Publications for Nina Dethlefs
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Journal Articles
Dethlefs, N (2025)
Global evaluation of wave data reanalysis: Comparison of the ERA5 dataset to buoy observations,
Applied Ocean Research, ISSN: 0141-1187. DOI:
10.1016/j.apor.2025.104490.
Dethlefs, N and Cuayahuitl, H (2024)
User Engagement Triggers in Social Media Discourse on Biodiversity Conservation,
ACM Transactions on Social Computing, 7(1-4), pp.1-32, ISSN: 2469-7818. DOI:
10.1145/3662685.
Bryan-Smith, L, Godsall, J, George, F, Egode, K,
Dethlefs, N, Parsons, D (2023)
Real-time social media sentiment analysis for rapid impact assessment of floods,
Computers and Geosciences, 178, 105405, ISSN: 0098-3004. DOI:
10.1016/j.cageo.2023.105405.
Chatterjee, J and
Dethlefs, N (2023)
This new conversational AI model can be your friend, philosopher, and guide .. and even your worst enemy,
Patterns, 4(1), pp.100676-100676, ISSN: 2666-3899. DOI:
10.1016/j.patter.2022.100676.
Chatterjee, J and
Dethlefs, N (2022)
Automated Question-Answering for Interactive Decision Support in Operations & Maintenance of Wind Turbines,
IEEE Access, 10, pp.84710-84737, DOI:
10.1109/access.2022.3197167.
Chatterjee, J and
Dethlefs, N (2021)
Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future,
Renewable and Sustainable Energy Reviews, 144, pp.111051-111051, ISSN: 1364-0321. DOI:
10.1016/j.rser.2021.111051.
Schoene, AM, Turner, AP, De Mel, G,
Dethlefs, N (2021)
Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes,
IEEE Transactions on Affective Computing, 14(1), pp.153-164, DOI:
10.1109/taffc.2021.3057105.
Conferences
Sherratt, V, Pimbblet, K,
Dethlefs, N (2023)
Multi-channel Convolutional Neural Network for Precise Meme Classification. In
ICMR '23: International Conference on Multimedia Retrieval, Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, pp.190-198, DOI:
10.1145/3591106.3592275.
Lacey, G, Schoene, A,
Dethlefs, N, Turner, A (2020)
Improving the Transparency of Deep Neural Networks using Artificial Epigenetic Molecules. In
, International Joint Conference on Computational Intelligence, pp.167-175, DOI:
10.5220/0010105301670175.
Lacey, G, Schoene, A,
Dethlefs, N, Turner, A (2020) Improving the transparency of deep neural networks using artificial epigenetic molecules. In
, IJCCI 2020 - Proceedings of the 12th International Joint Conference on Computational Intelligence, pp.167-175.
Chapters
Houseago, RC, Mockute, A, Cross, EJ,
Dethlefs, N (2023)
Rapid Assessment of Offshore Monopile Fatigue Using Machine Learning. In
Lecture Notes in Civil Engineering, Springer International Publishing, pp.101-112, ISBN: 9783031072536. DOI:
10.1007/978-3-031-07254-3_11.
Turner, AP, Lacey, G, Schoene, A,
Dethlefs, N (2019)
Evolutionary Constraint in Artificial Gene Regulatory Networks. In
Advances in Intelligent Systems and Computing, Springer International Publishing, pp.29-40, ISBN: 9783319979816. DOI:
10.1007/978-3-319-97982-3_3.
