| 2025 | CVPR | Towards Human-Understandable Multi-Dimensional Concept Discovery. | Arne Grobrgge, Niklas Khl, Gerhard Satzger, Philipp Spitzer |
| 2025 | ICIS | PromptPilot: Improving Human-AI Collaboration Through LLM-Enhanced Prompt Engineering. | Niklas Gutheil, Valentin Mayer, Leopold Mller, Jrg Rmmelt, Niklas Khl |
| 2025 | ICIS | Data Quality Challenges in Retrieval-Augmented Generation. | Leopold Mller, Joshua Holstein, Sarah Bause, Gerhard Satzger, Niklas Khl |
| 2025 | MICCAI | Do Edges Matter? Investigating Edge-Enhanced Pre-training for Medical Image Segmentation. | Paul Zaha, Simeon Allmendinger, Lars Bcking, Leopold Mller, Niklas Khl |
| 2024 | AAAI | Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. | Leopold Mller, Patrick Hemmer, Moritz Queisner, Igor M. Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vssing, Niklas Khl |
| 2024 | CHI | Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making. | Jakob Schoeffer, Maria De-Arteaga, Niklas Khl |
| 2024 | MICCAI | Interactive Generation of Laparoscopic Videos with Diffusion Models. | Ivan Iliash, Simeon Allmendinger, Felix Meissen, Niklas Khl, Daniel Rckert |
| 2023 | AAAI | Learning to Defer with Limited Expert Predictions. | Patrick Hemmer, Lukas Thede, Michael Vssing, Johannes Jakubik, Niklas Khl |
| 2023 | CHI | On the Perception of Difficulty: Differences between Human and AI. | Philipp Spitzer, Joshua Holstein, Michael Vssing, Niklas Khl |
| 2023 | ICIS | 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 Khl, Jonas Liebschner, Gerhard Satzger |
| 2023 | IGARSS | Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. | Johannes Jakubik, Michal Muszynski, Michael Vssing, Niklas Khl, Thomas Brunschwiler |
| 2023 | IUI | Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations. | Max Schemmer, Niklas Khl, Carina Benz, Andrea Bartos, Gerhard Satzger |
| 2022 | AIES | A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making. | Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Khl, Michael Vssing |
| 2021 | CCGRID | AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments. | Lucia Schuler, Somaya Jamil, Niklas Khl |
| 2021 | CSCW | Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems. | Jakob Schffer, Niklas Khl |
| 2021 | IUI | A Study on Fairness and Trust Perceptions in Automated Decision Making. | Jakob Schffer, Yvette Machowski, Niklas Khl |
| 2020 | ICIS | Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19. | Lucas Baier, Jakob Schffer, Niklas Khl |
| 2020 | ICMLA | DEAL: Deep Evidential Active Learning for Image Classification. | Patrick Hemmer, Niklas Khl, Jakob Schffer |
| 2019 | ICIS | Analyzing the Impact of Strategic Behavior in System-Oriented Service Delivery. | Clemens Wolff, Steven Kimbrough, Niklas Khl |
| 2018 | ICIS | Cognition in the Era of Smart Service Systems: Inter-organizational Analytics through Meta and Transfer Learning. | Robin Hirt, Niklas Khl |
| 2018 | ICIS | Comfort-as-a-Service: Designing a User-Oriented Thermal Comfort Artifact for Office Buildings. | Svenja Laing, Niklas Khl |
| 2018 | WSC | Using Monte-Carlo simulation to Measure the Business-Relevant Impact of Planning uncertainty on field Service Delivery. | Clemens Wolff, Michael Vssing, Niklas Khl |
| 2017 | GI | Abbildung kognitiver Fhigkeiten mit Metamodellen. | Robin Hirt, Niklas Khl |
| 2016 | GI | "Need tweets": new insights about customer needs from micro blog data in the field of E-mobility. | Niklas Khl, Marc Goutier |
| 2016 | GI | Programming for refugees - an active learning approach for teaching Java to heterogeneous groups. | Niklas Khl, Jonas Lehner |