Supporting the Dispatching Process for Maintenance Technicians in Industry 4.0. - Sebastian R. Bader; Michael Vössing; Clemens Wolff; Jannis Walk; Maria Maleshkova (WM, 2017)

Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry. - Jannis Walk; Niklas Kühl 001; Jonathan Schäfer (HICSS, 2020)

Half-Empty or Half-Full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime. - Jannis Walk; Robin Hirt; Niklas Kühl 001; Erik R. Hersløv (IESS, 2020)

An Uncertainty-Based Human-in-the-Loop System for Industrial Tool Wear Analysis. - Alexander Treiss; Jannis Walk; Niklas Kühl 001 (ECML/PKDD (5), 2020)

A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. - Patrick Zschech; Jannis Walk; Kai Heinrich; Michael Vössing; Niklas Kühl 001 (ECIS, 2021)

Designing Chemical Emergency Response Systems Based on Open Data. - Tobias Enders; Niklas Kühl 001; Jannis Walk; Marc Muff (HICSS, 2021)

Design Knowledge for Deep-Learning-Enabled Image-Based Decision Support Systems. - Julius Peter Landwehr; Niklas Kühl 001; Jannis Walk; Mario Gnädig (Bus. Inf. Syst. Eng., 2022)

Artificial Intelligence for Sustainability: Facilitating Sustainable Smart Product-Service Systems with Computer Vision. - Jannis Walk; Niklas Kühl 001; Michael Saidani; Jürgen Schatte (CoRR, 2023)

Image-based Decision Support Systems: Technical Concepts, Design Knowledge, and Applications for Sustainability. - Jannis Walk (2023)

Image-Mining-Based Decision Support Systems: Design Knowledge and its Evaluation in Tool Wear Analysis. - Jannis Walk; Max Schemmer; Niklas Kühl 001; Gerhard Satzger (Commun. Assoc. Inf. Syst., 2024)

Data-Centric Artificial Intelligence. - Johannes Jakubik; Michael Vössing; Niklas Kühl 001; Jannis Walk; Gerhard Satzger (Bus. Inf. Syst. Eng., 2024)