Niklas Kühl

ORCID

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 122

Top Venues

Karlsruhe Institute of Technology, Germany (PHD)

Education History

Karlsruhe Institute of Technology, Germany

PHD

Publications

Dominik Kreuzberger, Niklas Kühl, Sebastian Hirschl
Machine Learning Operations (MLOps): Overview, Definition, and Architecture. IEEE Access 11 (2023)
Philipp Spitzer, Joshua Holstein, Michael Vössing, Niklas Kühl
On the Perception of Difficulty: Differences between Human and AI. AutomationXP@CHI (2023)
Lars Radtke, Georgios Bletsos, Niklas Kühl, Tim Suchan, Thomas Rung, Alexander Düster, Kathrin Welker
Parameter-free shape optimization: various shape updates for engineering applications. CoRR (2023)
Max Schemmer, Joshua Holstein, Niklas Bauer, Niklas Kühl, Gerhard Satzger
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series. CoRR (2023)
Marco Geiger, Dominik Martin, Niklas Kühl
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images. HICSS (2023)
Jan Bode, Niklas Kühl, Dominik Kreuzberger, Sebastian Hirschl
Data Mesh: Motivational Factors, Challenges, and Best Practices. CoRR (2023)
Robin Hirt, Niklas Kühl, Dominik Martin, Gerhard Satzger
Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning. CoRR (2023)
Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. CoRR (2023)
Philipp Spitzer, Niklas Kühl, Daniel Heinz, Gerhard Satzger
ML-Based Teaching Systems: A Conceptual Framework. CoRR (2023)
Niklas Kühl, Hendrik Fischer, Michael Hinze, Thomas Rung
An Incremental Singular Value Decomposition Approach for Large-Scale Spatially Parallel & Distributed but Temporally Serial Data - Applied to Technical Flows. CoRR (2023)
Hansjörg Fromm, Niklas Kühl, Gerhard Satzger, Thomas Setzer
Introduction to the Minitrack on Service Analytics. HICSS (2023)
Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl
Learning to Defer with Limited Expert Predictions. CoRR (2023)
Lucas Baier, Tim Schlör, Jakob Schoeffer, Niklas Kühl
Detecting Concept Drift with Neural Network Model Uncertainty. HICSS (2023)
Jannis Walk, Niklas Kühl, Michael Saidani, Jürgen Schatte
Artificial Intelligence for Sustainability: Facilitating Sustainable Smart Product-Service Systems with Computer Vision. CoRR (2023)
Franziska Haller, Max Schemmer, Niklas Kühl, Carsten Holtmann
Conceptualizing A Multi-Sided Platform For Cloud Computing Resource Trading. CoRR (2023)
Philipp Spitzer, Joshua Holstein, Michael Vössing, Niklas Kühl
On the Perception of Difficulty: Differences between Humans and AI. CoRR (2023)
Max Schemmer, Niklas Kühl, Carina Benz, Andrea Bartos, Gerhard Satzger
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations. CoRR (2023)
Dominik Martin, Simon Heinzel, Johannes Kunze von Bischhoffshausen, Niklas Kühl
Deep Learning Strategies for Industrial Surface Defect Detection Systems. HICSS (2022)
Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas Kühl
Factors that influence the adoption of human-AI collaboration in clinical decision-making. CoRR (2022)
Max Schemmer, Niklas Kühl, Gerhard Satzger
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Workers Through Explainable Artificial Intelligence. HICSS (2022)
Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Kühl, Michael Vössing
A Meta-Analysis on the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making. CoRR (2022)
Martin Maritsch, Kevin Koch, Hauke Thomsen, Niklas Kühl, Matthias Pfäffli, Wolfgang Weinmann, Felix Wortmann
Driver state prediction from vehicle signals: An evaluation of segmentation approaches. ITSC (2022)
Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. CoRR (2022)
Max Schemmer, Patrick Hemmer, Niklas Kühl, Carina Benz, Gerhard Satzger
Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making. CoRR (2022)
Philipp Spitzer, Niklas Kühl, Marc Goutier
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer. CoRR (2022)
Thi Thu Hang Do, Markus Dobler, Niklas Kühl
What to prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development. HICSS (2022)
Max Schemmer, Niklas Kühl, Carina Benz, Gerhard Satzger
On the Influence of Explainable AI on Automation Bias. CoRR (2022)
Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. PKDD/ECML Workshops (1) (2022)
Dominik Kreuzberger, Niklas Kühl, Sebastian Hirschl
Machine Learning Operations (MLOps): Overview, Definition, and Architecture. CoRR (2022)
Niklas Kühl, Marc Goutier, Lucas Baier, Clemens Wolff, Dominik Martin
Human vs. supervised machine learning: Who learns patterns faster? Cogn. Syst. Res. 76 (2022)
Patrick Hemmer, Niklas Kühl, Jakob Schoeffer
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry. HICSS (2022)
Niklas Kühl, Thomas Rung
Discrete Adjoint Momentum-Weighted Interpolation Strategies. CoRR (2022)
Niklas Kühl, Max Schemmer, Marc Goutier, Gerhard Satzger
Artificial intelligence and machine learning. Electron. Mark. 32 (4) (2022)
Niklas Kühl, Thomas Rung
Discrete adjoint momentum-weighted interpolation strategies. J. Comput. Phys. 467 (2022)
Jakob Schoeffer, Yvette Machowski, Niklas Kühl
Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making. HICSS (2022)
Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Kühl, Michael Vössing
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making. AIES (2022)
Enrico Bunde, Niklas Kühl, Christian Meske
Fake or Credible? Towards Designing Services to Support Users' Credibility Assessment of News Content. HICSS (2022)
Julius Peter Landwehr, Niklas Kühl, Jannis Walk, Mario Gnädig
Design Knowledge for Deep-Learning-Enabled Image-Based Decision Support Systems. Bus. Inf. Syst. Eng. 64 (6) (2022)
Hansjörg Fromm, Gerhard Satzger, Niklas Kühl, Thomas Setzer
Introduction to the Minitrack on Service Analytics. HICSS (2022)
Marco Geiger, Dominik Martin, Niklas Kühl
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images. CoRR (2022)
Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger
On the Effect of Information Asymmetry in Human-AI Teams. CoRR (2022)
Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger
Data-centric Artificial Intelligence. CoRR (2022)
Michael Vössing, Niklas Kühl, Matteo Lind, Gerhard Satzger
Designing Transparency for Effective Human-AI Collaboration. Inf. Syst. Frontiers 24 (3) (2022)
Dominik Martin, Niklas Kühl, Gerhard Satzger
Virtual Sensors. Bus. Inf. Syst. Eng. 63 (3) (2021)
Peter Marvin Müller, Niklas Kühl, Martin Siebenborn, Klaus Deckelnick, Michael Hinze, Thomas Rung
A Novel $p$-Harmonic Descent Approach Applied to Fluid Dynamic Shape Optimization. CoRR (2021)
Enrico Bunde, Niklas Kühl, Christian Meske
Fake or Credible? Towards Designing Services to Support Users' Credibility Assessment of News Content. CoRR (2021)
Niklas Kühl, Robin Hirt, Lucas Baier, Björn Schmitz, Gerhard Satzger
How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card. Commun. Assoc. Inf. Syst. 48 (2021)
Lucas Baier, Vincent Kellner, Niklas Kühl, Gerhard Satzger
Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets. HICSS (2021)
Robin Hirt, Akash Srivastava, Carlos Berg, Niklas Kühl
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability. HICSS (2021)
Max Schemmer, Niklas Kühl, Gerhard Satzger
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence. CoRR (2021)
Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. ECIS (2021)
Dominik Martin, Niklas Kühl, Marcel Schwenk
Towards a Reference Architecture for Future Industrial Internet of Things Networks. CBI (2) (2021)
Dominik Martin, Niklas Kühl, Marcel Schwenk
Towards a Reference Architecture for Future Industrial Internet of Things Networks. CoRR (2021)
Jakob Schöffer, Niklas Kühl, Isabel Valera
A Ranking Approach to Fair Classification. CoRR (2021)
Tobias Enders, Niklas Kühl, Jannis Walk, Marc Muff
Designing Chemical Emergency Response Systems Based on Open Data. HICSS (2021)
Thomas Setzer, Hansjörg Fromm, Niklas Kühl, Gerhard Satzger
Introduction to the Minitrack on Service Analytics. HICSS (2021)
Max Schemmer, Daniel Heinz, Lucas Baier, Michael Vössing, Niklas Kühl
Conceptualizing Digital Resilience for AI-based Information Systems. ECIS (2021)
Dominik Martin, Simon Heinzel, Johannes Kunze von Bischhoffshausen, Niklas Kühl
Deep Learning Strategies for Industrial Surface Defect Detection Systems. CoRR (2021)
Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. CoRR (2021)
Niklas Kühl, Dominik Martin, Clemens Wolff, Melanie Volkamer
"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics. HICSS (2021)
Niklas Kühl, Jörn Kröger, Martin Siebenborn, Michael Hinze, Thomas Rung
Adjoint complement to the volume-of-fluid method for immiscible flows. J. Comput. Phys. 440 (2021)
Thi Thu Hang Do, Markus Dobler, Niklas Kühl
What to Prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development. CoRR (2021)
Patrick Hemmer, Max Schemmer, Michael Vössing, Niklas Kühl
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review. PACIS (2021)
Lucas Baier, Niklas Kühl, Jörg Schmitt
Increasing Robustness for Machine Learning Services in Challenging Environments: Limited Resources and No Label Feedback. IntelliSys (1) (2021)
Niklas Kühl, Gerhard Satzger
Needmining: Designing Digital Support to Elicit Needs from Social Media. CoRR (2021)
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry. CoRR (2021)
Christoph Sager, Patrick Zschech, Niklas Kühl
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds. CoRR (2021)
Lucas Baier, Tim Schlör, Jakob Schöffer, Niklas Kühl
Detecting Concept Drift With Neural Network Model Uncertainty. CoRR (2021)
Lucia Schuler, Somaya Jamil, Niklas Kühl
AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments. CCGRID (2021)
Niklas Kühl, Hansjörg Fromm, Gerhard Satzger, Thomas Setzer
Introduction to the Minitrack on Service Analytics. HICSS (2020)
Lucas Baier, Jakob Schöffer, Niklas Kühl
Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19. ICIS (2020)
Alexander Treiss, Jannis Walk, Niklas Kühl
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis. CoRR (2020)
Lucas Baier, Niklas Kühl, Gerhard Satzger, Marcel Hofmann, Marisa Mohr
Handling Concept Drifts in Regression Problems - the Error Intersection Approach. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Dominik Martin, Niklas Kühl, Johannes Kunze von Bischhoffshausen, Gerhard Satzger
System-Wide Learning in Cyber-Physical Service Systems: A Research Agenda. DESRIST (2020)
Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Hersløv
Half-Empty or Half-Full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime. IESS (2020)
Jannis Walk, Niklas Kühl, Jonathan Schäfer
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry. CoRR (2020)
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
DEAL: Deep Evidential Active Learning for Image Classification. CoRR (2020)
Robin Hirt, Akash Srivastava, Carlos Berg, Niklas Kühl
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability. CoRR (2020)
Lucas Baier, Josua Reimold, Niklas Kühl
Handling Concept Drift for Predictions in Business Process Mining. CoRR (2020)
Svenja Laing, Niklas Kühl
Comfort-as-a-Service: Designing a User-Oriented Thermal Comfort Artifact for Office Buildings. CoRR (2020)
Lucas Baier, Vincent Kellner, Niklas Kühl, Gerhard Satzger
Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets. CoRR (2020)
Niklas Kühl, Marc Goutier, Robin Hirt, Gerhard Satzger
Machine Learning in Artificial Intelligence: Towards a Common Understanding. CoRR (2020)
Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Hersløv
Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime. CoRR (2020)
Lucas Baier, Marcel Hofmann, Niklas Kühl, Marisa Mohr, Gerhard Satzger
Handling Concept Drifts in Regression Problems - the Error Intersection Approach. CoRR (2020)
Lucas Baier, Josua Reimold, Niklas Kühl
Handling Concept Drift for Predictions in Business Process Mining. CBI (1) (2020)
Niklas Kühl, Cameron G. Walker, Melanie Reuter-Oppermann
Introduction to the Minitrack on Optimization of and the Use of IT for Healthcare Processes. HICSS (2020)
Niklas Kühl, Dominik Martin, Clemens Wolff, Melanie Volkamer
"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics. CoRR (2020)
Dominik Martin, Philipp Spitzer, Niklas Kühl
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs. CoRR (2020)
Lucas Baier, Niklas Kühl, Jakob Schöffer, Gerhard Satzger
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic. CoRR (2020)
Tristan Karb, Niklas Kühl, Robin Hirt, Varvara Glivici-Cotruta
A network-based transfer learning approach to improve sales forecasting of new products. CoRR (2020)
Niklas Kühl, Marc Goutier, Lucas Baier, Clemens Wolff, Dominik Martin
Human vs. supervised machine learning: Who learns patterns faster? CoRR (2020)
Patrick Hemmer, Niklas Kühl, Jakob Schöffer
DEAL: Deep Evidential Active Learning for Image Classification. ICMLA (2020)
Lucia Schuler, Somaya Jamil, Niklas Kühl
AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments. CoRR (2020)
Alexander Treiss, Jannis Walk, Niklas Kühl
An Uncertainty-Based Human-in-the-Loop System for Industrial Tool Wear Analysis. ECML/PKDD (5) (2020)
Niklas Kühl, Marius Mühlthaler, Marc Goutier
Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media. Electron. Mark. 30 (2) (2020)
Jannis Walk, Niklas Kühl, Jonathan Schäfer
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry. HICSS (2020)
Niklas Kühl, Jodie Lobana, Christian Meske
Do you comply with AI? - Personalized explanations of learning algorithms and their impact on employees' compliance behavior. CoRR (2020)
Niklas Kühl, Michael Hinze, Thomas Rung
Cahn-Hilliard Navier-Stokes Simulations for Marine Free-Surface Flows. CoRR (2020)
Clemens Wolff, Niklas Kühl, Gerhard Satzger
Engineering Industrial Service Systems: Design and Evaluation of System-Oriented Service Delivery. DESRIST (2020)
Tristan Karb, Niklas Kühl, Robin Hirt, Varvara Glivici-Cotruta
A Network-based Transfer Learning Approach to Improve Sales Forecasting of New Products. ECIS (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Niklas Kühl