Niklas Kühl
Orcid: 0000-0001-6750-0876Affiliations:
- University of Bayreuth, Germany
- Karlsruhe Institute of Technology, Germany
According to our database1,
Niklas Kühl
authored at least 129 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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Bibliography
2024
Proc. ACM Hum. Comput. Interact., 2024
Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration.
CoRR, 2024
Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle.
CoRR, 2024
CoRR, 2024
CoRR, 2024
On the Effect of Contextual Information on Human Delegation Behavior in Human-AI collaboration.
CoRR, 2024
Image-Mining-Based Decision Support Systems: Design Knowledge and its Evaluation in Tool Wear Analysis.
Commun. Assoc. Inf. Syst., 2024
IEEE Access, 2024
Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024
Proceedings of Mensch und Computer 2024, 2024
Looking Through the Deep Glasses: How Large Language Models Enhance Explainability of Deep Learning Models.
Proceedings of Mensch und Computer 2024, 2024
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024
Proceedings of the 32nd European Conference on Information Systems, 2024
Proceedings of the 32nd European Conference on Information Systems, 2024
Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics.
Proceedings of the 32nd European Conference on Information Systems, 2024
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proc. ACM Hum. Comput. Interact., 2023
Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation.
CoRR, 2023
Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning.
CoRR, 2023
Artificial Intelligence for Sustainability: Facilitating Sustainable Smart Product-Service Systems with Computer Vision.
CoRR, 2023
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series.
CoRR, 2023
IEEE Access, 2023
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice.
Proceedings of the 44th International Conference on Information Systems, 2023
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making.
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023
Proceedings of the 31st European Conference on Information Systems, 2023
Proceedings of the Workshop on Intervening, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Inf. Syst. Frontiers, 2022
CoRR, 2022
CoRR, 2022
Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making.
CoRR, 2022
Cogn. Syst. Res., 2022
Bus. Inf. Syst. Eng., 2022
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Driver state prediction from vehicle signals: An evaluation of segmentation approaches.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Workers Through Explainable Artificial Intelligence.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
What to prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Fake or Credible? Towards Designing Services to Support Users' Credibility Assessment of News Content.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Proceedings of the 30th European Conference on Information Systems, 2022
Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making.
Proceedings of the 30th European Conference on Information Systems, 2022
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022
2021
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence.
CoRR, 2021
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds.
CoRR, 2021
How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card.
Commun. Assoc. Inf. Syst., 2021
Proceedings of the 23rd Conference on Business Informatics, 2021
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021
Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021
Increasing Robustness for Machine Learning Services in Challenging Environments: Limited Resources and No Label Feedback.
Proceedings of the Intelligent Systems and Applications, 2021
"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems.
Proceedings of the 29th European Conference on Information Systems, 2021
Proceedings of the 29th European Conference on Information Systems, 2021
Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems.
Proceedings of the Companion Publication of the 2021 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2021
AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021
2020
Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media.
Electron. Mark., 2020
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic.
CoRR, 2020
Do you comply with AI? - Personalized explanations of learning algorithms and their impact on employees' compliance behavior.
CoRR, 2020
Proceedings of the Entwicklungen, 2020
How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting.
Proceedings of the 22nd IEEE Conference on Business Informatics, 2020
Proceedings of the 22nd IEEE Conference on Business Informatics, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19.
Proceedings of the 41st International Conference on Information Systems, 2020
Enabling System-Oriented Service Delivery in Industrial Maintenance: A Meta-method for Predicting Industrial Costs of Downtime.
Proceedings of the Exploring Service Science - 10th International Conference, 2020
Half-Empty or Half-Full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime.
Proceedings of the Exploring Service Science - 10th International Conference, 2020
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
Introduction to the Minitrack on Optimization of and the Use of IT for Healthcare Processes.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
A Network-based Transfer Learning Approach to Improve Sales Forecasting of New Products.
Proceedings of the 28th European Conference on Information Systems, 2020
Engineering Industrial Service Systems: Design and Evaluation of System-Oriented Service Delivery.
Proceedings of the Designing for Digital Transformation. Co-Creating Services with Citizens and Industry, 2020
Proceedings of the Designing for Digital Transformation. Co-Creating Services with Citizens and Industry, 2020
Proceedings of the Smart Service Management - Design Guidelines and Best Practices, 2020
Grasping the Terminology: Smart Services, Smart Service Systems, and Cyber-Physical Systems.
Proceedings of the Smart Service Management - Design Guidelines and Best Practices, 2020
Proceedings of the Smart Service Management - Design Guidelines and Best Practices, 2020
Proceedings of the Smart Service Management - Design Guidelines and Best Practices, 2020
Proceedings of the Smart Service Management - Design Guidelines and Best Practices, 2020
Proceedings of the Smart Service Management - Design Guidelines and Best Practices, 2020
Proceedings of the Smart Service Management - Design Guidelines and Best Practices, 2020
2019
Cognitive computing for customer profiling: meta classification for gender prediction.
Electron. Mark., 2019
Service Systems, Smart Service Systems and Cyber- Physical Systems - What's the difference? Towards a Unified Terminology.
Proceedings of the Human Practice. Digital Ecologies. Our Future. 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), 2019
Automatically Extracting and Analyzing Customer Needs from Twitter: A "Needmining" Prototype.
Proceedings of the Human Practice. Digital Ecologies. Our Future. 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), 2019
Proceedings of the 40th International Conference on Information Systems, 2019
On the Impact of the Customer Base on the Added Value through System-Oriented Service Delivery in Industrial Maintenance.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
Holistic System-Analytics as an Alternative to Isolated Sensor Technology: A Condition Monitoring Use Case.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
Designing Useful Transparency to Improve Process Performance - Evidence from an Automated production Line.
Proceedings of the 27th European Conference on Information Systems, 2019
2018
Using Monte-Carlo simulation to Measure the Business-Relevant Impact of Planning uncertainty on field Service Delivery.
Proceedings of the 2018 Winter Simulation Conference, 2018
Comfort-as-a-Service: Designing a User-Oriented Thermal Comfort Artifact for Office Buildings.
Proceedings of the International Conference on Information Systems, 2018
Cognition in the Era of Smart Service Systems: Inter-organizational Analytics through Meta and Transfer Learning.
Proceedings of the International Conference on Information Systems, 2018
Automatically Quantifying Customer Need Tweets: Towards a Supervised Machine Learning Approach.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018
2017
PhD thesis, 2017
Towards a Unified Approach to Identify Business Model Patterns: A Case of E-Mobility Services.
Proceedings of the Exploring Services Science - 8th International Conference, 2017
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017
2016
Proceedings of the 18th IEEE Conference on Business Informatics, 2016
Needmining: Evaluating a Whitelist-Based Assignment Method to Quantify Customer Needs from Micro Blog Data.
Proceedings of the Operations Research Proceedings 2016, Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Helmut Schmidt University Hamburg, Germany, August 30, 2016
"Needs from Tweets": Towards Deriving Customer Needs From Micro Blog Data (Extended Abstract).
Proceedings of the Multikonferenz Wirtschaftsinformatik, 2016
Programming for refugees - an active learning approach for teaching Java to heterogeneous groups.
Proceedings of the 46. Jahrestagung der Gesellschaft für Informatik, 2016
"Need tweets": new insights about customer needs from micro blog data in the field of E-mobility.
Proceedings of the 46. Jahrestagung der Gesellschaft für Informatik, 2016
Proceedings of the 24th European Conference on Information Systems, 2016