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Conference and Workshop Papers
- 2024
[c15]Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl:
Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. AAAI 2024: 22948-22954- [c14]Lara Riefle, Patrick Hemmer, Carina Benz, Michael Vössing:
The Role of Cognitive Styles for Explainable AI. ECIS 2024 - 2023
- [c13]Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl:
Learning to Defer with Limited Expert Predictions. AAAI 2023: 6002-6011 - [c12]Max Schemmer, Andrea Bartos, Philipp Spitzer, Patrick Hemmer, Niklas Kühl, Jonas Liebschner, Gerhard Satzger:
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice. ICIS 2023 - [c11]Patrick Hemmer
, Monika Westphal, Max Schemmer, Sebastian Vetter, Michael Vössing, Gerhard Satzger:
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction. IUI 2023: 453-463 - [c10]Johannes Jakubik, Daniel Weber, Patrick Hemmer, Michael Vössing, Gerhard Satzger:
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts. Wirtschaftsinformatik 2023: 85 - 2022
- [c9]Johannes Jakubik, Patrick Hemmer, Michael Vössing, Benedikt Blumenstiel, Andrea Bartos, Kamilla Mohr:
Designing a Human-in-the-Loop System for Object Detection in Floor Plans. AAAI 2022: 12524-12530 - [c8]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: 617-626 - [c7]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. ECIS 2022 - [c6]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: 1-10 - [c5]Lara Riefle, Patrick Hemmer, Carina Benz, Michael Vössing, Jannik Pries:
On the Influence of Cognitive Styles on Users' Understanding of Explanations. ICIS 2022 - [c4]Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger:
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. IJCAI 2022: 2478-2484 - [c3]Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer:
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. Wirtschaftsinformatik 2022 - 2021
- [c2]Patrick Hemmer, Max Schemmer, Michael Vössing, Niklas Kühl:
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review. PACIS 2021: 78 - 2020
- [c1]Patrick Hemmer, Niklas Kühl, Jakob Schöffer:
DEAL: Deep Evidential Active Learning for Image Classification. ICMLA 2020: 865-870
Informal and Other Publications
- 2024
- [i17]Philipp Spitzer, Joshua Holstein, Patrick Hemmer, Michael Vössing, Niklas Kühl, Dominik Martin, Gerhard Satzger:
On the Effect of Contextual Information on Human Delegation Behavior in Human-AI collaboration. CoRR abs/2401.04729 (2024) - [i16]Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger:
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence. CoRR abs/2404.00029 (2024) - 2023
- [i15]Patrick Hemmer, Monika Westphal, Max Schemmer, Sebastian Vetter, Michael Vössing, Gerhard Satzger:
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction. CoRR abs/2303.09224 (2023) - [i14]Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl:
Learning to Defer with Limited Expert Predictions. CoRR abs/2304.07306 (2023) - [i13]Johannes Jakubik, Daniel Weber, Patrick Hemmer, Michael Vössing, Gerhard Satzger:
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts. CoRR abs/2307.03003 (2023) - [i12]Max Schemmer, Andrea Bartos, Philipp Spitzer, Patrick Hemmer, Niklas Kühl, Jonas Liebschner, Gerhard Satzger:
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice. CoRR abs/2310.02108 (2023) - [i11]Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl:
Redefining the Laparoscopic Spatial Sense: AI-based Intra- and Postoperative Measurement from Stereoimages. CoRR abs/2311.09744 (2023) - [i10]Simeon Allmendinger, Patrick Hemmer, Moritz Queisner, Igor Sauer, Leopold Müller, Johannes Jakubik, Michael Vössing, Niklas Kühl:
Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation. CoRR abs/2312.03043 (2023) - 2022
- [i9]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 abs/2204.06916 (2022) - [i8]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 abs/2204.09082 (2022) - [i7]Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger:
On the Effect of Information Asymmetry in Human-AI Teams. CoRR abs/2205.01467 (2022) - [i6]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 abs/2205.05126 (2022) - [i5]Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger:
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. CoRR abs/2206.07948 (2022) - [i4]Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer:
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. CoRR abs/2207.06835 (2022) - [i3]Lara Riefle, Patrick Hemmer, Carina Benz, Michael Vössing, Jannik Pries:
On the Influence of Cognitive Styles on Users' Understanding of Explanations. CoRR abs/2210.02123 (2022) - 2021
- [i2]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 abs/2110.09023 (2021) - 2020
- [i1]Patrick Hemmer, Niklas Kühl, Jakob Schöffer:
DEAL: Deep Evidential Active Learning for Image Classification. CoRR abs/2007.11344 (2020)
Coauthor Index
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