Hybrid Machine Learning for Anomaly Detection in Industrial Time-Series Measurement Data. - Anika Terbuch; Paul O'Leary; Peter Auer (I2MTC, 2022)

Automatic Synthesis of Admissible Functions for Variational Learning. - Paul O'Leary; Dimitar Ninevski; Anika Terbuch (CIVEMSA, 2023)

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

Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning. - Anika Terbuch; Paul O'Leary; Negin Khalili-Motlagh-Kasmaei; Peter Auer; Alexander Zöhrer; Vincent Winter (IEEE Trans. Instrum. Meas., 2023)

Instrumentation and Signal Processing for the Verification of Directional Drilling. - Paul O'Leary; Anika Terbuch; Dimitar Ninevski; Negin Khalili-Motlagh-Kasmaei; Daniel Mevec; Robert Fruhmann; Michael Habacher (I2MTC, 2024)

Extended Rayleigh-Ritz Autoencoder with Distribution-Free Statistics. - Anika Terbuch; Dimitar Ninevski; Paul O'Leary; Matthew Harker; Manfred Mücke (I2MTC, 2024)

Optimal Node Placement for Constrained Polynomial Interpolation. - Dimitar Ninevski; Paul O'Leary; Anika Terbuch; Matthew Harker (MECO, 2025)