Lucas Ferreira Correia
Gastpromovendus / buiten
- Naam
- L. Ferreira Correia
- ORCID iD
- 0000-0002-3653-5934
Gastpromovendus / buiten
Contact
- Ferreira Correia L., Goos J.C., Klein P., Bäck T.H.W. & Kononova A.V. (2025), TeVAE: a variational autoencoder aproach for discrete online anomaly detection in variable-state multivariate time-series data. Bäck T.H.W., Stein N. van, Wagner C., Garibaldi J.M., Marcelloni F., Lam H.K., Cottrell M., Doctor F., Filipe J., Warwick K. & Kacprzyk J. (red.), Computational intelligence: IJCCI 2023. Computational Intelligence. IJCCI 2023 13 november 2023 - 15 november 2023. Studies in Computational Intelligence nr. 1196. Cham: Springer . 106-132.
- Ferreira Correia L., Goos J.C., Bäck T.H.W. & Kononova A.V. (2025), PATH: a discrete-sequence dataset for evaluating online unsupervised anomaly detection approaches for multivariate time series, Big Data Research 42: 100573.
- Wagner B.G., Huang Q., Ferreira Correia L., Bäck T.H.W., Kononova A.V. & Stein N. van (2025), Remaining useful life in complex multi-component systems: taxonomy, review, and research directions. TechRxiv. [working paper].
- Ferreira Correia L., Goos J.-C., Klein P., Bäck T.H.W. & Kononova A.V. (2024), Online model-based anomaly detection in multivariate time series: taxonomy, survey, research challenges and future directions, Engineering Applications of Artificial Intelligence 138(part A): 109323.
- Ferreira Correia L., Goos J.C., Klein P., Bäck T.H.W. & Kononova A.V. (2023), MA-VAE: multi-head attention-based variational autoencoder approach for anomaly detection in multivariate time-series applied to automotive endurance powertrain testing. Stein N. van, Marcelloni F., Lam H.K., Cottrell M & Filipe J. (red.), Proceedings of the 15th international joint conference on computational intelligence. 15th International Conference on Neural Computation Theory and Applications 13 november 2023 - 15 november 2023: Scitepress. 407-418.