Terbuch Anika

Research output

Research output per year 2021 2023 2023

• 4 Conference contribution
• 2 Article
• 1 Poster
• 1 Master's Thesis

Research output per year

Research output per year

Search results

• 2023

  Application of hybrid machine learning based quality control in daily site management

  Zöhrer, A., Winter, V., Terbuch, A., O'Leary, P. & Khalilimotlaghkasmaei, N., 9 Oct 2023, Proceedings of the ISRM 15th International Congress on Rock Mechanics and Rock Engineering & 72nd Geomechanics Colloquium : Challenges in Rock Mechanics and Rock Engineering. Salzburg, p. 569-574 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• A Rayleigh-Ritz Autoencoder

  Terbuch, A., O'Leary, P., Ninevski, D., Hagendorfer, E. J., Schlager, E., Windisch, A. & Schweimer, C., 2023, 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (I2MTC 2023). Kuala Lumpur, Malaysia: Institute of Electrical and Electronics Engineers, p. 1-6

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Automatic Synthesis of Admissible Functions for Variational Learning

  O'Leary, P., Ninevski, D. & Terbuch, A., 2023, 2023 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2023). Institute of Electrical and Electronics Engineers

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning

  Terbuch, A., O'Leary, P., Khalilimotlaghkasmaei, N., Auer, P., Zöhrer, A. & Winter, V., 12 Jan 2023, In: IEEE transactions on instrumentation and measurement. 72.2023, 13 p., 2503711.

  Research output: Contribution to journal › Article › Research › peer-review

  Open Access

• The Rayleigh-Ritz Autoencoder with Distribution-Free Statistics

  Terbuch, A., Ninevski, D., O'Leary, P., Harker, M. & Mücke, M., 2023.

  Research output: Contribution to conference › Poster › Research › peer-review
• 2022

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

  Terbuch, A., O'Leary, P. & Auer, P., 2022, I2MTC 2022 - IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement under Pandemic Constraints, Proceedings. Institute of Electrical and Electronics Engineers, (Conference Record - IEEE Instrumentation and Measurement Technology Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Quality monitoring in vibro ground improvement: A hybrid machine learning approach

  Terbuch, A., Zöhrer, A., Winter, V., O'Leary, P., Khalilimotlaghkasmaei, N. & Steiner, G., 4 Oct 2022, In: Geomechanics and tunnelling. 15.2022, 5, p. 658-664 7 p.

  Research output: Contribution to journal › Article › Research › peer-review
  1 Citation (Scopus)
• 2021

  LSTM Hyperparameter Optimization: Impact of the Selection of Hyperparameters on Machine Learning Performance when applied to Time Series in Physical Systems

  Terbuch, A., 2021

  Research output: Thesis › Master's Thesis

  Open Access

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