Olouladé, B. M., Gao, J., Al-Sabri, R., Chen, J. & Wu, Z. (2026).
Towards Better Graph Anomaly Detection: A Performance-Aware Neural Architecture Search Approach. I W. Senn, M. Sanguineti, A. Saudargiene, I. V. Tetko, A. E. P. Villa, V. Jirsa & Y. Bengio (red.),
Artificial Neural Networks and Machine Learning – ICANN 2025: 34th International Conference on Artificial Neural Networks, 2025, Proceedings (Bind Part 1, s. 285-297). Springer.
https://doi.org/10.1007/978-3-032-04558-4_23
Orr, J. A., Vinebrooke, R. D., Jackson, M. C., Kroeker, K. J., Kordas, R. L., Mantyka-Pringle, C., Van den Brink, P. J., De Laender, F., Stoks, R.
, Holmstrup, M., Matthaei, C. D., Monk, W. A., Penk, M. R., Leuzinger, S., Schäfer, R. B. & Piggott, J. J. (2020).
Towards a unified study of multiple stressors: divisions and common goals across research disciplines.
Proceedings of the Royal Society B: Biological Sciences,
287(1926), Artikel 20200421.
https://doi.org/10.1098/rspb.2020.0421