Margin-based Greedy Shapelet Search for Robust Time Series Classification of Imbalanced Data. - Thomas Schlegl; Stefan Schlegl; Amélie Sciberras; Nikolai West; Jochen Deuse (IEEE BigData, 2021)

Towards integrated Data Analysis Quality: Criteria for the application of Industrial Data Science. - Nikolai West; Jonas Gries; Carina Brockmeier; Jens Christian Göbel; Jochen Deuse (IRI, 2021)

Comparative Study of Methods for the Real-Time Detection of Dynamic Bottlenecks in Serial Production Lines. - Nikolai West; Jörn Schwenken; Jochen Deuse (IEA/AIE, 2022)

Adaptive similarity search for the retrieval of rare events from large time series databases. - Thomas Schlegl; Stefan Schlegl; Domenico Tomaselli; Nikolai West; Jochen Deuse (Adv. Eng. Informatics, 2022)

Data-driven approach for diagnostic analysis of dynamic bottlenecks in serial manufacturing systems. - Nikolai West; Jörn Schwenken; Jochen Deuse (CoRR, 2023)

Pipeline for the Automatic Extraction of Procedural Knowledge from Assembly Instructions into Controlled Natural Language. - Christine Rese; Nikolai West; Mathias Gebler; Sven Krzoska; Philipp Schlunder; Jochen Deuse (J. Softw., 2023)

A Comparative Study of Machine Learning Approaches for Anomaly Detection in Industrial Screw Driving Data. - Nikolai West; Jochen Deuse (HICSS, 2024)

PyScrew: A Comprehensive Dataset Collection from Industrial Screw Driving Experiments. - Nikolai West; Jochen Deuse (CoRR, 2025)