dominik Martin; Niklas Kühl 001; Gerhard Satzger (MuC, 2024)

(X)AI as a Teacher: Learning with Explainable Artificial Intelligence. - Philipp Spitzer; Marc Goutier; Niklas Kühl 001; Gerhard Satzger (MuC, 2024)

Interactive Generation of Laparoscopic Videos with Diffusion Models. - Ivan Iliash; Simeon Allmendinger; Felix Meissen; Niklas Kühl 001; Daniel Rückert (DGM4MICCAI@MICCAI, 2024)

A Multivocal Literature Review on Privacy and Fairness in Federated Learning. - Beatrice Balbierer; Lukas Heinlein; Domenique Zipperling; Niklas Kühl 001 (Wirtschaftsinformatik, 2024)

Toward Avoiding the Data Mess: Industry Insights From Data Mesh Implementations. - Jan Bode; Niklas Kühl 001; Dominik Kreuzberger; Carsten Holtmann (IEEE Access, 2024)

Image-Mining-Based Decision Support Systems: Design Knowledge and its Evaluation in Tool Wear Analysis. - Jannis Walk; Max Schemmer; Niklas Kühl 001; Gerhard Satzger (Commun. Assoc. Inf. Syst., 2024)

On the Effect of Contextual Information on Human Delegation Behavior in Human-AI collaboration. - Philipp Spitzer; Joshua Holstein; Patrick Hemmer; Michael Vössing; Niklas Kühl 001; Dominik Martin; Gerhard Satzger (CoRR, 2024)

Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence. - Patrick Hemmer; Max Schemmer; Niklas Kühl 001; Michael Vössing; Gerhard Satzger (CoRR, 2024)

Investigating the Role of Explainability and AI Literacy in User Compliance. - Niklas Kühl 001; Christian Meske; Maximilian Nitsche; Jodie Lobana (CoRR, 2024)

CollaFuse: Collaborative Diffusion Models. - Simeon Allmendinger; Domenique Zipperling; Lukas Struppek; Niklas Kühl 001 (CoRR, 2024)

A Survey of AI Reliance. - Sven Eckhardt; Niklas Kühl 001; Mateusz Dolata; Gerhard Schwabe (CoRR, 2024)

Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets. - Lars Böcking; Leopold Müller; Niklas Kühl 001 (CoRR, 2024)

Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration. - Philipp Spitzer; Joshua Holstein; Katelyn Morrison; Kenneth Holstein; Gerhard Satzger; Niklas Kühl 001 (CoRR, 2024)

The Impact of Imperfect XAI on Human-AI Decision-Making. - Katelyn Morrison; Philipp Spitzer; Violet Turri; Michelle Feng; Niklas Kühl 001; Adam Perer (Proc. ACM Hum. Comput. Interact., 2024)

Data-Centric Artificial Intelligence. - Johannes Jakubik; Michael Vössing; Niklas Kühl 001; Jannis Walk; Gerhard Satzger (Bus. Inf. Syst. Eng., 2024)

Towards Human-Understandable Multi-Dimensional Concept Discovery. - Arne Grobrügge; Niklas Kühl 001; Gerhard Satzger; Philipp Spitzer (CVPR, 2025)

It's only fair when I think it's fair: How Gender Bias Alignment Undermines Distributive Fairness in Human-AI Collaboration. - Domenique Zipperling; Luca Deck; Julia Lanzl; Niklas Kühl 001 (FAccT, 2025)

Data-Centric Fine-Tuning of Small Language Models for Automatic Extraction of Technical Requirements. - Leopold Müller; Nina Schwarz; Lars Böcking; Andreas Bereczuk; Hanno Stagge; Wolfgang Kratsch; Niklas Kühl 001 (IEEE Access, 2025)

AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions. - Jakob Schöffer; Johannes Jakubik; Michael Vössing; Niklas Kühl 001; Gerhard Satzger (J. Artif. Intell. Res., 2025)

Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information. - Philipp Spitzer; Joshua Holstein; Patrick Hemmer; Michael Vössing; Niklas Kühl 001; Dominik Martin; Gerhard Satzger (Proc. ACM Hum. Comput. Interact., 2025)

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning. - Philipp Spitzer; Dominik Martin; Laurin Eichberger; Niklas Kühl 001 (CoRR, 2025)

Human Preferences in Large Language Model Latent Space: A Technical Analysis on the Reliability of Synthetic Data in Voting Outcome Prediction. - Sarah Ball; Simeon Allmendinger; Frauke Kreuter; Niklas Kühl 001 (CoRR, 2025)

Enabling inter-organizational analytics in business networks through meta machine learning. - Robin Hirt; Niklas Kühl 001; Dominik Martin; Gerhard Satzger (Inf. Technol. Manag., 2025)

Beware of "Explanations" of AI. - David Martens; Galit Shmueli; Theodoros Evgeniou; Kevin Bauer; Christian Janiesch; Stefan Feuerriegel; Sebastian Gabel; Sofie Goethals; Travis Greene; Nadja Klein; Mathias Kraus; Niklas Kühl 001; et al. (CoRR, 2025)

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability. - Daniel Hendriks; Philipp Spitzer; Niklas Kühl 001; Gerhard Satzger (CoRR, 2025)

The EU AI Act, Stakeholder Needs, and Explainable AI: Aligning Regulatory Compliance in a Clinical Decision Support System. - Anton Hummel; Håkan Burden; Susanne Stenberg; Jan-Philipp Steghöfer; Niklas Kühl 001 (CoRR, 2025)

Deepfakes in Criminal Investigations: Interdisciplinary Research Directions for CMC Research. - Lorenz Meinen; Astrid Schomäcker; Stefanie Wiedemann; Markus Hartmann; Timo Speith; Lena Kästner; Niklas Kühl 001; Christian Rückert (CoRR, 2025)

A Multi-Level Strategy for Deepfake Content Moderation under EU Regulation. - Max-Paul Förster; Luca Deck; Raimund Weidlich; Niklas Kühl 001 (CoRR, 2025)

Do Edges Matter? Investigating Edge-Enhanced Pre-Training for Medical Image Segmentation. - Paul Zaha; Lars Böcking; Simeon Allmendinger; Leopold Müller; Niklas Kühl 001 (CoRR, 2025)