Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information CSCW 2025, 2025 | Philipp Spitzer, Joshua Holstein, Patrick Hemmer, Michael Vössing, Niklas Kühl, Dominik Martin, Gerhard Satzger | Eref |
Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS), 2025 | Lars Böcking, Leopold Müller, Niklas Kühl | Eref Veröffentlichung |
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions Journal of Artificial Intelligence Research, 2024 | Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger | Eref |
Mapping the Potential of Explainable Artificial Intelligence (XAI) for Fairness Along the AI Lifecycle Third European Workshop on Algorithmic Fairness (EWAF'24), 2024 | Luca Deck, Astrid Schomäcker, Timo Speith, Jakob Schöffer, Lena Kästner, Niklas Kühl | Eref Veröffentlichung |
Transferring Domain Knowledge with (X)AI-Based Learning Systems 32nd European Conference on Information Systems (ECIS), 2024 | Philipp Spitzer, Niklas Kühl, Marc Goutier, Manuel Kaschura, Gerhard Satzger | Eref |
Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics 32nd European Conference on Information Systems (ECIS), 2024 | Joshua Holstein, Philipp Spitzer, Marieke Hoell, Michael Vössing, Niklas Kühl | Eref |
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making ACM CHI Conference on Human Factors in Computing Systems (CHI '24), 2024 | Jakob Schöffer, Maria De-Arteaga, Niklas Kühl | Eref |
(Generative) AI Competencies for Future-Proof Graduates: Inspiration for Higher Education Institutions Hohenheim Discussion Papers in Business, Economics and Social Sciences, 2024 | Henner Gimpel, Niklas Gutheil, Valentin Mayer, Matthias Bandtel, Marion Büttgen, Stefan Decker, Torsten Eymann, Simon Feulner, Muhammed Fatih Kaya, Marie Kufner, Niklas Kühl, Luis Lämmermann, Alexander Mädche, Caroline Ruiner, Mareike Schoop, Nils Urbach | Eref Veröffentlichung |
Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages The 38th Annual AAAI Conference on Artificial Intelligence, 2024 | Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl | Eref |
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI The 32nd European Conference on Information Systems (ECIS), 2024 | Domenique Zipperling, Simeon Allmendinger, Lukas Struppek, Niklas Kühl | Eref Veröffentlichung |
A Critical Survey on Fairness Benefits of Explainable AI Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2024 | Luca Deck, Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl | Eref Veröffentlichung |
Data-centric artificial intelligence Business & Information Systems Engineering, 2024 | Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger | Eref |
Designing a computer-vision-based artifact for automated quality control: a case study in the food industry Flexible Services and Manufacturing Journal, 2024 | Felix Xiong, Niklas Kühl, Maximilian Stauder | Eref Veröffentlichung |
Generative Artificial Intelligence in the Energy Sector2024 | Anne Michaelis, Lars Böcking, Bastian Schäfermeier, André Baier, Niklas Kühl, Marc-Fabian Körner, Lars Nolting | Eref Veröffentlichung |
The Impact of Imperfect XAI on Human-AI Decision-Making Proceedings of the ACM on Human-Computer Interaction, 2024 | Katelyn Morrison, Philipp Spitzer, Violet Turri, Michelle Feng, Niklas Kühl, Adam Perer | Eref |
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness Proceedings of the Third European Workshop on Algorithmic Fairness (EWAF'24), 2024 | Luca Deck, Jan-Laurin Müller, Conradin Braun, Domenique Zipperling, Niklas Kühl | Eref Veröffentlichung |
Looking Through the Deep Glasses: How Large Language Models Enhance Explainability of Deep Learning Models Proceedings of Mensch und Computer 2024, 2024 | Philipp Spitzer, Sebastian Celis, Dominik Martin, Niklas Kühl, Gerhard Satzger | Eref Veröffentlichung |
A Multivocal Literature Review on Privacy and Fairness in Federated Learning Proceedings of the 19th International Conference on Wirtschaftsinformatik (WI), 2024 | Beatrice Balbierer, Lukas Heinlein, Domenique Zipperling, Niklas Kühl | Eref Veröffentlichung |
Navigating the Synthetic Realm: Harnessing Diffusion-Based Models for Laparoscopic Text-to-Image Generation AI for Health Equity and Fairness : Leveraging AI to Address Social Determinants of Health, 2024 | Simeon Allmendinger, Patrick Hemmer, Moritz Queisner, Igor Sauer, Leopold Müller, Johannes Jakubik, Michael Vössing, Niklas Kühl | Eref Veröffentlichung |
Towards Avoiding the Data Mess: Industry Insights from Data Mesh Implementations IEEE Access, 2024 | Jan Bode, Niklas Kühl, Dominik Kreuzberger, Carsten Holtmann | Eref |
(X)AI as a Teacher: Learning with Explainable Artificial Intelligence Proceedings of Mensch und Computer 2024, 2024 | Philipp Spitzer, Marc Goutier, Niklas Kühl, Gerhard Satzger | Eref Veröffentlichung |
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice International Conference on Information Systems (ICIS 2023), 2023 | Max Schemmer, Andrea Bartos, Philipp Spitzer, Patrick Hemmer, Niklas Kühl, Jonas Liebschner, Gerhard Satzger | Eref |
AB2CD: AI for Building Climate Damage Classification and Detection AAAI 2023 FALL SYMPOSIUM SERIES on Artificial Intelligence and Climate : The Role of AI in a Climate-Smart Sustainable Future, 2023 | Maximilian Nitsche, Surya Karthik Mukkavilli, Niklas Kühl, Thomas Brunschwiler | Eref |
A Critical Survey on Fairness Benefits of XAI XAI in Action: Past, Present, and Future Applications @ NeurIPS 2023, 2023 | Luca Deck, Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl | Eref Veröffentlichung |
Conceptualizing a Multi-Sided Platform for Cloud Computing Resource Trading The 31st European Conference on Information Systems (ECIS 2023), 2023 | Franziska Haller, Max Schemmer, Niklas Kühl, Carsten Holtmann | Eref Veröffentlichung |
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations Proceedings of the 28th International Conference on Intelligent User Interfaces : IUI '23, 2023 | Max Schemmer, Niklas Kühl, Carina Benz, Andrea Bartos, Gerhard Satzger | Eref |
Artificial intelligence for sustainability: Facilitating sustainable smart product-service systems with computer vision Journal of Cleaner Production, 2023 | Jannis Walk, Niklas Kühl, Michael Saidani, Jürgen Schatte | Eref |
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images Proceedings of the 56th Hawaii International Conference on System Sciences, 2023 | Marco Geiger, Dominik Martin, Niklas Kühl | Eref Veröffentlichung |
Design and Evaluation of an Anti-Phishing Artifact Based on Useful Transparency 12th International Workshop on Socio-Technical Aspects in Security, 2023 | Christopher Beckmann, Benjamin Berens, Niklas Kühl, Peter Mayer, Mattia Mossano, Melanie Volkamer | Eref |
Detecting Concept Drift With Neural Network Model Uncertainty Proceedings of the 56th Hawaii International Conference on System Sciences, 2023 | Lucas Baier, Tim Schlör, Jakob Schöffer, Niklas Kühl | Eref Veröffentlichung |
Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning Information Technology & Management, 2023 | Robin Hirt, Niklas Kühl, Dominik Martin, Gerhard Satzger | Eref Veröffentlichung |
Learning to Defer with Limited Expert Predictions Proceedings of the AAAI Conference on Artificial Intelligence, 2023 | Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl | Eref |
Machine learning operations (mlops): Overview, definition, and architecture IEEE Access, 2023 | Dominik Kreuzberger, Niklas Kühl, Sebastian Hirschl | Eref Veröffentlichung |
ML-Based Teaching Systems: A Conceptual Framework Proceedings of the ACM on Human-Computer Interaction, 2023 | Philipp Spitzer, Niklas Kühl, Daniel Heinz, Gerhard Satzger | Eref |
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making HHAI 2023: Augmenting Human Intellect : Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence, 2023 | Jakob Schöffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger | Eref |
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation 2023 IEEE International Geoscience and Remote Sensing Symposium : Proceedings, 2023 | Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler | Eref |
Towards ML products: MLOps & Complementarity Healthy AI Lab at Chalmers University of Technology, 2022 | Niklas Kühl | Eref |
Human-AI Complementarity University of Texas, 2022 | Niklas Kühl | Eref |
AI for in-line vehicle sequence controlling: development and evaluation of an adaptive machine learning artifact to predict sequence deviations in a mixed-model production line Flexible Services and Manufacturing Journal, 2022 | Maximilian Stauder, Niklas Kühl | Eref |
Artificial intelligence and machine learning Electronic Markets, 2022 | Niklas Kühl, Max Schemmer, Marc Goutier, Gerhard Satzger | Eref |
The cost of fairness in AI: Evidence from e-commerce Business & Information Systems Engineering, 2022 | Moritz von Zahn, Stefan Feuerriegel, Niklas Kühl | Eref |
Data-centric Artificial Intelligence2022 | Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger | Eref Veröffentlichung |
Deep Learning Strategies for Industrial Surface Defect Detection Systems Proceedings of the 55th Annual Hawaii International Conference on System Sciences, 2022 | Dominik Martin, Simon Heinzel, Johannes Kunze von Bischhoffshausen, Niklas Kühl | Eref Veröffentlichung |
Design knowledge for deep-learning-enabled image-based decision support systems: evidence from power line maintenance decision-making in press Business & Information Systems Engineering, 2022 | Julius Peter Landwehr, Niklas Kühl, Jannis Walk, Mario Gnädig | Eref |
Designing Resilient AI-based Robo-Advisors: A Prototype for Real Estate Appraisal 17th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2022), 2022 | Max Schemmer, Patrick Hemmer, Niklas Kühl, Sebastian Schäfer | Eref |
Designing Transparency for Effective Human-AI Collaboration Information Systems Frontiers, 2022 | Michael Vössing, Niklas Kühl, Matteo Lind, Gerhard Satzger | Eref |
Driver state prediction from vehicle signals: An evaluation of segmentation approaches IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022 | Martin Maritsch, Kevin Koch, Hauke Thomsen, Niklas Kühl, Matthias Pfäffli, Wolfgang Weinmann, Felix Wortmann | Eref |
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2022 ; Proceedings. Part I, 2022 | Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl | Eref |
Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making Proceedings of the 30th European Conference on Information Systems (ECIS), 2022 | Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas Kühl | Eref Veröffentlichung |
Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making2022 | Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas Kühl | Eref Veröffentlichung |
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 | Enrico Bunde, Niklas Kühl, Christian Meske | Eref Veröffentlichung |
Human vs. supervised machine learning: Who learns patterns faster? Cognitive Systems Research, 2022 | Niklas Kühl, Marc Goutier, Lucas Baier, Clemens Wolff, Dominik Martin | Eref |
Increasing Robustness for Machine Learning Services in Challenging Environments: Limited Resources and No Label Feedback Intelligent Systems and Applications : Proceedings of the 2021 Intelligent Systems Conference. Volume 1, 2022 | Lucas Baier, Niklas Kühl, Jörg Schmitt | Eref |
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence Proceedings of the 55th Hawaii International Conference on System Sciences, 2022 | Max Schemmer, Niklas Kühl, Gerhard Satzger | Eref Veröffentlichung |
labelCloud: A Lightweight Labeling Tool for Domain-Agnostic 3D Object Detection in Point Clouds Computer-Aided Design and Applications, 2022 | Christoph Sager, Patrick Zschech, Niklas Kühl | Eref |
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 2022 | Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Kühl, Michael Vössing | Eref |
On the Effect of Information Asymmetry in Human-AI Teams2022 | Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger | Eref Veröffentlichung |
On the Influence of Explainable AI on Automation Bias Proceedings of the 30th European Conference on Information Systems (ECIS), 2022 | Max Schemmer, Niklas Kühl, Carina Benz, Gerhard Satzger | Eref Veröffentlichung |
On the Relationship Between Explanations, Fairness Perceptions, and Decisions ACM CHI Workshop on Human-Centered Explainable AI (HCXAI), 12.-13. Mai 2022, 2022 | Jakob Schöffer, Maria De-Arteaga, Niklas Kühl | Eref |
On the Relationship Between Explanations, Fairness Perceptions, and Decisions2022 | Jakob Schöffer, Maria De-Arteaga, Niklas Kühl | Eref Veröffentlichung |
Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making2022 | Max Schemmer, Patrick Hemmer, Niklas Kühl, Carina Benz, Gerhard Satzger | Eref Veröffentlichung |
Technische Bildungsangebote für Geflüchtete: Der Verein Education for Refugees 50 Jahre AIFB : von 1971 bis 2021. 2. korrigierte, erweiterte Auflage, 2022 | Niklas Kühl, Jonas Lehner | Eref |
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making 2022 ACM Conference on Fairness, Accountability, and Transparency : FAccT '22, 2022 | Jakob Schöffer, Niklas Kühl, Yvette Machowski | Eref |
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer Workshop on Human-Machine Collaboration and Teaming (HM-CaT 2022), The 39th International Conference on Machine Learning, 2022 | Philipp Spitzer, Niklas Kühl, Marc Goutier | Eref |
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry Proceedings of the 55th Annual Hawaii International Conference on System Sciences, 2022 | Patrick Hemmer, Niklas Kühl, Jakob Schöffer | Eref Veröffentlichung |
What to Prioritize?: Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development Proceedings of the 55th Annual Hawaii International Conference on System Sciences, 2022 | Thu Hang Do Thi, Markus Dobler, Niklas Kühl | Eref Veröffentlichung |
Transparency in Human-Computer Collaboration: Should I Know What My Computer Is Thinking? Frontiers in Service Conference (2021), 2021 | Michael Vössing, Niklas Kühl, Gerhard Satzger | Eref |
AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021) : Proceedings, 2021 | Lucia Schuler, Somaya Jamil, Niklas Kühl | Eref |
Appropriate Fairness Perceptions?: On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing : CSCW '21 Companion, 2021 | Jakob Schöffer, Niklas Kühl | Eref |
Artificial Intelligence for Healthcare Logistics: An Overview and Research Agenda Artificial Intelligence and Data Mining in Healthcare, 2021 | Melanie Reuter-Oppermann, Niklas Kühl | Eref |
Conceptualizing Digital Resilience for AI-Based Information Systems 29th European Conference on Information Systems (ECIS 2021), 2021 | Max Schemmer, Daniel Heinz, Lucas Baier, Michael Vössing, Niklas Kühl | Eref |
Designing Chemical Emergency Response Systems Based on Open Data Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54), 2021 | Tobias Enders, Niklas Kühl, Jannis Walk, Marc Muff | Eref |
"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 (HICSS-54), 2021 | Niklas Kühl, Dominik Martin, Clemens Wolff, Melanie Volkamer | Eref Veröffentlichung |
How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card Communications of the Association for Information Systems, 2021 | Niklas Kühl, Robin Hirt, Lucas Baier, Björn Schmitz, Gerhard Satzger | Eref |
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review PACIS 2021 Proceedings, 2021 | Patrick Hemmer, Max Schemmer, Michael Vössing, Niklas Kühl | Eref Veröffentlichung |
IBM Service Transformation: From product suppliers to service providers2021 | Markus Brandes, Stephan Osthues, Matthias Bach, Peter Schel, Arne Büsching, Udo Schmidt, Michael Monger, Friedrich Schnürer, Patricia Müller, Gerhard Satzger, Niklas Kühl, Michael Vössing, Max Schemmer | Eref |
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds Proceedings of CAD'21, 2021 | Christoph Sager, Patrick Zschech, Niklas Kühl | Eref |
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 (ECIS), 2021 | Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl | Eref Veröffentlichung |
A Ranking Approach to Fair Classification COMPASS '21 : Proceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable Societies, 2021 | Jakob Schöffer, Niklas Kühl, Isabel Valera | Eref |
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 (HICSS-54), 2021 | Robin Hirt, Akash Srivastava, Carlos Berg, Niklas Kühl | Eref |
A Study on Fairness and Trust Perceptions in Automated Decision Making Joint Proceedings of the ACM IUI 2021 Workshops, 2021 | Jakob Schöffer, Yvette Machowski, Niklas Kühl | Eref |
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 (HICSS-54), 2021 | Lucas Baier, Vincent Kellner, Niklas Kühl, Gerhard Satzger | Eref Veröffentlichung |
Towards a Reference Architecture for Future Industrial Internet of Things Networks 2021 IEEE 23rd Conference on Business Informatics : CBI 2021. Volume 2. CBI Forum and Workshop Papers, 2021 | Dominik Martin, Niklas Kühl, Marcel Schwenk | Eref |
An Uncertainty-Based Human-in-the-Loop System for Industrial Tool Wear Analysis Machine Learning and Knowledge Discovery in Databases : Applied Data Science and Demo Track ; Proceedings, Part V, 2021 | Alexander Treiss, Jannis Walk, Niklas Kühl | Eref |
Virtual Sensors Business & Information Systems Engineering, 2021 | Dominik Martin, Niklas Kühl, Gerhard Satzger | Eref |
Will the Customers Be Happy?: Identifying Unsatisfied Customers from Service Encounter Data Journal of Service Management, 2021 | Lucas Baier, Niklas Kühl, Ronny Schüritz, Gerhard Satzger | Eref |
"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics2020 | Niklas Kühl, Dominik Martin, Clemens Wolff, Melanie Volkamer | Eref |
DEAL: Deep Evidential Active Learning for Image Classification 19th IEEE International Conference On Machine Learning And Applications : ICMLA 2020 ; Proceedings, 2020 | Patrick Hemmer, Niklas Kühl, Jakob Schöffer | Eref |
Enabling System-Oriented Service Delivery in Industrial Maintenance: A Meta-method for Predicting Industrial Costs of Downtime Exploring Service Science : 10th International Conference, IESS 2020 ; Proceedings, 2020 | Clemens Wolff, Niklas Kühl, Gerhard Satzger | Eref |
Engineering Industrial Service Systems: Design and Evaluation of System-Oriented Service Delivery Designing for Digital Transformation : Co-Creating Services with Citizens and Industry ; DESRIST 2020, Proceedings, 2020 | Clemens Wolff, Niklas Kühl, Gerhard Satzger | Eref |
Exploring Service Science: 10th International Conference, IESS 2020 ; Proceedings 10th International Conference (IESS 2020), 2020 | Henriqueta Nóvoa, Monica Drăgoicea, Niklas Kühl | Eref |
Grasping the Terminology: Smart Services, Smart Service Systems, and Cyber-Physical Systems Smart Service Management : Design Guidelines and Best Practices, 2020 | Dominik Martin, Niklas Kühl, Maria Maleshkova | Eref |
Half-empty or half-full?: A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime Exploring Service Science : 10th International Conference, IESS 2020 ; Proceedings, 2020 | Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Hersløv | Eref |
Handling Concept Drift for Predictions in Business Process Mining 2020 IEEE 22nd Conference on Business Informatics : CBI 2020 ; Proceedings, 2020 | Lucas Baier, Josua Reimold, Niklas Kühl | Eref |
Handling Concept Drifts in Regression Problems: the Error Intersection Approach Entwicklungen, Chancen und Herausforderungen der Digitalisierung : Proceedings der 15. Internationalen Tagung Wirtschaftsinformatik 2020. Band 1, 2020 | Lucas Baier, Marcel Hofmann, Niklas Kühl, Marisa Mohr, Gerhard Satzger | Eref |
How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting 2020 IEEE 22nd Conference on Business Informatics : CBI 2020 ; Proceedings, 2020 | Robin Hirt, Niklas Kühl, Yusuf Peker, Gerhard Satzger | Eref |
Industrial Maintenance in the Digital World Smart Service Management : Design Guidelines and Best Practices, 2020 | Michael Vössing, Niklas Kühl | Eref |
A network-based transfer learning approach to improve sales forecasting of new products Proceedings of the 28th European Conference on Information Systems (ECIS), 2020 | Tristan Karb, Niklas Kühl, Robin Hirt, Varvara Glivici-Cotruță | Eref Veröffentlichung |
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs Proceedings of the 53rd Annual Hawaii International Conference on System Sciences (HICSS-53), 2020 | Dominik Martin, Philipp Spitzer, Niklas Kühl | Eref Veröffentlichung |
Service Analytics: Putting the "Smart" in Smart Services Smart Service Management : Design Guidelines and Best Practices, 2020 | Niklas Kühl, Hansjörg Fromm, Jakob Schöffer, Gerhard Satzger | Eref |
Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses Smart Service Management : Design Guidelines and Best Practices, 2020 | Dominik Martin, Niklas Kühl, Johannes Kunze von Bischhoffshausen | Eref |
Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media Electronic Markets, 2020 | Niklas Kühl, Marius Mühlthaler, Marc Goutier | Eref |
System-wide Learning in Cyber-Physical Service Systems: A Research Agenda Designing for Digital Transformation : Co-Creating Services with Citizens and Industry ; DESRIST 2020, Proceedings, 2020 | Dominik Martin, Niklas Kühl, Johannes Kunze von Bischhoffshausen, Gerhard Satzger | Eref |
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry Proceedings of the 53rd Annual Hawaii International Conference on System Sciences (HICSS-53), 2020 | Jannis Walk, Niklas Kühl, Jonathan Schäfer | Eref Veröffentlichung |
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis2020 | Alexander Treiss, Jannis Walk, Niklas Kühl | Eref Veröffentlichung |
Der Aufstieg von KI: Von grenzenlosen Chancen bis zu existenziellen Risiken KI goes KMU: Auf die Überholspur? Das „Tanker-Schnellboot-Syndrom“: Von der Chance, große Unternehmen durch Algorithmen, Neuronale Netze und Machine Learning zu überholen, 2019 | Niklas Kühl | Eref |
Artificial Intelligence in Service Systems Wharton School Research Talk, 2019 | Niklas Kühl | Eref |
How to Learn from Others? A Research Agenda on Transfer Machine Learning for Sales Forecasting MIT-IBM Watson AI Lab (2019), 2019 | Robin Hirt, Niklas Kühl | Eref |
Analyzing the Impact of Strategic Behavior in System-Oriented Service Delivery Proceedings of the 40th International Conference on Information Systems (ICIS 2019) : Smart Service Systems and Service Science, 2019 | Clemens Wolff, Steven O. Kimbrough, Niklas Kühl | Eref Veröffentlichung |
Applied AI in Services Research Presentation (2019), The Wharton School of the University of Pennsylvania, 2019 | Niklas Kühl | Eref |
Artificial Intelligence in Service Systems Invited Seminar (2018), University of Auckland, 2019 | Niklas Kühl | Eref |
Automatically Extracting and Analyzing Customer Needs from Twitter: A "Needmining" Prototype Human Practice, Digital Ecologies, Our Future : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) ; Tagungsband, 2019 | Niklas Kühl, Dominik Martin, Gerhard Satzger | Eref |
Cognition in the Era of Smart Service Systems: Inter-organizational Analytics through Meta and Transfer Learning Bridging the Internet of People, Data, and Things : 39th International Conference on Information Systems (ICIS 2018). Volume 5, 2019 | Robin Hirt, Niklas Kühl | Eref |
Cognitive computing for customer profiling: meta classification for gender prediction Electronic Markets, 2019 | Robin Hirt, Niklas Kühl, Gerhard Satzger | Eref |
Design Principles for Human-Computer Collaboration Proceedings of the Workshop on Designing User Assistance in Intelligent Systems, Stockholm, Sweden, 2019, 2019 | Michael Vössing, Matteo Lind, Niklas Kühl, Gerhard Satzger | Eref |
Designing Useful Transparency to Improve Process Performance: Evidence from an Automated Production Line ECIS 2019 proceedings, 2019 | Michael Vössing, Felix Potthoff, Niklas Kühl, Gerhard Satzger | Eref Veröffentlichung |
Do you comply with AI?: Personalized explanations of learning algorithms and their impact on employees' compliance behavior Proceedings of the 40th International Conference on Information Systems (ICIS 2019) : Paper-A-Thon, 2019 | Niklas Kühl, Jodie Lobana, Christian Meske | Eref Veröffentlichung |
Holistic System-Analytics as an Alternative to Isolated Sensor Technology: A Condition Monitoring Use Case Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, 2019 | Dominik Martin, Niklas Kühl | Eref Veröffentlichung |
How to Cope with Change? Preserving Validity of Predictive Services over Time Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, 2019 | Lucas Baier, Niklas Kühl, Gerhard Satzger | Eref Veröffentlichung |
Literature vs. Twitter: Empirical insights on customer needs in e-mobility Journal of Cleaner Production, 2019 | Niklas Kühl, Marc Goutier, Axel Ensslen, Patrick Jochem | Eref |
Machine Learning in Artificial Intelligence: Towards a Common Understanding Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, 2019 | Niklas Kühl, Marc Goutier, Robin Hirt, Gerhard Satzger | Eref Veröffentlichung |
On the Impact of the Customer Base on the Added Value through System-Oriented Service Delivery in Industrial Maintenance Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, 2019 | Clemens Wolff, Melanie Reuter-Oppermann, Niklas Kühl | Eref Veröffentlichung |
Service Systems, Smart Service Systems and Cyber-Physical Systems: What’s the difference? Towards a Unified Terminology Human Practice, Digital Ecologies, Our Future : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) ; Tagungsband, 2019 | Dominik Martin, Robin Hirt, Niklas Kühl | Eref |
Unterstützung der Wissensarbeit durch Künstliche Intelligenz: Anforderungen an die Gestaltung maschinellen Lernens Arbeit interdisziplinär : analysieren, bewerten, gestalten ; 65. Kongress der Gesellschaft für Arbeitswissenschaft, 2019 | Gerhard Satzger, Niklas Kühl, Andrea Martin | Eref |
Künstliche Intelligenz für industrielle Dienstleistungen Schmalenbach Arbeitskreis "Unternehmenswachstum und Internationales Management", 2018 | Niklas Kühl | Eref |
From Goldfish to God: The (dangerous) Growth of AI Artificial Intelligence Conference, Canadian-German Chamber of Industry and Commerce (2018), 2018 | Niklas Kühl | Eref |
IGNITE-Talk: How to design successful products and services with Needmining 51st Hawaii International Conference on System Sciences (HICSS 2018), 2018 | Niklas Kühl | Eref |
Automatically Quantifying Customer Need Tweets: Towards a Supervised Machine Learning Approach 51st Hawaii International Conference on System Sciences (HICSS 2018). Volume 1, 2018 | Niklas Kühl, Marius Mühlthaler, Marc Goutier | Eref |
Comfort-as-a-Service: Designing a User-Oriented Thermal Comfort Artifact for Office Buildings Bridging the Internet of People, Data, and Things : 39th International Conference on Information Systems (ICIS 2018). Volume 2, 2018 | Svenja Laing, Niklas Kühl | Eref |
Exploring Service Science: 9th International Conference, IESS 2018 ; Proceedings 9th International Conference (IESS 2018), 2018 | | Eref |
Needmining: Evaluating a Whitelist-Based Assignment Method to Quantify Customer Needs from Micro Blog Data Operations Research Proceedings 2016 : Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), 2018 | Niklas Kühl, Marc Goutier | Eref |
System-Oriented Service Delivery: The Application of Service System Engineering to Service Delivery Proceedings of the 26th European Conference on Information Systems (ECIS), 2018 | Clemens Wolff, Niklas Kühl, Gerhard Satzger | Eref Veröffentlichung |
Towards Service-oriented Cognitive Analytics for Smart Service Systems Proceedings of the 51st Hawaii International Conference on System Sciences, 2018 | Robin Hirt, Niklas Kühl, Björn Schmitz, Gerhard Satzger | Eref Veröffentlichung |
Using Monte-Carlo Simulation to Measure the Business-Relevant Impact of Planning Uncertainty on Field Service Delivery Simulation for a noble cause : Proceedings of the 2018 Winter Simulation Conference, 2018 | Clemens Wolff, Michael Vössing, Niklas Kühl | Eref |
White Spots in Business and IT: An Explorative Study for E-Mobility Services World Electric Vehicle Journal, 2018 | Dominik Martin, Niklas Kühl, Carola Stryja, Jan Haude | Eref |
White spots in business and IT: An explorative study for e-mobility services 30th International Electric Vehicle Symposium (EVS 30). Volume 4, 2018 | Niklas Kühl | Eref |
Abbildung kognitiver Fähigkeiten mit Metamodellen INFORMATIK 2017. Band 3, 2017 | Robin Hirt, Niklas Kühl | Eref |
Business Model Clustering: A network-based approach in the field of e-mobility services Proceedings of the Second KSS Research Workshop : Karlsruhe, Germany, February, 2016, 2017 | Christian Engel, Jan Haude, Niklas Kühl | Eref |
Empirical insights on customer needs in e-mobility product service systems GOR-IE Workshop "Approaches on Operations Research and Industrial Ecology for a Sustainable Resource and Energy Management", 2017 | Niklas Kühl, Marc Goutier, Axel Ensslen, Patrick Jochem | Eref |
Empirische Studie I: Identifizierung von Elektromobilitätsdienstleistungstypen aus dem Atlas mit Data Mining Mit Informationstechnologien zu innovativen Dienstleistungen und Geschäftsmodellen in der Elektromobilität : Empirische Studien zu Geschäftsmodellen und IT für Elektromobilitätsdienstleistungen, 2017 | Niklas Kühl, Fabian Hunke | Eref |
An End-to-End Process Model for Supervised Machine Learning Classification: From Problem to Deployment in Information Systems Designing the Digital Transformation : DESRIST 2017 Research in Progress Proceedings, 2017 | Robin Hirt, Niklas Kühl, Gerhard Satzger | Eref |
Mit Informationstechnologien zu innovativen Dienstleistungen und Geschäftsmodellen in der Elektromobilität: Empirische Studien zu Geschäftsmodellen und IT für Elektromobilitätsdienstleistungen Fraunhofer Verlag, 2017 | Carola Stryja, Niklas Kühl, Gerhard Satzger | Eref |
Needmining: automated analytical support for customer need elicitation Karlsruher Institut für Technologie (KIT), 2017 | Niklas Kühl | Eref |
Needmining: Towards a Modern Approach of Need Elicitation Doctoral Consortium, 2017 | Niklas Kühl | Eref |
Towards a Unified Approach to Identify Business Model Patterns: A Case of E-Mobility Services Exploring services science : IESS 2017 ; Proceedings, 2017 | Fabian Hunke, Ronny Schüritz, Niklas Kühl | Eref |
Methods to Identify User Needs and Decision Mechanisms for the Adoption of Electric Vehicles World Electric Vehicle Journal, 2016 | Axel Ensslen, Niklas Kühl, Carola Stryja, Patrick Jochem | Eref |
Methods to Identify User Needs and Decision Mechanisms for the Adoption of Electric Vehicles 29th International Electric Vehicle Symposium 2016 (EVS29) : Proceedings. Volume 1, 2016 | Axel Ensslen, Niklas Kühl, Carola Stryja, Patrick Jochem | Eref |
“Need tweets”: New insights about customer needs from micro blog data in the field of e-mobility Informatik 2016, 2016 | Niklas Kühl, Marc Goutier | Eref |
Needmining: Analytically Identifying Customer Needs for Designing New Services 25th Annual Frontiers in Service Conference, 2016 | Niklas Kühl, Gerhard Satzger | Eref |
Needmining: Identifying micro blog data containing customer needs Information systems as a global gateway : research papers, 2016 | Niklas Kühl, Jan Scheurenbrand, Gerhard Satzger | Eref Veröffentlichung |
Needmining: Towards analytical support for service design Exploring Services Science : 7th International Conference, IESS 2016 ; Proceedings, 2016 | Niklas Kühl | Eref |
"Needs from Tweets": Towards Deriving Customer Needs From Micro Blog Data Multikonferenz Wirtschaftsinformatik (MKWI) 2016. Band 2, 2016 | Niklas Kühl, Jan Scheurenbrand, Gerhard Satzger | Eref |
Programming for Refugees: An Active Learning Approach for Teaching Java to Heterogeneous Groups Informatik 2016, 2016 | Niklas Kühl, Jonas Lehner | Eref |
Services for Electric Mobility Leitmesse für Elektromobilität eCarTec 2016 im Rahmen der eMove360°, 2016 | Niklas Kühl, Dominik Kolz, Sabrina Cocca | Eref |
Towards Extracting Customer Needs from Incident Tickets in IT Services 2016 IEEE 18th Conference on Business Informatics (CBI). Volume 1. Conference papers, 2016 | Lena Eckstein, Niklas Kühl, Gerhard Satzger | Eref |
Business Models for Electric Mobility Services: Development of a user focused framework 24th Annual Frontiers in Service Conference, 2015 | Ronny Schüritz, Niklas Kühl, Carola Stryja, Peter Hottum, Gerhard Satzger | Eref |
Entwicklung eines Frameworks zur Beschreibung von Geschäftsmodellen für Elektromobilitätsdienstleistungen Energiesysteme im Wandel : Evolution oder Revolution? 9. Internationale Energiewirtschaftstagung (IEWT 2017), 2015 | Carola Stryja, Ronny Schüritz, Niklas Kühl, Peter Hottum, Gerhard Satzger | Eref |
Entwurf eines Bewertungsframeworks für IT-gestützte Elektromobilitätsdienstleistungen Dienstleistungsinnovationen für Elektromobilität : Märkte, Geschäftsmodelle, Kooperationen, 2015 | Niklas Kühl, Carola Stryja | Eref |
Holistically Defining E-Mobility: A Modern Approach to Systematic Literature Reviews Proceedings of the First Karlsruhe Service Summit Workshop : Advances in Service Research, 2015 | Jan Scheurenbrand, Christian Engel, Florin Peters, Niklas Kühl | Eref |
Identifying Customer Needs Using Micro Blog Data RESER 2015 Doctoral Colloquium, 2015 | Niklas Kühl | Eref |
Netzwerke und Allianzen Dienstleistungen für Elektromobilität : Ergebnisse einer Expertenstudie, 2015 | Peter Hottum, Niklas Kühl, Carola Stryja | Eref |