Antonios Papaoikonomou

Antonios Papaoikonomou

MSc Applied Machine Learning @ Imperial | ML/SW Engineer

Publications

You can also find my most recent research work on my Google Scholar profile.

Incentivising Participation with Exclusionary Sanctions

Published in International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems, 2023

Recommended citation: Blackledge, B. et al. (2023). Incentivising Participation with Exclusionary Sanctions (Full). In: Fornara, N., Cheriyan, J., Mertzani, A. (eds) Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVI. COINE 2023. Lecture Notes in Computer Science(), vol 14002. Springer, Cham. https://doi.org/10.1007/978-3-031-49133-7_3
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Deep learning techniques for in-core perturbation identification and localization of time-series nuclear plant measurements

Published in Annals of Nuclear Energy, 2022

Recommended citation: Papaoikonomou, A., Wingate, J., Verma, V., Durrant, A. M., Ioannou, G., Papagiannis, T., Yu, M., Alexandridis, G., Dokhane, A., Leontidis, G., Kollias, S., & Stafylopatis, A. (2022). Deep learning techniques for in-core perturbation identification and localization of time-series nuclear plant measurements. Annals of Nuclear Energy, 178, [109373]. https://doi.org/10.1016/j.anucene.2022.109373
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