| Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning A Terbuch, P O’Leary, N Khalili-Motlagh-Kasmaei, P Auer, A Zöhrer, ... IEEE Transactions on Instrumentation and Measurement, 2023 | 11 | 2023 |
| LSTM Hyperparameter Optimization: Impact of the Selection of Hyperparameters on Machine Learning Performance when applied to Time Series in Physical Systems A Terbuch University of Leoben, 2021 | 7 | 2021 |
| Hybrid machine learning for anomaly detection in industrial time-series measurement data A Terbuch, P O’Leary, P Auer 2022 IEEE International Instrumentation and Measurement Technology …, 2022 | 6 | 2022 |
| Quality monitoring in vibro ground improvement–A hybrid machine learning approach A Terbuch, A Zöhrer, V Winter, P O ‘Leary, N Khalili‐Motlagh‐Kasmaei, ... Geomechanics and tunnelling 15 (5), 658-664, 2022 | 5 | 2022 |
| A Rayleigh-Ritz Autoencoder A Terbuch, P O'Leary, D Ninevski, EJ Hagendorfer, E Schlager, ... 2023 IEEE International Instrumentation and Measurement Technology …, 2023 | 2 | 2023 |
| Automatic Synthesis of Admissible Functions for Variational Learning P O'Leary, D Ninevski, A Terbuch 2023 IEEE International Conference on Computational Intelligence and Virtual …, 2023 | 1 | 2023 |
| Hybrid Machine Learning in Conjunction with Physical Systems A Terbuch | | 2024 |
| Application of hybrid machine learning based quality control in daily site management A Zöhrer, V Winter, A Terbuch, P O’Leary, N Khalili-Motlagh-Kasmaei ISRM Congress, ISRM-15CONGRESS-2023-095, 2023 | | 2023 |
| The Rayleigh-Ritz Autoencoder with Distribution-Free Statistics A Terbuch, D Ninevski, P O'Leary, M Harker, M Mücke | | 2023 |
