Anika Terbuch

According to our database, Anika Terbuch authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Optimal Node Placement for Constrained Polynomial Interpolation.

Dimitar Ninevski, Paul O'Leary, Anika Terbuch, Matthew Harker

Proceedings of the 14th Mediterranean Conference on Embedded Computing, 2025

Instrumentation and Methods for the Computation of Borehole Trajectories and their Uncertainties.

Dimitar Ninevski, Paul O'Leary, Anika Terbuch, Negin Khalili, Daniel Mevec, Robert Fruhmann, Michael Habacher

Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

2024

Extended Rayleigh-Ritz Autoencoder with Distribution-Free Statistics.

Anika Terbuch, Dimitar Ninevski, Paul O'Leary, Matthew Harker, Manfred Mücke

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

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

A Rayleigh-Ritz Autoencoder.

Anika Terbuch, Paul O'Leary, Dimitar Ninevski, Elias Jan Hagendorfer, Elke Schlager, Andreas Windisch, Christoph Schweimer

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

Automatic Synthesis of Admissible Functions for Variational Learning.

Paul O'Leary, Dimitar Ninevski, Anika Terbuch

Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2023

2022

Hybrid Machine Learning for Anomaly Detection in Industrial Time-Series Measurement Data.

Anika Terbuch, Paul O'Leary, Peter Auer

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022