Philip Stahmann

According to our database, Philip Stahmann authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

A Prototypical Dashboard for Knowledge-Based Expert Systems used for Real-Time Anomaly Handling in Smart Manufacturing.

Philip Stahmann

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

The effect of Advanced Analytics Real-Time Dashboards on Cognitive absorption and Task Load of Human End Users.

Philip Stahmann, Alena Rodda, Christian Janiesch

Proceedings of the 31st European Conference on Information Systems, 2023

Towards a Student-Centered Learning Analytics Dashboard: Design, Development and Evaluation.

Alena Rodda, Philip Stahmann

Proceedings of the 29th Americas Conference on Information Systems, 2023

2022

A Benchmark for Real-Time Anomaly Detection Algorithms Applied in Industry 4.0.

Philip Stahmann, Bodo Rieger

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

A Real-Time Semantic Anomaly Labeler Capturing Local Data Stream Features to Distinguish Anomaly Types in Production.

Philip Stahmann, Maximilian Nebel, Bodo Rieger

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Towards Design Principles for a Real-Time Anomaly Detection Algorithm Benchmark Suited to Industrie 4.0 Streaming Data.

Philip Stahmann, Bodo Rieger

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Improving Machine Self-Diagnosis with an Instance-Based Selector for Real-Time Anomaly Detection Algorithms.

Philip Stahmann, Jon Oodes, Bodo Rieger

Proceedings of the Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs, 2022

2021

Digital Twins for Real-time Data Analysis in Industrie 4.0: Pathways to Maturity.

Philip Stahmann, Arne Krüger, Bodo Rieger

Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics, 2021

Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review.

Philip Stahmann, Bodo Rieger

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2019

Assessing the Suitability of ArchiMate to Model Industry 4.0 Production Systems.

Dennis Horstkemper, Philip Stahmann, Bernd Hellingrath

Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019