Michael Vössing

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 58

Top Topics

Artificial Intelligence

Instance Selection

Machine Learning Models

Top Venues

Publications

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)
Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence. CoRR (2024)
Johannes Jakubik, Michael Vössing, Manil Maskey, Christopher Wölfle, Gerhard Satzger
Improving Label Error Detection and Elimination with Uncertainty Quantification. CoRR (2024)
Niklas Kühl, Thomas Setzer, Hansjörg Fromm, Michael Vössing
Introduction to the Minitrack on Service Analytics. HICSS (2024)
Joshua Holstein, Philipp Spitzer, Marieke Hoell, Michael Vössing, Niklas Kühl
Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics. CoRR (2024)
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 (2024)
Philipp Spitzer, Joshua Holstein, Michael Vössing, Niklas Kühl
On the Perception of Difficulty: Differences between Human and AI. AutomationXP@CHI (2023)
Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kuehl, Gerhard Satzger
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. CoRR (2023)
Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. HHAI (2023)
Joshua Holstein, Max Schemmer, Johannes Jakubik, Michael Vössing, Gerhard Satzger
Sanitizing data for analysis: Designing systems for data understanding. Electron. Mark. 33 (1) (2023)
Johannes Jakubik, Michael Vössing, Nicolas Pröllochs, Dominik Bär, Stefan Feuerriegel
Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. ICWSM (2023)
Benedikt Blumenstiel, Johannes Jakubik, Hilde Kühne, Michael Vössing
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation. NeurIPS (2023)
Benedikt Blumenstiel, Johannes Jakubik, Hilde Kühne, Michael Vössing
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation. CoRR (2023)
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)
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)
Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. CoRR (2023)
Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl
Learning to Defer with Limited Expert Predictions. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl
Learning to Defer with Limited Expert Predictions. AAAI (2023)
Monika Westphal, Michael Vössing, Gerhard Satzger, Galit B. Yom-Tov, Anat Rafaeli
Decision control and explanations in human-AI collaboration: Improving user perceptions and compliance. Comput. Hum. Behav. 144 (2023)
Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. IGARSS (2023)
Philipp Spitzer, Joshua Holstein, Michael Vössing, Niklas Kühl
On the Perception of Difficulty: Differences between Humans and AI. CoRR (2023)
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 (2023)
Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. CoRR (2022)
Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas Kuehl
Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making. ECIS (2022)
Johannes Jakubik, Michael Vössing, Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. CoRR (2022)
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 (2022)
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 (2022)
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 (2022)
Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. CoRR (2022)
Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. PKDD/ECML Workshops (1) (2022)
Lara Riefle, Patrick Hemmer, Carina Benz, Michael Vössing, Jannik Pries
On the Influence of Cognitive Styles on Users' Understanding of Explanations. ICIS (2022)
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)
Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. Wirtschaftsinformatik (2022)
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)
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)
Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger
On the Effect of Information Asymmetry in Human-AI Teams. CoRR (2022)
Lara Riefle, Patrick Hemmer, Carina Benz, Michael Vössing, Jannik Pries
On the Influence of Cognitive Styles on Users' Understanding of Explanations. CoRR (2022)
Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger
Data-centric Artificial Intelligence. CoRR (2022)
Michael Vössing, Niklas Kühl, Matteo Lind, Gerhard Satzger
Designing Transparency for Effective Human-AI Collaboration. Inf. Syst. Frontiers 24 (3) (2022)
Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. ECIS (2021)
Max Schemmer, Daniel Heinz, Lucas Baier, Michael Vössing, Niklas Kühl
Conceptualizing Digital Resilience for AI-based Information Systems. ECIS (2021)
Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. CoRR (2021)
Patrick Hemmer, Max Schemmer, Michael Vössing, Niklas Kühl
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review. PACIS (2021)
Michael Vössing, Felix Potthoff, Niklas Kühl, Gerhard Satzger
Designing Useful Transparency to Improve Process Performance - Evidence from an Automated production Line. ECIS (2019)
Michael Vössing
Redesigning Service Operations for the Digital World: towards Automated and Data-Driven field Service Planning. ECIS (2019)
Thomas Pschybilla, Manuela Hofmann, Tobias Enders, Michael Vössing
Priorisierung von Digitalisierungsprojekten entlang der gesamten kundenorientierten Prozesskette im Maschinenbau. HMD Prax. Wirtsch. 56 (6) (2019)
Clemens Wolff, Michael Vössing, Björn Schmitz, Hansjörg Fromm
Towards a Technician Marketplace using Capacity-Based Pricing. HICSS (2018)
Sebastian R. Bader, Clemens Wolff, Michael Vössing, Jan-Peter Schmidt
Towards Enabling Cyber-Physical Systems in Brownfield Environments - Leveraging Environmental Information to Derive Virtual Representations of Unconnected Assets. IESS (2018)
Michael Vössing, Jörg Siegel, Niels Feldmann, Thorsten Wuest, Carina Benz
Employee-Centric Service Innovation: A Viable Proxy for Customer-Intimacy for Product-Focused Enterprises. IESS (2018)
Clemens Wolff, Michael Vössing, Niklas Kühl
Using Monte-Carlo simulation to Measure the Business-Relevant Impact of Planning uncertainty on field Service Delivery. WSC (2018)
Clemens Wolff, Michael Vössing
A Framework for the Simulation-Based Estimation of Downtime Costs. IESS (2018)
Michael Vössing, Clemens Wolff, Volkmar Reinerth
Digitalization of Field Service Planning: The Role of Organizational Knowledge and Decision Support Systems. IESS (2018)
Sebastian R. Bader, Michael Vössing, Clemens Wolff, Jannis Walk, Maria Maleshkova
Supporting the Dispatching Process for Maintenance Technicians in Industry 4.0. WM (2017)
Michael Vössing
Towards Managing Complexity and Uncertainty in Field Service Technician Planning. CBI (1) (2017)
Michael Vössing, Johannes Kunze von Bischhoffshausen
Field Service Technician Management 4.0. OR (2016)