Niklas Kühl

Orcid: 0000-0001-6750-0876

Affiliations:
  • University of Bayreuth, Germany
  • Karlsruhe Institute of Technology, Germany


According to our database1, Niklas Kühl authored at least 104 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness.
CoRR, 2024

CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI.
CoRR, 2024

On the Effect of Contextual Information on Human Delegation Behavior in Human-AI collaboration.
CoRR, 2024

Introduction to the Minitrack on Service Analytics.
Proceedings of the 57th Hawaii International Conference on System Sciences, 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
ML-Based Teaching Systems: A Conceptual Framework.
Proc. ACM Hum. Comput. Interact., 2023

Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation.
CoRR, 2023

A Critical Survey on Fairness Benefits of XAI.
CoRR, 2023

Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice.
CoRR, 2023

AB2CD: AI for Building Climate Damage Classification and Detection.
CoRR, 2023

The Impact of Imperfect XAI on Human-AI Decision-Making.
CoRR, 2023

On the Perception of Difficulty: Differences between Humans and AI.
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

Data Mesh: Motivational Factors, Challenges, and Best Practices.
CoRR, 2023

Machine Learning Operations (MLOps): Overview, Definition, and Architecture.
IEEE Access, 2023

Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations.
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

Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Introduction to the Minitrack on Service Analytics.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Detecting Concept Drift with Neural Network Model Uncertainty.
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

Conceptualizing a Multi-Sided Platform for Cloud Computing Resource Trading.
Proceedings of the 31st European Conference on Information Systems, 2023

On the Perception of Difficulty: Differences between Human and AI.
Proceedings of the Workshop on Intervening, 2023

Learning to Defer with Limited Expert Predictions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Artificial intelligence and machine learning.
Electron. Mark., December, 2022

Designing Transparency for Effective Human-AI Collaboration.
Inf. Syst. Frontiers, 2022

Data-centric Artificial Intelligence.
CoRR, 2022

On Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making.
CoRR, 2022

Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer.
CoRR, 2022

On the Effect of Information Asymmetry in Human-AI Teams.
CoRR, 2022

On the Relationship Between Explanations, Fairness Perceptions, and Decisions.
CoRR, 2022

Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making.
CoRR, 2022

Human vs. supervised machine learning: Who learns patterns faster?
Cogn. Syst. Res., 2022

Design Knowledge for Deep-Learning-Enabled Image-Based Decision Support Systems.
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

Deep Learning Strategies for Industrial Surface Defect Detection Systems.
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

"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

On the Influence of Explainable AI on Automation Bias.
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

Needmining: Designing Digital Support to Elicit Needs from Social Media.
CoRR, 2021

How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card.
Commun. Assoc. Inf. Syst., 2021

Virtual Sensors.
Bus. Inf. Syst. Eng., 2021

Towards a Reference Architecture for Future Industrial Internet of Things Networks.
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

A Study on Fairness and Trust Perceptions in Automated Decision Making.
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

Designing Chemical Emergency Response Systems Based on Open Data.
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

Conceptualizing Digital Resilience for AI-based Information Systems.
Proceedings of the 29th European Conference on Information Systems, 2021

A Ranking Approach to Fair Classification.
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

Handling Concept Drifts in Regression Problems - the Error Intersection Approach.
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

Handling Concept Drift for Predictions in Business Process Mining.
Proceedings of the 22nd IEEE Conference on Business Informatics, 2020

An Uncertainty-Based Human-in-the-Loop System for Industrial Tool Wear Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

DEAL: Deep Evidential Active Learning for Image Classification.
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

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

System-Wide Learning in Cyber-Physical Service Systems: A Research Agenda.
Proceedings of the Designing for Digital Transformation. Co-Creating Services with Citizens and Industry, 2020

Industrial Maintenance in the Digital World.
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

Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses.
Proceedings of the Smart Service Management - Design Guidelines and Best Practices, 2020

Introduction to Smart Service Use Cases.
Proceedings of the Smart Service Management - Design Guidelines and Best Practices, 2020

Introduction to Smart Service Management.
Proceedings of the Smart Service Management - Design Guidelines and Best Practices, 2020

Designing a Smart Service for Customer Need Identification in B2B Ticketing Systems.
Proceedings of the Smart Service Management - Design Guidelines and Best Practices, 2020

Service Analytics: Putting the "Smart" in Smart Services.
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

Analyzing the Impact of Strategic Behavior in System-Oriented Service Delivery.
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

Machine Learning in Artificial Intelligence: Towards a Common Understanding.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

How to Cope with Change? - Preserving Validity of Predictive Services over Time.
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

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

Service-Oriented Cognitive Analytics for Smart Service Systems: A Research Agenda.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2017
Needmining: automated analytical support for customer need elicitation.
PhD thesis, 2017

Abbildung kognitiver Fähigkeiten mit Metamodellen.
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017

2016
Towards Extracting Customer Needs from Incident Tickets in IT Services.
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

"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

Needmining: identifying micro Blog Data containing Customer Needs.
Proceedings of the 24th European Conference on Information Systems, 2016


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