Knowledge Incorporation for Machine Learning in Condition Monitoring: A Survey. - Elias Jan Hagendorfer (ISEEIE, 2021)

A Rayleigh-Ritz Autoencoder. - Anika Terbuch; Paul O'Leary; Dimitar Ninevski; Elias Jan Hagendorfer; Elke Schlager; Andreas Windisch; Christoph Schweimer (I2MTC, 2023)

Evaluation of Data Augmentation and Loss Functions in Semantic Image Segmentation for Drilling Tool Wear Detection. - Elke Schlager; Andreas Windisch; Lukas Hanna; Thomas Klünsner; Elias Jan Hagendorfer; Tamara Teppernegg (CoRR, 2023)

Acoustic Tool Condition Monitoring with Angular Resolution on the Cutting Edges. - Dimitar Ninevski; Paul O'Leary; Thomas Pisowicz; Julia Thaler; Elias Jan Hagendorfer (I2MTC, 2024)

Analysis of Phase-Space and Psychoacoustic Measures for Condition Monitoring of Milling Tools. - Dimitar Ninevski; Paul O'Leary; Thomas Pisowicz; Julia Thaler; Elias Jan Hagendorfer; David Neussl; Thomas Thurner (IEEE Trans. Instrum. Meas., 2025)

Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection. - Elke Schlager; Andreas Windisch; Lukas Hanna; Thomas Klünsner; Elias Jan Hagendorfer; Tamara Feil (J. Intell. Manuf., 2025)