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2020 – today
- 2024
[j3]Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger:
Data-Centric Artificial Intelligence. Bus. Inf. Syst. Eng. 66(4): 507-515 (2024)- [j2]Jannis Walk, Max Schemmer, Niklas Kühl, Gerhard Satzger:
Image-Mining-Based Decision Support Systems: Design Knowledge and its Evaluation in Tool Wear Analysis. Commun. Assoc. Inf. Syst. 54: 44 (2024) - 2023
- [b1]Jannis Walk:
Image-based Decision Support Systems: Technical Concepts, Design Knowledge, and Applications for Sustainability. Karlsruhe Institute of Technology, Germany, 2023 - [i6]Jannis Walk, Niklas Kühl, Michael Saidani, Jürgen Schatte:
Artificial Intelligence for Sustainability: Facilitating Sustainable Smart Product-Service Systems with Computer Vision. CoRR abs/2303.13540 (2023) - 2022
- [j1]Julius Peter Landwehr, Niklas Kühl, Jannis Walk, Mario Gnädig:
Design Knowledge for Deep-Learning-Enabled Image-Based Decision Support Systems. Bus. Inf. Syst. Eng. 64(6): 707-728 (2022) - [i5]Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger:
Data-centric Artificial Intelligence. CoRR abs/2212.11854 (2022) - 2021
- [c6]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 - [c5]Tobias Enders, Niklas Kühl, Jannis Walk, Marc Muff:
Designing Chemical Emergency Response Systems Based on Open Data. HICSS 2021: 1-10 - [i4]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 abs/2104.11600 (2021) - 2020
- [c4]Jannis Walk, Niklas Kühl, Jonathan Schäfer:
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry. HICSS 2020: 1-10 - [c3]Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Hersløv:
Half-Empty or Half-Full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime. IESS 2020: 107-120 - [c2]Alexander Treiss, Jannis Walk, Niklas Kühl:
An Uncertainty-Based Human-in-the-Loop System for Industrial Tool Wear Analysis. ECML/PKDD (5) 2020: 85-100 - [i3]Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Hersløv:
Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime. CoRR abs/2003.13304 (2020) - [i2]Alexander Treiss, Jannis Walk, Niklas Kühl:
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis. CoRR abs/2007.07129 (2020) - [i1]Jannis Walk, Niklas Kühl, Jonathan Schäfer:
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry. CoRR abs/2008.01053 (2020)
2010 – 2019
- 2017
- [c1]Sebastian R. Bader, Michael Vössing, Clemens Wolff, Jannis Walk, Maria Maleshkova:
Supporting the Dispatching Process for Maintenance Technicians in Industry 4.0. WM 2017: 131-136
Coauthor Index
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