| Diagnosis of tidal turbine vibration data through deep neural networks GS Galloway, VM Catterson, T Fay, A Robb, C Love Third European Conference of the Prognostics and Health Management Society …, 2016 | 31 | 2016 |
| Prognostic modeling of valve degradation within power stations MJ McGhee, G Galloway, VM Catterson, B Brown, E Harrison Annual Conference of the PHM Society 6 (1), 2014 | 17 | 2014 |
| Modeling and interpretation of tidal turbine vibration through weighted least squares regression GS Galloway, VM Catterson, C Love, A Robb, T Fay IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (4), 1252-1259, 2017 | 10 | 2017 |
| Anomaly detection techniques for the condition monitoring of tidal turbines GS Galloway, VM Catterson, C Love, A Robb Annual Conference of the PHM Society 6 (1), 2014 | 10 | 2014 |
| Developing anomaly detection, diagnostics and prognostics for condition monitoring with limited historical data in new applications such as tidal power GS Galloway | 1 | 2017 |
| Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation B Du, R Barton, G Galloway, J Huang, S Sam, I Tutar, C Yuan Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| Semi-automated estimation of weighted rates for e-commerce catalog quality monitoring M Sadinle, K Bouyarmane, G Galloway, S Sam, C Yuan, I Tutar | | 2022 |
