Philip Stahmann

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Process Automation

Anomaly Detection

Top Venues

Publications

Alena Rodda, Philip Stahmann
Towards a Student-Centered Learning Analytics Dashboard: Design, Development and Evaluation. AMCIS (2023)
Alexander Mayr, Philip Stahmann, Maximilian Nebel, Christian Janiesch
Unified Theory of Acceptance and Use of Technology (UTAUT) for Intelligent Process Automation. ICIS (2023)
Philip Stahmann
A Prototypical Dashboard for Knowledge-Based Expert Systems used for Real-Time Anomaly Handling in Smart Manufacturing. HICSS (2023)
Philip Stahmann, Laura Sophie Gravemeier, Anke Dittmer, Christian Janiesch, Oliver Thomas
User-Centered Visual Design of Alarms in Manufacturing Dashboards: Insights on Comprehensibility and Preferences. ICIS (2023)
Philip Stahmann, Alena Rodda, Christian Janiesch
The effect of Advanced Analytics Real-Time Dashboards on Cognitive absorption and Task Load of Human End Users. ECIS (2023)
Philip Stahmann, Bodo Rieger
A Benchmark for Real-Time Anomaly Detection Algorithms Applied in Industry 4.0. LOD (1) (2022)
Philip Stahmann, Maximilian Nebel, Bodo Rieger
A Real-Time Semantic Anomaly Labeler Capturing Local Data Stream Features to Distinguish Anomaly Types in Production. LOD (1) (2022)
Philip Stahmann, Jon Oodes, Bodo Rieger
Improving Machine Self-Diagnosis with an Instance-Based Selector for Real-Time Anomaly Detection Algorithms. ICDSST (2022)
Philip Stahmann, Bodo Rieger
Towards Design Principles for a Real-Time Anomaly Detection Algorithm Benchmark Suited to Industrie 4.0 Streaming Data. HICSS (2022)
Philip Stahmann, Arne Krüger, Bodo Rieger
Digital Twins for Real-time Data Analysis in Industrie 4.0: Pathways to Maturity. IN4PL (2021)
Philip Stahmann, Bodo Rieger
Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review. HICSS (2021)
Dennis Horstkemper, Philip Stahmann, Bernd Hellingrath
Assessing the Suitability of ArchiMate to Model Industry 4.0 Production Systems. IIAI-AAI (2019)