Semantic Identification and Visualization of Significant Words within Documents - Approach to Visualize Relevant Words within Documents to a Search Query by Word Similarity Computation. - Karolis Kleiza; Patrick Klein; Klaus-Dieter Thoben (KDIR, 2010)

Supporting Inclusive Design of User Interfaces with a Virtual User Model. - Pierre T. Kirisci; Patrick Klein; Markus Modzelewski; Michael Lawo; Yehya Mohamad; Thomas Fiddian; Chris Bowden; Antoinette Fennell; Joshue O. Connor (HCI (6), 2011)

Prototype of a Virtual User Modeling Software Framework for Inclusive Design of Consumer Products and User Interfaces. - Svetlana Matiouk; Markus Modzelewski; Yehya Mohamad; Michael Lawo; Pierre T. Kirisci; Patrick Klein; Antoinette Fennell (HCI (6), 2013)

Improving Neural Knowledge Base Completion with Cross-Lingual Projections. - Patrick Klein; Simone Paolo Ponzetto; Goran Glavas (EACL (2), 2017)

Towards a platform for integrating product usage information into innovative product-service design. - Karl Hribernik; Marco Franke; Patrick Klein; Klaus-Dieter Thoben; Eva Coscia (ICE/ITMC, 2017)

Data Generation with a Physical Model to Support Machine Learning Research for Predictive Maintenance. - Patrick Klein; Ralph Bergmann (LWDA, 2018)

Learning Workflow Embeddings to Improve the Performance of Similarity-Based Retrieval for Process-Oriented Case-Based Reasoning. - Patrick Klein; Lukas Malburg; Ralph Bergmann (ICCBR, 2019)

A Prospective Data-Oriented Framework for New Vessel Design. - Brendan Patrick Sullivan; Shantanoo Desai; Patrick Klein; Jordi Solé Rebull; Monica Rossi; Lucia Ramundo; Sergio Terzi; Klaus-Dieter Thoben (ICE/ITMC, 2019)

Generation of Complex Data for AI-based Predictive Maintenance Research with a Physical Factory Model. - Patrick Klein; Ralph Bergmann (ICINCO (1), 2019)

FTOnto: A Domain Ontology for a Fischertechnik Simulation Production Factory by Reusing Existing Ontologies. - Patrick Klein; Lukas Malburg; Ralph Bergmann (LWDA, 2019)

Using Siamese Graph Neural Networks for Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning. - Maximilian Hoffmann 001; Lukas Malburg; Patrick Klein; Ralph Bergmann (ICCBR, 2020)

Semantic Web Services for AI-Research with Physical Factory Simulation Models in Industry 4.0. - Lukas Malburg; Patrick Klein; Ralph Bergmann (IN4PL, 2020)

Enhancing Siamese Neural Networks Through Expert Knowledge for Predictive Maintenance. - Patrick Klein; Niklas Weingarz; Ralph Bergmann (IoT Streams/ITEM@PKDD/ECML, 2020)

Using Semantic Web Services for AI-Based Research in Industry 4.0. - Lukas Malburg; Patrick Klein; Ralph Bergmann (CoRR, 2020)

Object Detection for Smart Factory Processes by Machine Learning. - Lukas Malburg; Manfred-Peter Rieder; Ronny Seiger; Patrick Klein; Ralph Bergmann (ANT/EDI40, 2021)

Using Expert Knowledge for Masking Irrelevant Data Streams in Siamese Networks for the Detection and Prediction of Faults. - Patrick Klein; Niklas Weingarz; Ralph Bergmann (IJCNN, 2021)

An Approach to Digitalising the Manufacturing Steps of Large-Scale Components by Using an Industrial Pilot Case. - Kay Burow; Patrick Klein; Klaus-Dieter Thoben (APMS (1), 2022)

Approach on How to Handle Digital Thread Information in Manufacturing with a Human-Centric Perspective Taking into Account a Didactic Factory. - Kay Burow; Patrick Klein; Karl Hribernik; Klaus-Dieter Thoben (APMS (4), 2023)

Converting semantic web services into formal planning domain descriptions to enable manufacturing process planning and scheduling in industry 4.0. - Lukas Malburg; Patrick Klein; Ralph Bergmann (Eng. Appl. Artif. Intell., 2023)

Combining informed data-driven anomaly detection with knowledge graphs for root cause analysis in predictive maintenance. - Patrick Klein; Lukas Malburg; Ralph Bergmann (Eng. Appl. Artif. Intell., 2025)